Haskell Communities and Activities Report

pdf version

Twenty-Sixth Edition – May 2014

Mihai Maruseac, Alejandro Serrano Mena (eds.)

Andreas Abel

Alexander Granin

Heinrich Apfelmus

Daniel Austin

Emil Axelsson

Doug Beardsley

Jean-Philippe Bernardy

Jeroen Bransen

Joachim Breitner

Erik de Castro Lopo

Lucas DiCioccio

Roman Cheplyaka

Olaf Chitil

Alberto Gomez Corona

Duncan Coutts

Atze Dijkstra

Péter Divianszky

Richard Eisenberg

Andrew Farmer

Dennis Felsing

Julian Fleischer

Andrew Gibiansky

Brett G. Giles

Andy Gill

Jurriaan Hage

Greg Hale

Bastiaan Heeren

Sylvain Henry

PALI Gabor Janos

Bob Ippolito

Philipp Kant

Robin KAY

Anton Kholomiov

Ian-Woo Kim

Oleg Kiselyov

Edward Kmett

Eric Kow

Nickolay Kudasov

Ben Lippmeier

Andres Löh

Rita Loogen

Boris Lykah

Ian Lynagh

Christian Maeder

José Pedro Magalhães

Ketil Malde

Mihai Maruseac

Dino Morelli

JP Moresmau

Ben Moseley

Tom Nielsen

Rishiyur Nikhil

Kiwamu Okabe

Jens Petersen

Haskell Consultancy Munich

Simon Peyton Jones

Ian Ross

David Sabel

Martijn Schrage

Carter Tazio Schonwald

Jeremy Shaw

Christian Höner zu Siederdissen

Jim Snow

Michael Snoyman

Andrei Soare

Doaitse Swierstra

Bernhard Urban

Alessio Valentini

Adam Vogt

Daniel Wagner

Kazu Yamamoto

Edward Z. Yang

Brent Yorgey

Alan Zimmerman


This is the 26th edition of the Haskell Communities and Activities Report. As usual, fresh entries are formatted using a blue background, while updated entries have a header with a blue background. Entries on which no new activity has been reported for a year or longer have been dropped completely. Please do revive such entries next time if you do have news on them.

This edition is the first one in which the people behind HCAR are new. Because of that, the development of this edition started a little slower but will improve in time as we get used with the process.

We want to thank Janis for keeping HCAR going so far and for helping us in taking over on this edition.

A call for new HCAR entries and updates to existing ones will be issued on the Haskell mailing lists in October. Now enjoy the current report and see what other Haskellers have been up to lately. Any feedback is very welcome, as always.

Mihai Maruseac, University of Massachusetts Boston, US
Alejandro Serrano Mena, Utrecht University, Netherlands
<hcar at>

1  Community

1.1  Haskell’ — Haskell 2014

Report by:Ian Lynagh
Participants:Carlos Camarão, Iavor Diatchki, Bas van Dijk, Ian Lynagh, John Meacham, Neil Mitchell, Ganesh Sittampalam, David Terei, Henk-Jan van Tuyl

Haskell’ is an ongoing process to produce revisions to the Haskell standard, incorporating mature language extensions and well-understood modifications to the language. New revisions of the language are expected once per year.

The Haskell 2014 committee has now formed, and we would be delighted to receive your proposals for changes to the language. Please see for details on the proposal process.

The committee will meet 4 times a year, to consider proposals completed before:

So if you have been meaning to put the finishing touches to a proposal, then we would encourage you to do so by the end of July!

The source for the Haskell report will be updated as proposals are accepted, but new versions of the standard will only be released once a year, during January.

1.2  Haskellers

Report by:Michael Snoyman

Haskellers is a site designed to promote Haskell as a language for use in the real world by being a central meeting place for the myriad talented Haskell developers out there. It allows users to create profiles complete with skill sets and packages authored and gives employers a central place to find Haskell professionals.

Since the May 2011 HCAR, Haskellers has added polls, which provides a convenient means of surveying a large cross-section of the active Haskell community. There are now over 1300 active accounts, versus 800 one year ago.

Haskellers remains a site intended for all members of the Haskell community, from professionals with 15 years experience to people just getting into the language.

Further reading

2  Books, Articles, Tutorials

2.1  The Monad.Reader

Report by:Edward Z. Yang

There are many academic papers about Haskell and many informative pages on the HaskellWiki. Unfortunately, there is not much between the two extremes. That is where The Monad.Reader tries to fit in: more formal than a wiki page, but more casual than a journal article.

There are plenty of interesting ideas that might not warrant an academic publication—but that does not mean these ideas are not worth writing about! Communicating ideas to a wide audience is much more important than concealing them in some esoteric journal. Even if it has all been done before in the Journal of Impossibly Complicated Theoretical Stuff, explaining a neat idea about “warm fuzzy things” to the rest of us can still be plain fun.

The Monad.Reader is also a great place to write about a tool or application that deserves more attention. Most programmers do not enjoy writing manuals; writing a tutorial for The Monad.Reader, however, is an excellent way to put your code in the limelight and reach hundreds of potential users.

Since the last HCAR there has been one new issue, featuring tutorials on generalized algebraic data types, monad transformers, and approximating NP-complete problems with monoids.

Further reading

2.2  Oleg’s Mini Tutorials and Assorted Small Projects

Report by:Oleg Kiselyov

The collection of various Haskell mini tutorials and assorted small projects ( has received two additions:

Translucent applicative functors in Haskell

ML is known for its sophisticated, higher-order module system, one of the most interesting examples of which is a translucent applicative functor such as SET parameterized by the element-comparison function. If we make two instances of the SET with the same |(>)| comparison on integers, we can take an element from one set and put in in the other: the element types are ‘transparent’ and the compiler can clearly see they are both integers. We can also take a union of the two sets. The type of the set itself is opaque – set values can only be manipulated by the operations of SET. Now the compiler cannot see the concrete representations of the set types and verify they are the same. The compiler knows however that instantiations of SETs with the identical element comparisons are type-compatible.

It turns out translucent functors can be implemented in Haskell idiomatically, taking the full use of type classes. We also show that type sharing constraints can be expressed in a scalable manner, so that the whole translation is practically usable. Thus we demonstrate that Haskell already has a higher-order module language. No new extensions are required; furthermore, we avoid even undecidable let alone overlapping instances.

The article concludes with correspondences between OCaml modules, signatures and functors on one hand and Haskell type classes and instances on the other. The correspondences proved useful as a guideline for translating OCaml code with modules to idiomatic Haskell – or type-class–rich Haskell code to OCaml.

ML-style modules with type sharing by name in Haskell

This second mini-tutorial in the series on higher-order module programming in Haskell deals with type-equality, or sharing constraints. The naive implementation of sharing constraints (sharing by position) leads to the exponential explosion of type parameters, as was shown by Harper and Pierce in 2003. It has been often suggested that records at the type level be introduced to address this issue.

In the joint article with Chung-chieh Shan, we translate Harper and Pierce’s example into Haskell, using only the most common Haskell extensions to give type-equality constraints by name and avoid the exponential blowup. We can indeed refer to type parameters ‘by name’ without any type-level records, taking advantage of the ability of a Haskell compiler to unify type expressions and bind type variables. We hope this message helps clarify the difference between the two sharing styles, and relate the ML and Haskell orthodoxies.

2.3  Agda Tutorial

Report by:Péter Divianszky
Participants:Ambrus Kaposi, students at ELTE IK

Agda may be the next programming language to learn after Haskell. Learning Agda gives more insight into the various type system extensions of Haskell, for example.

The main goal of the tutorial is to let people explore programming in Agda without learning theoretical background in advance. Only secondary school mathematics is required for the tutorial.

Further reading

2.4  School of Haskell

Report by:Michael Snoyman
Participants:Edward Kmett, Simon Peyton Jones and others

Strides are being made to drive greater Haskell adoption. One resource helping with this push is the School of Haskell at FP Complete. The School of Haskell contains tutorials, courses, and articles created by both the Haskell community and the developers at FP Complete. Courses for all levels of developers are available and since going live in early 2013, it has benefited immensely from a lot of excellent content provided by the Haskell community.

The School of Haskell is an excellent resource for Haskell developers looking to share their projects and to become more proficient with Haskell. So far 1400 tutorials have been created and 288 have been officially published. Some very notable authors including, Edward Kmett, Michael Snoyman, and Simon Peyton Jones have contributed tutorials. To date, the school of Haskell has had nearly 25k unique visitors.

All Haskell programmers are encouraged to visit the School of Haskell and to contribute their ideas and projects. This is another opportunity to showcase the virtues of Haskell and the sophistication and high level thinking of the Haskell community.

Further reading

3  Implementations

3.1  The Glasgow Haskell Compiler

Report by:Simon Peyton Jones
Participants:many others

In early April 2014, GHC 7.8 was finally released, after nearly 18 months of development. This was one of the longest development periods in recent memory, and there was a lot of grumbling near the end. Ultimately, the reason for this was scope creep - we kept getting bugs dripping in here and there, and fixing them, and putting things in.

Meanwhile, HEAD steams onward, with some preliminary work for the 7.10 milestone laid down. We’ve already got some plans as to what we’ll be doing - and if you want something done, you should join in as well!

GHC 7.8

We released GHC 7.8.1 in early April, and immediately discovered a disastrous bug ( that had slipped in between the release candidates. That led to an immediate follow-up release of 7.8.2, which seems pretty stable. We will continue to fix bugs on the 7.8 branch, and release 7.8.3 later this year, when (and if) pressure builds up from users to get the fixes into the field.

However, now that 7.8 is out, there is a lot there for users to play with: the release was one of the most feature-packed ones we’ve done, with a lot of changes touching almost every part of the compiler. To recap a few of them:

Dynamic GHC
GHC and GHCi are now dynamically linked - this means any time you ask them to load object code (for example, loading a library in GHCi, or using TemplateHaskell when you compile something) GHC will now use the system linker. The upshot of this is that a lot of nasty bugs in our own linker have been fixed - there are a few catches for users however. To that end, we’ve put together a GHC 7.8 FAQ ([GHC78FAQ]) to help people who might experience problems, dynamic GHC being one of them.

New and improved I/O manager
Earlier this year, Andreas Voellmy and Kazu Yamamoto worked on a host of improvements to our I/O manager, making it scale significantly better on multicore machines. Since then, it’s seen some other performance tweaks, and many bugfixes. As a result, the new I/O manager should scale linearly up to about 40 cores. Andreas reports their McNettle Software-defined-network (SDN) implementation can now achieve over twenty million connections per second, making it the fastest SDN implementation around - an incredible feat! ([McNettle])

MINIMAL pragma
Twan van Laarhoven implemented a new pragma, |-# MINIMAL #-|, allowing you to explicitly declare the minimal complete definition of a class [Minimal].

Typed Holes
Thijs Alkemade and Simon PJ got an implementation of TypeHoles in GHC, meaning it’s possible to tell GHC there is a ‘hole’ in a program, and have the compiler spit out an error stating what types are in scope. As a trivial example

Prelude> :set -XTypeHoles
Prelude> let f :: a -> a; f x = _
    Found hole '_' with type: a
    Where: 'a' is a rigid type variable 
       bound by the type signature for 
       f :: a -> a at <interactive>:6:10
    Relevant bindings include
      x :: a (bound at <interactive>:6:20)
      f :: a -> a (bound at
    In the expression: _
    In an equation for 'f': f x = _

GHC now tells us that the term |f| has a hole of type |a|, and there is a term |x :: a| in scope. So the definition is clear: |f x = x|. Holes are originally a concept borrowed from Agda, and we hope they will be useful to Haskell programmers too!

Pattern synonyms
GergöErdi worked on an implementation of pattern synonyms for GHC, and it actually landed in the 7.8 release. While there’s still more work to do, it represents a real improvement in GHC’s support for abstraction. More detail on the wiki page [PatSyn].

New Template Haskell.
Geoff Mainland did the heavy lifting to implement the new Template Haskell story, more or less as described in Simon’s blog post [THBlog]. Template Haskell now has two flavours, which can inter-operate. Typed TH is fully typed in the style of Meta ML, but works for expressions only. Untyped TH is much more expressive, allowing splices in patterns, types, and declarations, as well as expressions, but is completely untyped. Gergely Risko added support for creating and reifying annotations from Template Haskell. The API for this feature may change in 7.10, but not drastically, probably only will be extended. The overview of the feature with examples is detailed on the TemplateHaskell/Annotations ([THAnnotations]) page.

Closed type families
are a major extension to the type-family feature, implemented by Richard Eisenberg. A closed type family allows you to declare all the equations for a type family in one place, with top-to-bottom matching; for example

type family Or a b where
  Or False False = False
  Or a     b     = True

We thought this was going to be fairly easy, but it turned out to be much more interesting than we expected, and led to a POPL paper [ClosedFam].

Safe coercions
extend the power of newtypes, one of Haskell’s main data-abstraction features. For example, given

newtype Age = MkAge Int

you can convert betwen |Age| and |Int| by using the |MkAge| constructor, knowing that the conversion is free at runtime. But to convert betwen |Maybe Age| and |Maybe Int| you have to write code that unpacks and packs the |Maybe| type, and GHC cannot reasonably eliminate the cost. Safe coercions let you do just that. But (and this is not obvious) to be type-safe, in the presence of type families, we have to extend the type system with so-called type roles. Moreover, using roles finally solves the notorious, seven-year-old Generalised Newtype Deriving bug. Safe conversions were implemented by Joachim Breitner with help from Richard Eisenberg; there is a full description in our ICFP submission [SafeCo].

New code generator
As previously reported, the New Code Generator is live and switched on by default. There have been a host of bugfixes and stability improvements, meaning it should be solid for the 7.8 release.

Parallel --make
as part of the 2013 GSoC, Patrick Palka implemented a new parallel compilation driver, a long-requested feature. This allows GHC to build multiple modules in parallel when using --make by adding a -j flag, while having almost no overhead in the single-threaded case.

iOS support
After many years of work by Ian, Stephen Blackheath, Gabor Greif and friends Luke Iannini and Maxwell Swadling, GHC now has full support for iOS cross-compilation. As of GHC 7.8, you’ll really be able to write iOS apps in your favorite programming language!

That’s just a fraction of what we did in the 7.8 timeline - there were at least a dozen other significant improvements, as you can see from the release notes [ReleaseNotes]

Future plans:

There’s still a lot planned for GHC 7.10, however. While we haven’t quite decided when we’ll release it, it will very likely be a short release cycle compared to the last one - which was the longest one we’ve had!

Libraries, source language, type system:

GHC 7.10 will (finally) make |Applicative| a superclass of |Monad|. This is an API-breaking change for |base|, and users are encouraged to begin fixing their code now. To that end, GHC 7.8 now emits warnings for code that would violate the Applicative-Monad proposal [AMP].

Now that |Applicative| is a superclass of |Monad|, Simon Marlow has plans to implement a new extension for GHC, which will allow |do| notation to be used in the context of |Applicative|, not just |Monad|.

Overloaded record fields
In 2013, Adam Gundry implemented the new |-XOverloadedRecordFields| extension for GHC, described on the wiki [ORF]. This will finally be available in GHC 7.10.

Kinds without Data
Trevor Elliott, Eric Mertens, and Iavor Diatchki have began implementing support for "data kind" declarations, described in more detail on the GHC wiki [KD]. The idea is to allow a new form of declaration that introduces a new kind, whose members are described by the (type) constructors in the declaration. This is similar to promoting data declarations, except that no new value-level-constructors are declared, and it also allows the constructors to mention other kinds that do not have corresponding type-level representation (e.g., *).

Explicit type application
Stephanie Weirich, Richard Eisenberg and Hamidhasan Ahmed have been working on adding explicit type applications to GHC. This allows the programmer to specify the types that should be instantiated for arguments to a function application, where normally they would be inferred. While this capability already exists in GHC’s internal language, System FC – indeed, every FC-pro program has function application with explicitly applied types – it has not been available in Haskell itself. While a lot of the syntax and design is not quite final, there are some details about the design available on the wiki [TA].

Using an SMT Solver in the type-checker
Iavor Diatchki is working on utilizing an off-the-shelf SMT solver in GHC’s constraint solver. Currently, the main focus for this is improved support for reasoning with type-level natural numbers, but it opens the doors to other interesting functionality, such as supported for lifted (i.e., type-level) (&&), and (||), type-level bit-vectors (perhaps this could be used to implement type-level sets of fixed size), and others. This work is happening on branch |wip/ext-solver|.

Kind equality and kind coercions
Richard Eisenberg (with support from Simon PJ and Stephanie Weirich, among others) is implementing a change to the Core language, as described in a recent paper [FC]. When this work is complete, all types will be promotable to kinds, and all data constructors will be promotable to types. This will include promoting type synonyms and type families. As the details come together, there may be other source language effects, such as the ability to make kind variables explicit. It is not expected for this to be a breaking change – the change should allow strictly more programs to be accepted.

Partial type signatures
Thomas Winant and Dominique Devriese are working on partial type signatures for GHC. A partial type signature is a type signature that can contain wildcards, written as underscores. These wildcards can be types unknown to the programmer or types he doesn’t care to annotate. The type checker will use the annotated parts of the partial type signature to type check the program, and infer the types for the wildcards. A wildcard can also occur at the end of the constraints part of a type signature, which indicates that an arbitrary number of extra constraints may be inferred. Whereas |-XTypedHoles| allow holes in your terms, |-XPartialTypeSignatures| allow holes in your types. The design as well as a working implementation are currently being simplified [PTS].

Back end and runtime system

Dynamic space limits
Edward has been working on dynamic space limits for Haskell, whereby you can run some code in a container with a maximum space limit associated with it. There’s working code [RLIMITS] but there are some barriers to getting it deployable in GHC (it requires a new compilation mode ala prof, and it doesn’t yet work with GHCi or 32-bit). We’re not yet sure if this will make it for 7.10, but look out!

CPU-specific optimizations
Austin is currently investigating the implementation of CPU-specific optimisations for GHC, including new -march and -mcpu flags to adjust tuning for a particular processor. Right now, there is some preliminary work towards optimizing copies on later Intel machines. There’s interest in expanding this further as well.

Changes to static closures for faster garbage collection
Edward is working on an overhaul of how static closures represented at runtime to eliminate some expensive memory dereferences in the GC hotpath. The initial results are encouraging: these changes can result in an up to 8%in the runtime of some GC heavy benchmarks [HEAPALLOCED].

Austin &friends have began running the Coverity static analyzer over the GHC runtime system in an attempt to weed out bugs [Coverity]. This has luckily reported several very useful issues to us, and identified some possible cleanup. These fixes are also going into the 7.8 branch, and GHC and its associated code will be scanned by Coverity continuously in the future.

New, smaller array type
Johan Tibell has recently added a new array type, |SmallArray#|, which uses less memory (2 words) than the |Array#| type, at the cost of being more expensive to garbage collect for array sizes large than 128 elements.

DWARF-based stack tracing
Peter Wortmann and Arash Rouhani (with support from the Simons) are working on enabling GHC to generate and use DWARF debugging information. This should allow us to obtain stack traces and do profiling without the need for instrumentation.

Frontend, build-system, and miscellaneous changes

Repo reorganization
One big thing that Herbert Valerio Riedel has been tackling has been the problematic situation with GHC’s current usage of git submodules and ./sync-all. This is one of our most common complaints from newcomers and people attempting to help with development (with good reason), and we’re hoping within the 7.10 timeframe, GHC will be far easier to clone and work on.

To this end, we’ve already done some massive simplification - in HEAD, the repositories for base, testsuite, template-haskell, ghc-prim, integer-gmp and integer-simple are now part of GHC’s repository itself. These repositories are commonly developed in lockstep with GHC, and it greatly helps in many workflows, including bisection of bugs.

Moreover, the remaining packages officially maintained by the core library committee that are currently managed via GHC’s Trac will be relocated to the Haskell GitHub organization in order to have GHC Trac focus on developing GHC proper as well as reduce the overhead for casual contributors to file issues and submit simple fixes for those packages.

Continuous integration improvements
Work on new CI systems for GHC has been slow, but thanks to the work of Joachim Breitner and Gabor Pali, GHC is now built on [TravisCI] as well as nightly builders of a variety of flavors and machines [Builders]. We’re also hoping to investigate using a Continuous Integration system to help build against a stable set of selected Hackage packages, to help find issues with the releases more easily.

Debian builds of GHC
Thanks to Joachim Breitner and Herbert Valerio Riedel, GHC now has greatly improved support for Debian packaging - there is now an official Ubuntu PPA for GHC [PPA], as well as a dedicated Debian repository for GHC nightly builds [DEB].

Development updates, joining in and a big Thank You!

In the past several months, GHC has seen a surge of community involvement, and a great deal of new contributors.

As ever, there is a ton of stuff in the future for us to do. If you want something done — don’t wait, it might take a while. You should join us instead!


3.2  Ajhc Haskell Compiler

Report by:Kiwamu Okabe
Participants:John Meacham, Hiroki Mizuno, Hidekazu Segawa, Takayuki Muranushi

What is it?

Ajhc is a Haskell compiler, and acronym for “A fork of jhc”.

Jhc ( converts Haskell code into pure C language code running with jhc’s runtime. And the runtime is written with 3000 lines (include comments) pure C code. It’s a magic!

Ajhc’s mission is to keep contribution to jhc in the repository. Because the upstream author of jhc, John Meacham, can’t pull the contribution speedily. (I think he is too busy to do it.) We should feedback jhc any changes. Also Ajhc aims to provide the Metasepi project with a method to rewrite NetBSD kernel using Haskell. The method is called Snatch-driven development

Ajhc is, so to speak, an accelerator to develop jhc.


NetBSD kernel’s HD Audio sound driver has interrupt handler. The interrupt handler of the demo is re-written by Haskell language using Ajhc.

At the demo, run following operations. First, set breakpoint at the interrupt of finding headphone, and see Haskell function names on backtrace. Second, set breakpoint s_alloc() function, that allocate area in Haskell heap. Make sure of calling the function while anytime running kernel. Nevertheless, playing wav file does not break up.

The source code is found at The interrupt handler source code at

Discussion on mailing list:

The touchable cube application is written with Haskell and compiled by Ajhc. In the demo, the application is breaked by ndk-gdb debugger when running GC. You could watch the demo source code at

The demo is running code that compiled with Ajhc on Cortex-M3 board, mbed. It’s a simple RSS reader for, showing the RSS titles on Text LCD panel. You could watch the demo detail and source code at

The demo is running Haskell code without any OS. Also the clock exception handler is written with Haskell.


You can install Ajhc from Hackage.

$ cabal install ajhc
$ ajhc --version
ajhc (9c264872105597700e2ba403851cf3b
compiled by ghc-7.6 on a x86_64 running linux
$ echo 'main = print "hoge"' > Hoge.hs
$ ajhc Hoge.hs
$ ./hs.out

Please read “Ajhc User’s Manual” to know more detail. (

Future plans

Maintain Ajhc as compilable with latast GHC.



Further reading

3.3  UHC, Utrecht Haskell Compiler

Report by:Atze Dijkstra
Participants:many others
Status:active development

UHC is the Utrecht Haskell Compiler, supporting almost all Haskell98 features and most of Haskell2010, plus experimental extensions.

StatusCurrent work is on incrementality of analysis via the Attribute Grammar system used to construct UHC (Jeroen Bransen).

Intended work is on (1) rewriting the type system combining ideas from the constrained-based approach in GHC and type error improvements found in Helium (Alejandro Serrano), and (2) incorporating theoretical work on static analyses (TBD).

Background.UHC actually is a series of compilers of which the last is UHC, plus infrastructure for facilitating experimentation and extension. The distinguishing features for dealing with the complexity of the compiler and for experimentation are (1) its stepwise organisation as a series of increasingly more complex standalone compilers, the use of DSL and tools for its (2) aspectwise organisation (called Shuffle) and (3) tree-oriented programming (Attribute Grammars, by way of the Utrecht University Attribute Grammar (UUAG) system (→5.3.2).

Further reading

3.4  Specific Platforms

3.4.1  Haskell on FreeBSD

Report by:PALI Gabor Janos
Participants:FreeBSD Haskell Team

The FreeBSD Haskell Team is a small group of contributors who maintain Haskell software on all actively supported versions of FreeBSD. The primarily supported implementation is the Glasgow Haskell Compiler together with Haskell Cabal, although one may also find Hugs and NHC98 in the ports tree. FreeBSD is a Tier-1 platform for GHC (on both i386 and amd64) starting from GHC 6.12.1, hence one can always download vanilla binary distributions for each recent release.

We have a developer repository for Haskell ports that features around 486 ports of many popular Cabal packages. The updates committed to this repository are continuously integrated to the official ports tree on a regular basis. However, the FreeBSD Ports Collection already includes many popular and important Haskell software: GHC 7.6.3, Haskell Platform 2013.2.0.0, Gtk2Hs, wxHaskell, XMonad, Pandoc, Gitit, Yesod, Happstack, Snap, Agda, git-annex, and so on – all of them have been incorporated into the recent 9.2-RELEASE.

In cooperation with fellow developers, Konstantin Belousov and Dimitry Andric, we have managed to restore the ability to build GHC on 32-bit 10.x FreeBSD systems, so now it is ready to be included in the upcoming 10.0-RELEASE. In addition, it turned out that this bug (in thread signal delivery) can also affect the building process for other platforms as well, which explains some of the strange build breakages our users might have experienced in the past.

If you find yourself interested in helping us or simply want to use the latest versions of Haskell programs on FreeBSD, check out our page at the FreeBSD wiki (see below) where you can find all important pointers and information required for use, contact, or contribution.

Further reading

3.4.2  Debian Haskell Group

Report by:Joachim Breitner

The Debian Haskell Group aims to provide an optimal Haskell experience to users of the Debian GNU/Linux distribution and derived distributions such as Ubuntu. We try to follow the Haskell Platform versions for the core package and package a wide range of other useful libraries and programs. At the time of writing, we maintain 741 source packages.

A system of virtual package names and dependencies, based on the ABI hashes, guarantees that a system upgrade will leave all installed libraries usable. Most libraries are also optionally available with profiling enabled and the documentation packages register with the system-wide index.

The recently released stable Debian release (“wheezy”) provides the Haskell Platform 2012.3.0.0 and GHC 7.4.1, while in Debian unstable, we provide the platform 2013.2.0.0 and GHC 7.6.3. GHC 7.8.2 is available in Debian experimental.

Debian users benefit from the Haskell ecosystem on 13 architecture/kernel combinations, including the non-Linux-ports KFreeBSD and Hurd.

Further reading

3.4.3  Fedora Haskell SIG

Report by:Jens Petersen
Participants:Ricky Elrod, Ben Boeckel, Shakthi Kannan, and others

The Fedora Haskell SIG works to provide good Haskell support in the Fedora Project Linux distribution.

Fedora 20 shipped in December with ghc-7.6.3, haskell-platform-2013.2.0.0, and version updates to many other packages. New packages added included shake and 30 libraries. We also spent some effort splitting out packages from haskell-platform into their own separate source packages again.

Fedora 21 development is now underway: we plan to update ghc to 7.8, refresh many packages to their latest versions, and are also actively adding new libraries.

EPEL 7 is currently in Beta with ghc-7.6.3, haskell-platform-2013.2.0.0 and many other packages already built. EPEL 5 was updated to ghc-7.0.4 in February and it is planned to update EPEL 6 to ghc-7.4.2 later this year.

At the time of writing we now have around 280 Haskell source packages in Fedora. The cabal-rpm packaging tool has been improved further: with new prep, install and dependency commands, and it now refers .spec files when no .cabal file is around.

If you want to help with Fedora Haskell packaging, please join our low-traffic mailing-list and the Freenode #fedora-haskell channel. You can also follow @fedorahaskell for irregular updates.

Further reading

4  Related Languages and Language Design

4.1  Agda

Report by:Andreas Abel
Participants:Nils Anders Danielsson, Ulf Norell, Makoto Takeyama, Stevan Andjelkovic, Jean-Philippe Bernardy, James Chapman, Dominique Devriese, Péter Divianszky Fredrik Nordvall Forsberg, Olle Fredriksson, Daniel Gustafsson, Alan Jeffrey, Fredrik Lindblad, Guilhem Moulin, Nicolas Pouillard, Andrés Sicard-Ramirez and many more
Status:actively developed

Agda is a dependently typed functional programming language (developed using Haskell). A central feature of Agda is inductive families, i.e., GADTs which can be indexed by values and not just types. The language also supports coinductive types, parameterized modules, and mixfix operators, and comes with an interactive interface—the type checker can assist you in the development of your code.

A lot of work remains in order for Agda to become a full-fledged programming language (good libraries, mature compilers, documentation, etc.), but already in its current state it can provide lots of fun as a platform for experiments in dependently typed programming.

Since the release of Agda 2.3.2 in November 2012 the following has happened in the Agda project and community:

Release of Agda 2.3.4 is planned to happen in the second quartal of 2014.

Further reading

The Agda Wiki:

4.2  MiniAgda

Report by:Andreas Abel

MiniAgda is a tiny dependently-typed programming language in the style of Agda (→4.1). It serves as a laboratory to test potential additions to the language and type system of Agda. MiniAgda’s termination checker is a fusion of sized types and size-change termination and supports coinduction. Bounded size quantification and destructor patterns for a more general handling of coinduction. Equality incorporates eta-expansion at record and singleton types. Function arguments can be declared as static; such arguments are discarded during equality checking and compilation.

MiniAgda is now hosted on MiniAgda is available as Haskell source code on hackage and compiles with GHC 6.12.x – 7.8.2.

Further reading

4.3  Disciple

Report by:Ben Lippmeier
Participants:Ben Lippmeier, Amos Robinson, Erik de Castro Lopo, Kyle van Berendonck
Status:experimental, active development

The Disciplined Disciple Compiler (DDC) is a research compiler used to investigate program transformation in the presence of computational effects. It compiles a family of strict functional core languages and supports region, effect and closure typing. This extra information provides a handle on the operational behaviour of code that isn’t available in other languages. Programs can be written in either a pure/functional or effectful/imperative style, and one of our goals is to provide both styles coherently in the same language.

What is new?

DDC is in an experimental, pre-alpha state, though parts of it do work. In March this year we released DDC 0.4.1, with the following new features:

Further reading

4.4  Ermine

Report by:Edward Kmett
Participants:Dan Doel, Josh Cough, Elliot Stern, Stephen Compall, Runar Oli Bjarnason, Paul Chiusano
Status:actively developed, experimental

Ermine is a Haskell-like programming language, extended with rank-N types, kind and row polymorphism that runs on the JVM designed at McGraw Hill Financial.

The language currently has two implementations, a legacy implementation that was written in Scala, and a newer, more extensible, implementation that is actively being developed in Haskell.

The Scala implementation is designed more or less as a straight interpreter, while the Haskell version is designed to be able to compile down to a smaller, relatively portable core. Neither backend generates Java bytecode directly to avoid leaking “Permgen” space.

In July, we were able to obtain corporate approval to open source the existing Scala-based compiler and the nascent Haskell implementation. The Scala version of the language is being actively used to generate a number of financial reports within the S&P Capital IQ web platform.

An introduction to Ermine has been given at Boston Haskell and at CUFP 2013. Stephen Compall has been putting together a documentation project.

Further reading

5  Haskell and …

5.1  Haskell and Parallelism

5.1.1  Eden

Report by:Rita Loogen
Participants: in Madrid: Yolanda Ortega-Mallén, Mercedes Hidalgo, Lidia Sanchez-Gil, Fernando Rubio, Alberto de la Encina,
in Marburg: Mischa Dieterle, Thomas Horstmeyer, Rita Loogen,
in Copenhagen: Jost Berthold

Eden extends Haskell with a small set of syntactic constructs for explicit process specification and creation. While providing enough control to implement parallel algorithms efficiently, it frees the programmer from the tedious task of managing low-level details by introducing automatic communication (via head-strict lazy lists), synchronization, and process handling.

Eden’s primitive constructs are process abstractions and process instantiations. The Eden logo consists of four λ turned in such a way that they form the Eden instantiation operator (#). Higher-level coordination is achieved by defining skeletons, ranging from a simple parallel map to sophisticated master-worker schemes. They have been used to parallelize a set of non-trivial programs.

Eden’s interface supports a simple definition of arbitrary communication topologies using Remote Data. A PA-monad enables the eager execution of user defined sequences of Parallel Actions in Eden.

Survey and standard reference

Rita Loogen, Yolanda Ortega-Mallén, and Ricardo Peña: Parallel Functional Programming in Eden, Journal of Functional Programming 15(3), 2005, pages 431–475.


Rita Loogen: Eden - Parallel Functional Programming in Haskell, in: V. Zsok, Z. Horvath, and R. Plasmeijer (Eds.): CEFP 2011, Springer LNCS 7241, 2012, pp. 142-206.
(see also:


Eden is implemented by modifications to the Glasgow-Haskell Compiler (extending its runtime system to use multiple communicating instances). Apart from MPI or PVM in cluster environments, Eden supports a shared memory mode on multicore platforms, which uses multiple independent heaps but does not depend on any middleware. Building on this runtime support, the Haskell package edenmodules defines the language, and edenskels provides a library of parallel skeletons.

A new version based on GHC-7.8.2 (including binary packages and prepared source bundles) has been released in April 2014. The new version fixes a number of issues related to error shut-down and recovery, and features extended support for serialising Haskell data structures. Previous stable releases with binary packages and bundles are still available on the Eden web pages.

The source code repository for Eden releases is, the Eden libraries (Haskell-level) are also available via Hackage.

Tools and libraries

The Eden trace viewer tool EdenTV provides a visualisation of Eden program runs on various levels. Activity profiles are produced for processing elements (machines), Eden processes and threads. In addition message transfer can be shown between processes and machines. EdenTV is written in Haskell and is freely available on the Eden web pages and on hackage.

The Eden skeleton library is under constant development. Currently it contains various skeletons for parallel maps, workpools, divide-and-conquer, topologies and many more. Take a look on the Eden pages.

Recent and Forthcoming Publications

Further reading

5.1.2  speculation

Report by:Edward Kmett
Participants:Jake McArthur

This package provides speculative function application and speculative folds based on

Unlike the original paper, we can take advantage of immutability and the spark queue in Haskell to ensure we never worsen the asymptotics of a single-threaded algorithm. Speculative STM transactions take the place of the transactional rollback machinery from the paper.

Further reading

5.2  Haskell and the Web

5.2.1  WAI

Report by:Michael Snoyman
Participants:Greg Weber

The Web Application Interface (WAI) is an interface between Haskell web applications and Haskell web servers. By targeting the WAI, a web framework or web application gets access to multiple deployment platforms. Platforms in use include CGI, the Warp web server, and desktop webkit.

WAI is also a platform for re-using code between web applications and web frameworks through WAI middleware and WAI applications. WAI middleware can inspect and transform a request, for example by automatically gzipping a response or logging a request. The Yesod (→5.2.5) web framework provides the ability to embed arbitrary WAI applications as subsites, making them a part of a larger web application.

By targeting WAI, every web framework can share WAI code instead of wasting effort re-implementing the same functionality. There are also some new web frameworks that take a completely different approach to web development that use WAI, such as webwire (FRP), MFlow (continuation-based) and dingo (GUI). The Scotty (→5.2.9) web framework also continues to be developed, and provides a lighter-weight alternative to Yesod. Other frameworks- whether existing or newcomers- are welcome to take advantage of the existing WAI architecture to focus on the more innovative features of web development.

WAI applications can send a response themselves. For example, wai-app-static is used by Yesod to serve static files. However, one does not need to use a web framework, but can simply build a web application using the WAI interface alone. The Hoogle web service targets WAI directly.

Until now, WAI has always selected some streaming data framework, either enumerator or conduit. Based on the success of the http-client/http-conduit split, the WAI community is going to be removing the streaming data library aspect from WAI in its next release. This will open up the web application realm to people looking to experiment with other streaming data libraries.

Further reading

5.2.2  Warp

Report by:Michael Snoyman

Warp is a high performance, easy to deploy HTTP server backend for WAI (→5.2.1). Since the last HCAR, Warp has switched from enumerators to conduits (→7.1.1), added SSL support, and websockets integration.

Due to the combined use of ByteStrings, blaze-builder, conduit, and GHC’s improved I/O manager, WAI+Warp has consistently proven to be Haskell’s most performant web deployment option.

Warp is actively used to serve up most of the users of WAI (and Yesod).

“Warp: A Haskell Web Server” by Michael Snoyman was published in the May/June 2011 issue of IEEE Internet Computing:

5.2.3  Happstack

Report by:Jeremy Shaw

Happstack is a fast, modern framework for creating web applications. Happstack is well suited for MVC and RESTful development practices. We aim to leverage the unique characteristics of Haskell to create a highly-scalable, robust, and expressive web framework.

Happstack pioneered type-safe Haskell web programming, with the creation of technologies including web-routes (type-safe URLS) and acid-state (native Haskell database system). We also extended the concepts behind formlets, a type-safe form generation and processing library, to allow the separation of the presentation and validation layers.

Some of Happstack’s unique advantages include:

A recent addition to the Happstack family is the happstack-foundation library. It combines what we believe to be the best choices into a nicely integrated solution. happstack-foundation uses:

Future plans

Happstack is the oldest, actively developed Haskell web framework. We are continually studying and applying new ideas to keep Happstack fresh. By the time the next release is complete, we expect very little of the original code will remain. If you have not looked at Happstack in a while, we encourage you to come take a fresh look at what we have done.

Some of the projects we are currently working on include:

One focus of Happstack development is to create independent libraries that can be easily reused. For example, the core web-routes and reform libraries are in no way Happstack specific and can be used with other Haskell web frameworks. Additionally, libraries that used to be bundled with Happstack, such as IxSet, SafeCopy, and acid-state, are now independent libraries. The new backend will also be available as an independent library.

When possible, we prefer to contribute to existing libraries rather than reinvent the wheel. For example, our preferred templating library, HSP, was created by and is still maintained by Niklas Broberg. However, a significant portion of HSP development in the recent years has been fueled by the Happstack team.

We are also working directly with the Fay team to bring an improved type-safety to client-side web programming. In addition to the new happstack-fay integration library, we are also contributing directly to Fay itself.

For more information check out the website — especially the “Happstack Philosophy” and “Happstack 8 Roadmap”.

Further reading

5.2.4  Mighttpd2 — Yet another Web Server

Report by:Kazu Yamamoto
Status:open source, actively developed

Mighttpd (called mighty) version 3 is a simple but practical Web server in Haskell. It provides features to handle static files, redirection, CGI, reverse proxy, reloading configuration files and graceful shutdown. Also TLS is experimentally supported.

Mighttpd 3 is now based on WAI 2.0 or later and uses new warp and new fast-logger. This results in much improvement of its peformance if Mighttpd 3 is compiled by GHC 7.8.2 or later.

You can install Mighttpd 3 (mighttpd2) from HackageDB. Note that the package name is mighttpd2, not mighttpd3, for historical reasons

Further reading

5.2.5  Yesod

Report by:Michael Snoyman
Participants:Greg Weber, Luite Stegeman, Felipe Lessa

Yesod is a traditional MVC RESTful framework. By applying Haskell’s strengths to this paradigm, Yesod helps users create highly scalable web applications.

Performance scalablity comes from the amazing GHC compiler and runtime. GHC provides fast code and built-in evented asynchronous IO.

But Yesod is even more focused on scalable development. The key to achieving this is applying Haskell’s type-safety to an otherwise traditional MVC REST web framework.

Of course type-safety guarantees against typos or the wrong type in a function. But Yesod cranks this up a notch to guarantee common web application errors won’t occur.

When type safety conflicts with programmer productivity, Yesod is not afraid to use Haskell’s most advanced features of Template Haskell and quasi-quoting to provide easier development for its users. In particular, these are used for declarative routing, declarative schemas, and compile-time templates.

MVC stands for model-view-controller. The preferred library for models is Persistent (→7.6.2). Views can be handled by the Shakespeare family of compile-time template languages. This includes Hamlet, which takes the tedium out of HTML. Both of these libraries are optional, and you can use any Haskell alternative. Controllers are invoked through declarative routing and can return different representations of a resource (html, json, etc).

Yesod is broken up into many smaller projects and leverages Wai (→5.2.1) to communicate with the server. This means that many of the powerful features of Yesod can be used in different web development stacks that use WAI such as Scotty (→5.2.9).

The new 1.2 release of Yesod, introduces a number of simplifications, especially to the subsite handling. Most applications should be able to upgrade easily. Some of the notable features are:

Since the 1.0 release, Yesod has maintained a high level of API stability, and we intend to continue this tradition. The 1.2 release introduces a lot of potential code breakage, but most of the required updates should be very straightforward. Future directions for Yesod are now largely driven by community input and patches. We’ve been making progress on the goal of easier client-side interaction, and have high-level interaction with languages like Fay, TypeScript, and CoffeScript.

The Yesod site ( is a great place for information. It has code examples, screencasts, the Yesod blog and — most importantly — a book on Yesod.

To see an example site with source code available, you can view Haskellers (→1.2) source code: (

Further reading

5.2.6  Snap Framework

Report by:Doug Beardsley
Participants:Gregory Collins, Shu-yu Guo, James Sanders, Carl Howells, Shane O’Brien, Ozgun Ataman, Chris Smith, Jurrien Stutterheim, Gabriel Gonzalez, and others
Status:active development

The Snap Framework is a web application framework built from the ground up for speed, reliability, and ease of use. The project’s goal is to be a cohesive high-level platform for web development that leverages the power and expressiveness of Haskell to make building websites quick and easy.

Snap has been continuing to make progress towards the 1.0 release. We now have 100%test coverage in the core API and web server. The Snap community has also been continuing to grow. We’ve seen the introduction of a new package for type safe routing called snap-web-routes. Also a new book on Snap called "Snap for Beginners" was announced.

If you would like to contribute, stop by the #snapframework IRC channel on Freenode to keep up with the latest activity.

Further reading

5.2.7  Sunroof

Report by:Andy Gill
Participants:Jan Bracker

Sunroof is a Domain Specific Language (DSL) for generating JavaScript. It is built on top of the JS-monad, which, like the Haskell IO-monad, allows read and write access to external resources, but specifically JavaScript resources. As such, Sunroof is primarily a feature-rich foreign function API to the browser’s JavaScript engine, and all the browser-specific functionality, like HTML-based rendering, event handling, and drawing to the HTML5 canvas.

Furthermore, Sunroof offers two threading models for building on top of JavaScript, atomic and blocking threads. This allows full access to JavaScript APIs, but using Haskell concurrency abstractions, like MVars and Channels. In combination with the push mechanism Kansas-Comet, Sunroof offers a great platform to build interactive web applications, giving the ability to interleave Haskell and JavaScript computations with each other as needed.

It has successfully been used to write smaller applications. These applications range from 2D rendering using the HTML5 canvas element, over small GUIs, up to executing the QuickCheck tests of Sunroof and displaying the results in a neat fashion. The development has been active over the past 6 months and there is a drafted paper submitted to TFP 2013.

Further reading

5.2.8  MFlow

Report by:Alberto Gomez Corona
Status:active development

MFlow is an innovative Web framework of the kind of other functional, stateful frameworks like WASH, Seaside, Ocsigen or Racket. MFlow does not use continuation passing, but a backtracking monad that permits the synchronization of browser and server and error tracing. This monad is on top of another “Workflow” monad that adds effects for logging and recovery of process/session state. In addition, MFlow is RESTful. Any GET page in the flow can be pointed to with a REST URL. The navigation as well as the page results are type safe. It also implements monadic formlets: They can have their own flow within a page.

MFlow hides the heterogeneous elements of a web application and expose a clear, modular, type safe DSL of applicative and monadic combinators to create from multipage to single page applications. These combinators, called widgets or enhanced formlets, pack together javascript, HTML, CSS and the server code. [1]

A paper describing the MFlow internals has been published in The Monad Reader issue 23 [2]

In adition to templates editable at runtime, container widgets, ajax refreshed widgets, push and execution traces, MFlow now incorporates web services by programming the page monad as the combination of a parser and a writer without additional ad-hoc constructions . That is described in the TMR paper [2]

Additionally a ”lazy” modifier has been added. It delay the load of the widget when it becomes visible in the window.

Composable caching is one benefit of deep integration. It permits HTTP caching even in the context of highly interactive applications. Some examples have been added to the demo site (see below).

The power of a monad with backtracking to solve ”the integration problem”. It happens when the loose coupling produce exceptional conditions that may trigger the rollback of actions in the context of long running processes. That has been demonstrated using MFlow in [3].

A web application can be considered as an special case of integration. MFlow pack the elements of a web aplication within composable widgets. This ”deep integration” is the path followed by the software industry to create from higher level framewors to operating systems [4]

Future work:

The exploration of the formlets/widgets running in pure javascript in the browser. Pure javascript formlets, compiled using a Haskell-Javascript translator would solve the callback hell in the browser, and would make dynamic programming in javascript much more intuitive and in a continuum with server programming. widgets in the server can run in the client when no object in the server is necessary by means of a modifier with the appropriate signature.

Further reading

There is a site, made using MFlow, which includes demos at:

5.2.9  Scotty

Report by:Andrew Farmer
Participants:Andrew Farmer

Scotty is a Haskell web framework inspired by Ruby’s Sinatra, using WAI (→5.2.1) and Warp (→5.2.2), and is designed to be a cheap and cheerful way to write RESTful, declarative web applications.

The goal of Scotty is to enable the development of simple HTTP/JSON interfaces to Haskell applications. Implemented as a monad transformer stack, Scotty applications can be embedded in arbitrary MonadIOs. The Scotty API is minimal, and fully documented via haddock. The API has recently remained stable, with a steady stream of improvements contributed by the community.

Further reading

5.3  Haskell and Compiler Writing

5.3.1  MateVM

Report by:Bernhard Urban
Participants:Harald Steinlechner
Status:active development

MateVM is a method-based Java Just-In-Time Compiler. That is, it compiles a method to native code on demand (i.e. on the first invocation of a method). We use existing libraries:

for proccessing Java Classfiles according to The Java Virtual Machine Specification.
enables runtime code generation for i686 machines in Haskell, in a domain specific language style.
We think that Haskell is suitable for compiler challenges, as already many times proven. However, we have to jump between “Haskell world” and “native code world”, due to the requirements of a Just-In-Time Compiler. This poses some special challenges when it comes to signal handling and other interesing rather low level operations. Not immediately visible, the task turns out to be well suited for Haskell although we experienced some tensions with signal handling and GHCi. We are looking forward to sharing our experience on this.

In the current state we are able to execute simple Java programs. The compiler eliminates the JavaVM stack via abstract interpretation, does a liveness analysis, linear scan register allocation and finally code emission. The architecture enables easy addition of further optimization passes on an intermediate representation.

Future plans are, to add an interpreter to gather profile information for the compiler and also do more aggressive optimizations (e.g. method inlining or stack allocation) , using the interpreter as fallback path via deoptimization if a assumption is violated.

Apart from that, many features are missing for a full JavaVM, most noteable are the concept of Classloaders, Floating Point or Threads. We would like to use GNU Classpath as base library some day. Other hot topics are Hoopl and Garbage Collection.

If you are interested in this project, do not hesitate to join us on IRC (#MateVM @ OFTC) or contact us on Github.

Further reading

5.3.2  UUAG

Report by:Jeroen Bransen
Participants:ST Group of Utrecht University
Status:stable, maintained

UUAG is the Utrecht University Attribute Grammar system. It is a preprocessor for Haskell that makes it easy to write catamorphisms, i.e., functions that do to any data type what foldr does to lists. Tree walks are defined using the intuitive concepts of inherited and synthesized attributes, while keeping the full expressive power of Haskell. The generated tree walks are efficient in both space and time.

An AG program is a collection of rules, which are pure Haskell functions between attributes. Idiomatic tree computations are neatly expressed in terms of copy, default, and collection rules. Attributes themselves can masquerade as subtrees and be analyzed accordingly (higher-order attribute). The order in which to visit the tree is derived automatically from the attribute computations. The tree walk is a single traversal from the perspective of the programmer.

Nonterminals (data types), productions (data constructors), attributes, and rules for attributes can be specified separately, and are woven and ordered automatically. These aspect-oriented programming features make AGs convenient to use in large projects.

The system is in use by a variety of large and small projects, such as the Utrecht Haskell Compiler UHC (→3.3), the editor Proxima for structured documents (, the Helium compiler (, the Generic Haskell compiler, UUAG itself, and many master student projects. The current version is (May 2014), is extensively tested, and is available on Hackage. There is also a Cabal plugin for easy use of AG files in Haskell projects.

We are currently working on the following enhancements:

Evaluation scheduling.
We are running a project to improve the scheduling algorithms for AGs. The currently implemented algorithms for scheduling AG computations do not fully satisfy our needs; the code we write goes beyond the class of OAGs, but the algorithm by Kennedy and Warren (1976) results in an undesired increase of generated code due to non-linear evaluation orders. However, because we know that our code belongs to the class of linear orderable AGs, we would like to find and algorithm that can find this linear order, and thus lies in between the two existing approaches. We have created a backtracking algorithm for this and are currently implementing this in the UUAG.

Another approach to this scheduling problem that we are currently investigating is the use of SAT-solvers. The scheduling problem can be reduced to a SAT-formula and efficiently solved by existing solvers. The advantage is that this opens up possibilities for the user to influence the resulting schedule, for example by providing a cost-function that should be minimized. This is also ongoing research but the first results in this area look promising.

Incremental evaluation.
We are currently also running a Ph.D. project that investigates incremental evaluation of AGs. In this ongoing work we hope to improve the UUAG compiler by adding support for incremental evaluation, for example by statically generating different evaluation orders based on changes in the input.

Further reading

5.3.3  LQPL — A Quantum Programming Language Compiler and Emulator

Report by:Brett G. Giles
Participants:Dr. J.R.B. Cockett
Status:v 0.9.1 experimental released in November 2013

LQPL (Linear Quantum Programming Language) is a functional quantum programming language inspired by Peter Selinger’s paper “Towards a Quantum Programming Language”.

The LQPL system consists of a compiler, a GUI based front end and an emulator. LQPL incorporates a simple module / include system (more like C’s include than Haskell’s import), predefined unitary transforms, quantum control and classical control, algebraic data types, and operations on purely classical data.

Starting with the 0.9 series, LQPL is now split into separate components:

Version 0.9.1 was a bugfix release.

A screenshot of the interface (showing a probabilistic list) is included below.

Quantum programming allows us to provide a fair coin toss:

qdata Coin      = {Heads | Tails}
toss ::( ; c:Coin) =
{  q = |0>;     Had q;
   measure q of      |0> => {c = Heads}
                     |1> => {c = Tails}
This allows programming of probabilistic algorithms, such as leader election.

The next major items on the road map are:

Further reading

Documentation and executable downloads may be found at The source code, along with a wiki and bug tracker, is available at

5.3.4  free — Free Monads

Report by:Edward Kmett
Participants:Gabriel Gonzalez, Aristid Breitkreuz, Nickolay Kudasov, Ben Gamari, Matvey Aksenov, Mihaly Barasz, Twan van Laarhoven
Status:actively developed

This package provides common definitions for working with free monads and free applicatives. These are very useful when it comes to defining EDSLs.

This package also supports cofree comonads, which are useful for tracking attributes through a syntax tree.

Recently support was added for the free completely-iterative monad of a monad as well. This can be used as part of a scheme to deamortize calculations in the |ST s| monad.

Further reading

5.3.5  bound — Making De Bruijn Succ Less

Report by:Edward Kmett
Participants:Nicolas Pouillard, Jean-Philippe Bernardy, Andrea Vezzosi, Gabor Greif, Matvey B. Aksenov
Status:actively developed

This library provides convenient combinators for working with “locally-nameless” terms. These can be useful when writing a type checker, evaluator, parser, or pretty printer for terms that contain binders like forall or lambda, as they ease the task of avoiding variable capture and testing for alpha-equivalence.

Notably, it uses a representation based on type-safe generalized De Bruijn indices that lets you naturally make your expression type into a |Monad| that permits capture-avoiding substitution, and the use of |Foldable|’s |toList| and |Traversable|’s |traverse| to find free variables. This makes it much easier to manipulate your syntax tree with tools you already know how to use, while still safely avoiding issues with name capture.

The generalized De Bruijn encoding permits asymptotic improvement in the running time of many calculations, enabling simultaneous substitution of everything within a complex binder, O(1) lifting, and avoiding paying for the traversal of lifted trees, but the complexity of the encoding is hidden behind a monad transformer that provides you with variable capture.

Further reading

6  Development Tools

6.1  Environments

6.1.1  Haskell IDE From FP Complete

Report by:Michael Snoyman
Status:available, stable

This past September, FP Complete officially launched the world’s first commercial Haskell IDE and Development Platform, FP Haskell Center. The IDE includes a Haskell compiler and a continually updated set of vetted, tested and supported libraries and code templates. There is no need to run Cabal or other installers to use it.

Key features include:

FP Complete started this project by researching existing solutions to determine what to include in the IDE. They looked at Haskell editor extensions, especially Vim and Emacs, and at existing Haskell IDEs like Eclipse FP, Leksah, and Yi as well as looking at what supporting functionality was readily available: the GHC API, Hoogle, Haddock, Hlint, and many others. From there, FP Complete focused on creating an intuitive interface to make programing within the IDE a seamless experience. To ensure FP Haskell Center is meeting the demands of the Haskell community, FP complete is constantly seeking feedback and suggestions from users and the Haskell community.

Based on the Beta period and the two months the IDE has officially been on the market, the feedback and activity on the IDE has been very positive. One Beta user, Armando Blancas, a Tools Engineer at Carrier IQ, Inc., commented, “My first impression of FP Haskell IDE is it has a well-designed and polished user interface that feels very intuitive and easy to explore. As a user, I like having things done for me. For example within the IDE, the platform is just there, auto-save, auto-compile, and a push-button program execution lets me just get on with my work.

Three levels of subscription are available. The first is the commercial Haskell platform, FP Haskell Center – Professional. The second is FP Haskell Center – Personal, which is designed for non-commercial programmers. Lastly, there is a free academic version for all current students and professors.

Further reading

6.1.2  EclipseFP

Report by:JP Moresmau
Participants:building on code from Alejandro Serrano Mena, Thomas ten Cate, B. Scott Michel, Thiago Arrais, Leif Frenzel, Martijn Schrage, Adam Foltzer and others
Status:stable, maintained, and actively developed

EclipseFP is a set of Eclipse plugins to allow working on Haskell code projects. Its goal is to offer a fully featured Haskell IDE in a platform developers coming from other languages may already be familiar with. It provides the following features, among others:

Cabal Integration

Provides a .cabal file editor, uses Cabal settings for compilation, allows the user to install Cabal packages from within the IDE. Can also use cabal-dev to provide sandboxing and project dependencies inside an Eclipse workspace.
GHC Integration

Compilation is done via the GHC API, syntax coloring uses the GHC Lexer.
Productive Coding

Quick fixes for common errors, warnings, and HLint suggestions. Automatic organization of imports. Autocompletion. Find and rename across modules and projects. Stylish-haskell integration for consistent code formatting.

Easy to launch GHCi sessions on any module with proper parameters. Manages breakpoints, the evaluation of variables and expressions uses the Eclipse debugging framework, and requires no knowledge of GHCi syntax. Also integrates with Yesod (launch the web application from EclipseFP). Running a program with profiling options results in profiling graphs being displayed in the UI for easy analysis.

The Haskell Browser perspective allows the user to navigate the list of packages and their documentation. It integrates seamlessly with Hackage. The Haskell module editor provides code folding, outline view of the module, popup of types and documentation mouse hovers, etc.

EclipseFP integrates with Haskell test frameworks, most notably HTF, to provide UI feedback on test failures.

The source code is fully open source (Eclipse License) on github and anyone can contribute. Current version is 2.5.6, released in December 2013, and more versions with additional features are planned and actively worked on. Most notably, version 2.6 should include support for Cabal 1.18 sandboxes. Feedback on what is needed is welcome! The website has information on downloading binary releases and getting a copy of the source code. Support and bug tracking is handled through Sourceforge forums and github issues. We welcome contributors!

Further reading

6.1.3  Ariadne

Report by:Roman Cheplyaka
Participants:Oleksandr Manzyuk
Status:early development

Ariadne is a new tool to provide the go-to-definition functionality for Haskell code. It is designed as a server which responds to queries from IDEs and text editor plugins.

Editor plugins are available for vim and emacs. We are looking forward to more editors and IDEs getting Ariadne support.

The server uses the haskell-names name resolution library (→7.3.5). So it is fully Haskell-aware and can properly locate prefixed names (such as |T.head|) and locally bound names, which makes it much smarter than TAGS.

Some of the future work directions are:

Further reading

6.1.4  ghc-mod — Happy Haskell Programming

Report by:Kazu Yamamoto
Status:open source, actively developed

ghc-mod is a package to enrich Haskell programming on editors including Emacs, Vim and Sublime. The ghc-mod package on Hackage includes the ghc-mod command, new ghc-modi command and Emacs front-end.

Emacs front-end provides the following features:

You can complete a name of keyword, module, class, function, types, language extensions, etc.

Code template
You can insert a code template according to the position of the cursor. For instance, import Foo (bar) is inserted if bar is missing.

Syntax check
Code lines with error messages are automatically highlighted. You can display the error message of the current line in another window. hlint can be used instead of GHC to check Haskell syntax.

Document browsing
You can browse the module document of the current line either locally or on Hackage.

Expression type
You can display the type/information of the expression on the cursor.

There are two Vim plugins:

Here are new features:

Further reading

6.1.5  HaRe — The Haskell Refactorer

Report by:Alan Zimmerman
Participants:Francisco Soares, Chris Brown, Stephen Adams, Huiqing Li

Refactorings are source-to-source program transformations which change program structure and organization, but not program functionality. Documented in catalogs and supported by tools, refactoring provides the means to adapt and improve the design of existing code, and has thus enabled the trend towards modern agile software development processes.

Our project, Refactoring Functional Programs, has as its major goal to build a tool to support refactorings in Haskell. The HaRe tool is now in its seventh major release. HaRe supports full Haskell 2010, and is integrated with (X)Emacs. All the refactorings that HaRe supports, including renaming, scope change, generalization and a number of others, are module-aware, so that a change will be reflected in all the modules in a project, rather than just in the module where the change is initiated.

Snapshots of HaRe are available from our GitHub repository (see below) and Hackage. There are related presentations and publications from the group (including LDTA’05, TFP’05, SCAM’06, PEPM’08, PEPM’10, TFP’10, Huiqing’s PhD thesis and Chris’s PhD thesis). The final report for the project appears on the University of Kent Refactoring Functional Programs page (see below).

There is also a Google+ community called HaRe, and an IRC channel on freenode called #haskell-refactorer.

Recent developments

Further reading

6.1.6  IHaskell: Haskell for Interactive Computing

Report by:Andrew Gibiansky
Status:very alpha (but usable!)

IHaskell is an interactive interface for Haskell development, designed with the goal of replacing GHCi in some contexts. In addition to a simple REPL, it provides a notebook interface (in the style of Mathematica or Maple). The notebook interface runs in a browser and provides the user with editable cells in which they can create and execute code. The output of this code is displayed in a rich format right below, and if it’s not quite right, the user can go back, edit the cell, and re-execute. This rich format defaults to the same boring plain-text output as GHCi would give you; however, library authors will be able to define their own formats for displaying their data structures in a useful way, with the only limit being that the display output must be viewable in a browser (images, HTML, CSS, Javascript). For instance, integration with graphing libraries could produce in-browser data visualizations, while integration with Aeson’s JSON could produce a syntax-highlighted JSON output for complex data structures.

Implementation-wise, IHaskell is a language kernel backend for the project known as IPython. Although it has the name “Python” in the name, IPython provides a language-agnostic protocol by which interactive code environments such as REPLs and notebooks can communicate with a language evaluator backend. IHaskell is a language kernel which uses ZeroMQ to communicate with IPython frontends and the GHC API to evaluate code.

Although IHaskell is in very early stages, the future looks incredibly bright. Integration with popular Haskell libraries can give us beautiful and potentially interactive visualizations of Haskell data structures. On one hand, this could range from simple things such as foldable record structures — imagine being able to explore complex nested records by folding and unfolding bits and pieces at a time, instead of trying to mentally parse them from the GHCi output. On the other end, we could have interactive outputs, such as Parsec parsers which generate small input boxes that run the parser on any input they’re given. And these things are just the beginning — tight integration with IPython may eventually be able to provide things such as code-folding in your REPL or an integrated debugger interface.

If this sounds good to you: contribute! We’re in dire need of developers to make this beautiful dream a reality, and I would be happy to help you get up to speed quickly.

Further reading

6.2  Code Management

6.2.1  Darcs

Report by:Eric Kow
Participants:darcs-users list
Status:active development

Darcs is a distributed revision control system written in Haskell. In Darcs, every copy of your source code is a full repository, which allows for full operation in a disconnected environment, and also allows anyone with read access to a Darcs repository to easily create their own branch and modify it with the full power of Darcs’ revision control. Darcs is based on an underlying theory of patches, which allows for safe reordering and merging of patches even in complex scenarios. For all its power, Darcs remains a very easy to use tool for every day use because it follows the principle of keeping simple things simple.

Our most recent release, Darcs 2.8.4 (with GHC 7.6 support), was in Februrary 2013. Some key changes in Darcs 2.8 include a faster and more readable darcs annotate, a darcs obliterate -O which can be used to conveniently “stash” patches, and hunk editing for the darcs revert command.

Our work on the next Darcs release continues. In our sights are the new ‘darcs rebase‘ command (for merging and amending patches that would be hard to do with patch theory alone), the patch index optimisation (for faster local lookups on repositories with long histories), and the packs optimisation (for faster darcs get).

This summer, we will be participating in the Google Summer of Code with two exciting new projects:

Marcio Diaz will be helping us to make better use of our hashed file storage mechanism. His work will start with long term performance improvements (garbage collection mechanism, bucketed local cache) and move on to new some new darcs undelete and undo operations that will bring us even closer to the dream of universal undoability.

Ale Gadea will be looking how we can squeeze more performance and usability out of Darcs’s patch reordering mechanism. He will speed up the ‘darcs optimize –reorder‘ command used to tidy up repository, and move on to a big usabaility improvement for darcs send, using minimal contexts to ensure that patch bundles can always be applied in repositories that could theoretically accept them. Finally, he will investigate one of our long standing wishes for a patch dependency graph mechanism.

Darcs is free software licensed under the GNU GPL (version 2 or greater). Darcs is a proud member of the Software Freedom Conservancy, a US tax-exempt 501(c)(3) organization. We accept donations at

Further reading

6.2.2  DarcsWatch

Report by:Joachim Breitner

DarcsWatch is a tool to track the state of Darcs (→6.2.1) patches that have been submitted to some project, usually by using the darcs send command. It allows both submitters and project maintainers to get an overview of patches that have been submitted but not yet applied.

DarcsWatch continues to be used by the xmonad project, the Darcs project itself, and a few developers. At the time of writing (April 2014), it was tracking 39 repositories and 4620 patches submitted by 254 users.

Further reading

6.2.3  cab — A Maintenance Command of Haskell Cabal Packages

Report by:Kazu Yamamoto
Status:open source, actively developed

cab is a MacPorts-like maintenance command of Haskell cabal packages. Some parts of this program are a wrapper to ghc-pkg and cabal.

If you are always confused due to inconsistency of ghc-pkg and cabal, or if you want a way to check all outdated packages, or if you want a way to remove outdated packages recursively, this command helps you.

cab delete now actually removes a package and its documentation as well as unregistering the package.

Further reading

6.3  Interfacing to other Languages

6.3.1  java-bridge

Report by:Julian Fleischer
Status:active development

The Java Bridge is a library for interfacing the Java Virtual Machine with Haskell code and vice versa. It comes with a rich DSL for discovering and invoking Java methods and allows to set up callbacks into the Haskell runtime. If exported via the FFI it is also possible to use Haskell libraries from within the JVM natively.

The package also offers a bindings generator which translates the API of a Java class or package into a Haskell API. Using the bindings generator it is possible to generate a Haskell module with a clean Haskell API that invokes Java behind the scenes. Typical conversions, for example byte arrays to lists or Java maps to lists of key value pairs, are taken care of. The generated bindings and predefined conversions are extensible by defining appropriate type class instances accordingly.

While the documentation for the bindings generator still needs improvement, the overall library is in a quite usable state.

The java bridge is published under the MIT license and available via hackage as java-bridge.

Further reading

If you want to know more about the inner workings: The Java Bridge has been created as part of a bachelor thesis which you can access at

6.3.2  fficxx

Report by:Ian-Woo Kim
Participants:Ryan Feng
Status:Actively Developing

fficxx (“eff fix”) is an automatic haskell Foreign Function Interface (FFI) generator to C++. While haskell has a well-specified standard for C FFI, interfacing C++ library to haskell is notoriously hard. The goal of fficxx is to ease making haskell-C++ binding and to provide relatively nice mapping between two completely different programming paradigms.

To make a C++ binding, one write a haskell model of the C++ public interfaces, and then fficxx automatically generates necessary boilerplate codes in several levels: C++-C shims, C-haskell FFI, low level haskell type representation for C++ class/object and high level haskell type and typeclass representation and some casting functions. The generated codes are organized into proper haskell modules to minimize name space collision and packaged up as cabal packages.

The tool is designed to adapt different configurations and unique needs, such as splitting bindings into multiple cabal packages and renaming classes and functions to resolve some obstacles that are originated from naming collision, which is quite inevitable in making an FFI library.

The information of a C++ library can be written in terms of simple haskell expressions, aiming at good usability for ordinary haskell users. For example, if we have a C++ library which has the following interface:

class A {
  virtual void Foo();
class B : public A {
  virtual void Bar();
one provide the model in terms of haskell data type defined in fficxx library:
a = myclass "A" [] mempty Nothing
    [ Constructor [] Nothing
    , Virtual void_ "Foo" [ ] Nothing ]
b = myclass "B" [a] mempty Nothing
    [ Constructor [] Nothing
    , Virtual void_ "Bar" [] Nothing ] 

One of the projects that successfully uses fficxx is HROOT which is a haskell binding to the ROOT library. ROOT is a big C++ histogramming and statistical analysis framework. Due to fficxx, the HROOT package faithfully reflects the ROOT C++ class hierarchy, and the user from C++ can use the package relatively easily.

fficxx is available on hackage and being developed on the author’s github ( In 2013, with Ryan Feng, we tried to make fficxx more modernized with more transparent support of various C/C++ data types, including consistent multiple pointer/reference operations and function pointers. fficxx is still being in progress in incorporating the new pointer operations. C++ template support is now planned.

Further reading

6.4  Deployment

6.4.1  Cabal and Hackage

Report by:Duncan Coutts


Cabal is the standard packaging system for Haskell software. It specifies a standard way in which Haskell libraries and applications can be packaged so that it is easy for consumers to use them, or re-package them, regardless of the Haskell implementation or installation platform.

Hackage is a distribution point for Cabal packages. It is an online archive of Cabal packages which can be used via the website and client-side software such as cabal-install. Hackage enables users to find, browse and download Cabal packages, plus view their API documentation.

cabal-install is the command line interface for the Cabal and Hackage system. It provides a command line program cabal which has sub-commands for installing and managing Haskell packages.

Recent progress

The Cabal packaging system has always faced growing pains. We have been through several cycles where we’ve faced chronic problems, made major improvements which bought us a year or two’s breathing space while package authors and users become ever more ambitious and start to bump up against the limits again. In the last few years we have gone from a situation where 10 dependencies might be considered a lot, to a situation now where the major web frameworks have a 100+ dependencies and we are again facing chronic problems.

The Cabal/Hackage maintainers and contributors have been pursuing a number of projects to address these problems:

The IHG sponsored Well-Typed (→8.1) to work on cabal-install resulting in a new package dependency constraint solver. This was incorporated into the cabal-install-0.14 release in the spring, and which is now in the latest Haskell Platform release. The new dependency solver does a much better job of finding install plans. In addition the cabal-install tool now warns when installing new packages would break existing packages, which is a useful partial solution to the problem of breaking packages.

We had two Google Summer of Code projects on Cabal this year, focusing on solutions to other aspects of our current problems. The first is a project by Mikhail Glushenkov (and supervised by Johan Tibell) to incorporate sandboxing into cabal-install. In this context sandboxing means that we can have independent sets of installed packages for different projects. This goes a long way towards alleviating the problem of different projects needing incompatible versions of common dependencies. There are several existing tools, most notably cabal-dev, that provide some sandboxing facility. Mikhail’s project was to take some of the experience from these existing tools (most of which are implemented as wrappers around the cabal-install program) and to implement the same general idea, but properly integrated into cabal-install itself. We expect the results of this project will be incorporated into a cabal-install release within the next few months.

The other Google Summer of Code project this year, by Philipp Schuster (and supervised by Andres Löh), is also aimed at the same problem: that of different packages needing inconsistent versions of the same common dependencies, or equivalently the current problem that installing new packages can break existing installed packages. The solution is to take ideas from the Nix package manager for a persistent non-destructive package store. In particular it lifts an obscure-sounding but critical limitation: that of being able to install multiple instances of the same version of a package, built against different versions of their dependencies. This is a big long-term project. We have been making steps towards it for several years now. Philipp’s project has made another big step, but there’s still more work before it is ready to incorporate into ghc, ghc-pkg and cabal.

Looking forward

Johan Tibell and Bryan O’Sullivan have volunteered as new release managers for Cabal. Bryan moved all the tickets from our previous trac instance into github, allowing us to move all the code to github. Johan managed the latest release and has been helping with managing the inflow of patches. Our hope is that these changes will increase the amount of contributions and give us more maintainer time for reviewing and integrating those contributions. Initial indications are positive. Now is a good time to get involved.

The IHG is currently sponsoring Well-Typed to work on getting the new Hackage server ready for switchover, and helping to make the switchover actually happen. We have recruited a few volunteer administrators for the new site. The remaining work is mundane but important tasks like making sure all the old data can be imported, and making sure the data backup system is comprehensive. Initially the new site will have just a few extra features compared to the old one. Once we get past the deployment hurdle we hope to start getting more contributions for new features. The code is structured so that features can be developed relatively independently, and we intend to follow Cabal and move the code to github.

We would like to encourage people considering contributing to take a look at the bug tracker on github, take part in discussions on tickets and pull requests, or submit their own. The bug tracker is reasonably well maintained and it should be relatively clear to new contributors what is in need of attention and which tasks are considered relatively easy. For more in-depth discussion there is also the cabal-devel mailing list.

Further reading

6.4.2  Stackage: the Library Dependency Solution

Report by:Michael Snoyman

Stackage is a project that began in November 2012 with the mission of making it possible to build stable, vetted sets of packages. The overall goal was to make the Cabal (→6.4.1) experience better. A year into the project it’s exciting to share there has been a lot of activity by FP Complete and greater Haskell community to make Stackage a success. The contributions have been amazing, with a huge number of package authors signing up to contribute and maintain their packages on Stackage.

Through Stackage, FP Complete monitors the package upload logs and signals alerts when a new uploader uploads a package for the first time. For example, if Alice uploads the package |alice-package|, and Bob uploads a new version a few days later, Stackage will get a warning and contact Alice. Internally, FP Complete won’t build any new library sets until the problem has been resolved.

Each time FP Complete performs a Stackage build, test suites are automatically run, which has uncovered a number of regressions in upstream packages. These reports are filed upstream as soon as possible, and due to the wonderful nature of the Haskell community, bugs tend to be fixed very quickly. As the FP Haskell Center user base grows, more bug reports are coming from users. FP Complete is working with upstream providers to get these bugs triaged and fixed. As part of our stable library mission, FP Complete has the infrastructure in place to maintain patchsets against older versions of packages, to simplify the task of backporting fixes.

Since Stackage started, notifications for outdated dependencies have drastically decreased. This is a sign the Haskell ecosystem is beginning to stabilize. Previously, it was to be expected that breaking releases would happen on a regular basis, but Stackage is changing that. To date, users have contributed roughly 200 separate packages to the Stackage package collection. When all of the deep dependencies of these packages are included, FP Complete is currently building about 480 total packages in a full Stackage build, or roughly 9%of all Hackage packages. This is great news for anyone using Stackage directly to build a package database, as they gain direct access to a huge number of the most popular Haskell packages, without worries of compatibility.

As part of regular Stackage maintenance, three separate daily Stackage builds are maintained, one using the most recent Haskell Platform, one using the previous release, and one using vanilla GHC 7.4 (no Haskell Platform constraints). Every day, these jobs run, try to compile all of these packages, and run the full set of test suites. The process has found a large number of simple compilation issues, overly restrictive cabal version bounds, and a number of actual bugs. Stackage is living up to its goal of helping maintainers raise the quality of their code.

This is an excellent opportunity for the Haskell community to get involved! If you’ve written some code that you’re actively maintaining, get it in Stackage. You’ll be widening the potential audience of users for your code by getting your package into FP Haskell Center, and you’ll get some helpful feedback from the automated builds so that users can more reliably build your code.

Further reading

6.4.3  standalone-haddock

Report by:Roman Cheplyaka

standalone-haddock solves the problem of publishing haddock documentation on the web.

When you simply run cabal haddock, the resulting HTML documentation contains hyperlinks to other packages on your system. As a result, you cannot publish it on the internet (well, you can, but the links will be broken).

standalone-haddock takes several packages for which you want to publish documentation. It generates documentation for them with proper links:

Thus the resulting directory with HTML files is relocatable and publishable.

Further reading

6.5  Others

6.5.1  lhs2TeX

Report by:Andres Löh
Status:stable, maintained

This tool by Ralf Hinze and Andres Löh is a preprocessor that transforms literate Haskell or Agda code into LaTeX documents. The output is highly customizable by means of formatting directives that are interpreted by lhs2TeX. Other directives allow the selective inclusion of program fragments, so that multiple versions of a program and/or document can be produced from a common source. The input is parsed using a liberal parser that can interpret many languages with a Haskell-like syntax.

The program is stable and can take on large documents.

The current version is 1.18 and has been released in September 2012. Development repository and bug tracker are on GitHub. There are still plans for a rewrite of lhs2TeX with the goal of cleaning up the internals and making the functionality of lhs2TeX available as a library.

Further reading

6.5.2  ghc-heap-view

Report by:Joachim Breitner
Participants:Dennis Felsing
Status:active development

The library ghc-heap-view provides means to inspect the GHC’s heap and analyze the actual layout of Haskell objects in memory. This allows you to investigate memory consumption, sharing and lazy evaluation.

This means that the actual layout of Haskell objects in memory can be analyzed. You can investigate sharing as well as lazy evaluation using ghc-heap-view.

The package also provides the GHCi command :printHeap, which is similar to the debuggers’ :print command but is able to show more closures and their sharing behaviour:

> let x = cycle [True, False]
> :printHeap x
> head x
> :printHeap x
let x1 = True : _thunk x1 [False]
in x1
> take 3 x
> :printHeap x
let x1 = True : False : x1
in x1

The graphical tool ghc-vis (→6.5.3) builds on ghc-heap-view.

Further reading

6.5.3  ghc-vis

Report by:Dennis Felsing
Participants:Joachim Breitner
Status:active development

The tool ghc-vis visualizes live Haskell data structures in GHCi. Since it does not force the evaluation of the values under inspection it is possible to see Haskell’s lazy evaluation and sharing in action while you interact with the data.

Ghc-vis supports two styles: A linear rendering similar to GHCi’s :print, and a graph-based view where closures in memory are nodes and pointers between them are edges. In the following GHCi session a partially evaluated list of fibonacci numbers is visualized:

> let f = 0 : 1 : zipWith (+) f (tail f)
> f !! 2
> :view f

At this point the visualization can be used interactively: To evaluate a thunk, simply click on it and immediately see the effects. You can even evaluate thunks which are normally not reachable by regular Haskell code.

Ghc-vis can also be used as a library and in combination with GHCi’s debugger.

Further reading

6.5.4  Hat — the Haskell Tracer

Report by:Olaf Chitil

Hat is a source-level tracer for Haskell. Hat gives access to detailed, otherwise invisible information about a computation.

Hat helps locating errors in programs. Furthermore, it is useful for understanding how a (correct) program works, especially for teaching and program maintenance. Hat is not a time or space profiler. Hat can be used for programs that terminate normally, that terminate with an error message or that terminate when interrupted by the programmer.

Tracing a program with Hat consists of two phases: First the program needs to be run such that it additionally writes a trace to file. To add trace-writing, hat-trans translates all the source modules Module of a Haskell program into tracing versions Hat.Module. These are compiled as normal and when run the program does exactly the same as the original program except for additionally writing a trace to file. Second, after the program has terminated, you view the trace with a tool. Hat comes with several tools for selectively viewing fragments of the trace in different ways: hat-observe for Hood-like observations, hat-trail for exploring a computation backwards, hat-explore for freely stepping through a computation, hat-detect for algorithmic debugging, …

Hat is distributed as a package on Hackage that contains all Hat tools and tracing versions of standard libraries. Currently Hat supports Haskell 98 plus some language extensions such as multi-parameter type classes and functional dependencies. For portability all viewing tools have a textual interface; however, many tools use some Unix-specific features and thus run on Unix / Linux / OS X, but not on Windows.

Hat was mostly built around 2000–2004 and then disappeared because of lack of maintenance. Now it is back and new developments have started.

The source-to-source transformation of hat-trans has been completely rewritten to use the haskell-src-exts parser. Thus small bugs of the old parser disappeared and in the future it will be easier to cover more Haskell language extensions. This work was released on Hackage as Hat 2.8.

When a traced program uses any libraries besides the standard Haskell 98 / 2010 ones, these libraries currently have to be transformed (in trusted mode). So the plan for the next release of Hat is to enable Hat to use trusted libraries without having to transform them.

Feedback on Hat is welcome.

Further reading

6.5.5  Tasty

Report by:Roman Cheplyaka
Participants:Oliver Charles, Danny Navarro and others
Status:active development; in use

Tasty is a new testing framework for Haskell that is quickly gaining popularity in the Haskell community. As of April 2014, 8 months after the initial release, it has 88 reverse dependencies on hackage, of which 76 are packages using tasty for their tests, and 12 are tasty add-on packages.

Its main selling points are:

Tasty doesn’t force you to commit to any particular testing methodology (such as BDD); it should be possible to use any methodology with tasty, as well as simply write tests without any methodology.
Whether you want to implement a new way to write tests, or a new way to run tests, it should be possible with tasty.
Tasty is easy to use and Just Works
One of the most common use cases is simply to organize multiple unit tests into a single test suite, which is as simple as
import Test.Tasty
import Test.Tasty.HUnit
main =
  defaultMain $
    testGroup "Unit tests"
      [ testCase "Addition" $
          1 + 2 @?= 3
      , testCase "List indexing" $
          [1,2,3] !! 1 @?= 2
      , testCase "Power" $
          assertBool "2^40 is positive" $
            (2^40 :: Int) > 0

If you compile and run the above program, you’ll see the following output, nicely colored:

Unit tests
  Addition:      OK
  List indexing: OK
  Power:         FAIL
    2^40 is positive
1 out of 3 tests failed

Tasty add-on packages generally fall into one of the two categories: ones that add new kinds of tests (“providers”), and ones that add new ways to run the test suite (“ingredients”).

The existing providers let you embed unit tests, golden tests, quickcheck and smallcheck properties into your test suite.

The existing ingredients let you manage golden tests, produce test results in HTML and XML formats, re-run only tests that failed during the last run, and more.

Tasty itself can acquire and release shared resources for groups of tests, run tests in parallel, include or exclude tests by name using patterns, apply timeouts to individual tests, and has several console running modes (normal, hide successes, and quiet).

Tasty also has become more social: we now have a mailing list and an IRC channel (#tasty on FreeNode), where you can get help with tasty.

Further reading

For more information about tasty and how to use it, please consult the README at

7  Libraries, Applications, Projects

7.1  Language Features

7.1.1  Conduit

Report by:Michael Snoyman

While lazy I/O has served the Haskell community well for many purposes in the past, it is not a panacea. The inherent non-determinism with regard to resource management can cause problems in such situations as file serving from a high traffic web server, where the bottleneck is the number of file descriptors available to a process.

The left fold enumerator was one of the first approaches to dealing with streaming data without using lazy I/O. While it is certainly a workable solution, it requires a certain inversion of control to be applied to code. Additionally, many people have found the concept daunting. Most importantly for our purposes, certain kinds of operations, such as interleaving data sources and sinks, are prohibitively difficult under that model.

The conduit package was designed as an alternate approach to the same problem. The root of our simplification is removing one of the constraints in the enumerator approach. In order to guarantee proper resource finalization, the data source must always maintain the flow of execution in a program. This can lead to confusing code in many cases. In conduit, we separate out guaranteed resource finalization as its own component, namely the ResourceT transformer.

Once this transformation is in place, data producers, consumers, and transformers (known as Sources, Sinks, and Conduits, respectively) can each maintain control of their own execution, and pass off control via coroutines. The user need not deal directly with any of this low-level plumbing; a simple monadic interface (inspired greatly by the pipes package) is sufficient for almost all use cases.

Since its initial release, conduit has been through many design iterations, all the while keeping to its initial core principles. Since the last HCAR, we’ve released version 1.1. This release introduces no real API changes. Instead, code from various packages has been consolidated into the simpler conduit and conduit-extra hierarchy.

In addition, two new packages have been introduced. conduit-combinators provides a complete set of conduit helper functions, working both on chunked data (e.g., Text or ByteString) and unchunked. This package takes advantage of mono-traversable to abstract over many common data types. In addition, streaming-commons has been spawned, which is a common package for various streaming data libraries to share code in.

There is a rich ecosystem of libraries available to be used with conduit, including cryptography, network communications, serialization, XML processing, and more.

The library is available on Hackage. There is an interactive tutorial available on the FP Complete School of Haskell. You can find many conduit-based packages in the Conduit category on Hackage as well.

Further reading

7.1.2  lens

Report by:Edward Kmett
Participants:many others
Status:very actively developed

The lens package provides families of lenses, isomorphisms, folds, traversals, getters and setters. That is to say, it provides a rich, compositional vocabulary for separating “what you want to do” from “what you want to do it to” built upon rigorous foundations.

Compared to other libraries that provide lenses, key distinguishing features for lens are that it comes “batteries included” with many useful lenses for the types commonly used from the Haskell Platform, and with tools for automatically generating lenses and isomorphisms for user-supplied data types.

Also, included in this package is a variant of Neil Mitchell’s uniplate generic programming library, modified to provide a |Traversal| and with its combinators modified to work with arbitrary traversals.

Moreover, you do not need to incur a dependency on the lens package in order to supply (or consume) lenses or most of the other lens-like constructions offered by this package.

Further reading

7.1.3  folds

Report by:Edward Kmett
Status:actively developed

This package provides a playground full of resumable comonadic folds and folding homomorphisms between them.

Further reading

7.1.4  machines

Report by:Edward Kmett
Participants:Anthony Cowley, Shachaf Ben-Kiki, Paul Chiusano, Nathan van Doorn
Status:actively developed

Ceci n’est pas une pipe

This package exists to explore the design space of streaming calculations. Machines are demand-driven input sources like pipes or conduits, but can support multiple inputs.

You design a Machine by writing a Plan. You then construct the machine from the plan.

Simple machines that take one input are called a Process. More generally you can attach a Process to the output of any type of Machine, yielding a new Machine. More complicated machines provide other ways of connecting to them.

Typically the use of machines proceeds by using simple plans into machine Tees and Wyes, capping many of the inputs to those with possibly monadic sources, feeding the rest input (possibly repeatedly) and calling run or runT to get the answers out.

There is a lot of flexibility when building a machine in choosing between empowering the machine to run its own monadic effects or delegating that responsibility to a custom driver.

Further reading

7.1.5  exceptions

Report by:Edward Kmett
Participants:Gabriel Gonzales, Michael Snoyman, John Weigley, Mark Lentczner, Alp Mestanogullari, Fedor Gogolev, Merijn Verstraaten, Matvey B. Aksenov
Status:actively developed

This package was begun as an effort to define a standard way to deal with exception handling in monad transformer stacks that could scale to the needs of real applications in terms of handling asynchronous exceptions, could support GHC now that |block| and |unblock| have been removed from the compiler, and which we could reason about the resulting behavior, and still support |mocking| on monad transformer stacks that are not built atop |IO|.

Further reading

7.1.6  tables

Report by:Edward Kmett
Participants:Nathan van Doorn, Tim Dixon, Niklas Haas, Dag Odenhall, Petr Pilar, Austin Seipp
Status:actively developed

The tables package provides a multiply-indexed in-memory data store in the spirit of ixset or data-store, but with a lens-based API.

Further reading

7.1.7  Faking even more dependent types!

Report by:Richard Eisenberg
Participants:Jan Stolarek
Status:released; major update on the way

The singletons package enables users to fake dependent types in Haskell via the technique of singletons. In brief, a singleton type is a type with exactly one value; by knowing the value, you also know the type, and vice versa. See “Dependently typed programming with singletons” (Haskell ’12) for more background.

Jan Stolarek and Richard Eisenberg are in the midst of a major update to singletons, which will include processing of a much larger subset of Haskell, including |case| and |let| statements, |where| clauses, anonymous functions, and classes.

Of particular interest, the library exports a |promote| function that will take ordinary term-level function definitions and promote them to type family definitions. After the update, this will allow users to write term-level code in a familiar style and have that code work on promoted datatypes at the type level.

We expect to release a polished version of this update by mid-summer.

Further reading

7.1.8  Type checking units-of-measure

Report by:Richard Eisenberg
Participants:Takayuki Muranushi
Status:early release available; large update on the way

The units package, already available on Hackage, allows you to type-check your Haskell code with respect to units of measure. It prevents you from adding, say meters to seconds while allowing you to add meters to feet and dividing meters by seconds. A |Double| can be converted into a dimensioned quantity only by specifying its units, and a dimensioned quantity can be converted to an ordinary |Double| only by specifying the desired units of the output.

The set of units is fully extensible. The package exports definitions for the standard SI system, but this only a matter of convenience – new units are meant to be written in user code. Because of this, the package is suitable for use outside of physics applications, such as finance or keeping your apples apart from your bananas.

The magic under the hood uses lots of type families and no functional dependencies. One upshot of this design is that user code can generally be free of constraints on types. Here is some sample code:

kinetic_energy :: Mass -> Velocity -> Energy
kinetic_energy m v = dim $ 0.5 *. m .* v .* v
g_earth :: Acceleration
g_earth = dim $ 9.8 % (Meter :/ (Second :^ pTwo))

Type annotations are not necessary – all types can be inferred.

There is a major update under way. The intrepid can check out the repo at We hope to release in the next few weeks.

Further reading

7.2  Education

7.2.1  Exercism: crowd-sourced code reviews on daily practice problems

Report by:Bob Ippolito
Status:available is an open source (AGPL) site that provides programming exercises suitable for new programmers, or programmers new to a programming language.

The feature that differentiates exercism from self-study is that once a solution is submitted, others who have completed that exercise have an opportunity to provide code review. Anecdotally, this seems to put programmers on the right track quickly, especially with regard to the subtler points of Haskell style, non-strict evaluation, and GHC-specific features.

Exercism fully supports Haskell as of August 2013, with more than 50 exercises currently available. As of this writing, 165 people have completed at least one Haskell exercise.

I intend to continue actively participating in the code review process and ensure that the Haskell exercise path is well maintained.

Further reading

7.2.2  Talentbuddy

Report by:Andrei Soare

Talentbuddy is a fun way for developers to practice their skills.

It offers access to a diverse selection of problems and it makes it easy to get feedback from your peers once you solve them.

You can write code in multiple languages — including Haskell — and if you get stuck, you can ask for help. The members of the community that already solved the challenge get to see your question and suggest ways to make progress.

Once you solve a problem, you get access to everyone else’s solutions. By comparing your solution with the other ones you acquire knowledge about alternative strategies for solving the problem, or more elegant ways to write the solution.

Another great way to learn on Talentbuddy is by asking your peers to review your solution. Their reviews help increase your solution’s readability and elegance.

Further reading

7.2.3  Holmes, Plagiarism Detection for Haskell

Report by:Jurriaan Hage
Participants:Brian Vermeer, Gerben Verburg

Holmes is a tool for detecting plagiarism in Haskell programs. A prototype implementation was made by Brian Vermeer under supervision of Jurriaan Hage, in order to determine which heuristics work well. This implementation could deal only with Helium programs. We found that a token stream based comparison and Moss style fingerprinting work well enough, if you remove template code and dead code before the comparison. Since we compute the control flow graphs anyway, we decided to also keep some form of similarity checking of control-flow graphs (particularly, to be able to deal with certain refactorings).

In November 2010, Gerben Verburg started to reimplement Holmes keeping only the heuristics we figured were useful, basing that implementation on haskell-src-exts. A large scale empirical validation has been made, and the results are good. We have found quite a bit of plagiarism in a collection of about 2200 submissions, including a substantial number in which refactoring was used to mask the plagiarism. A paper has been written, which has been presented at CSERC’13, and should become available in the ACM Digital Library.

The tool will be made available through Hackage at some point, but before that happens it can already be obtained on request from Jurriaan Hage.


<J.Hage at>

7.2.4  Interactive Domain Reasoners

Report by:Bastiaan Heeren
Participants:Johan Jeuring, Alex Gerdes, Josje Lodder
Status:experimental, active development

The Ideas project at the Open Universiteit and Utrecht University aims at developing domain reasoners for stepwise exercises on various topics. These reasoners assist students in solving exercises incrementally by checking intermediate steps, providing feedback on how to continue, and detecting common mistakes. The reasoners are based on a strategy language, from which feedback is derived automatically. The calculation of feedback is offered as a set of web services, enabling external (mathematical) learning environments to use our work. We currently have a binding with the Digital Mathematics Environment of the Freudenthal Institute (first/left screenshot), the ActiveMath learning system of the DFKI and Saarland University (second/right screenshot), and our own online exercise assistant that supports rewriting logical expressions into disjunctive normal form.

We have used our domain reasoners to model dialogues in Communicate!, which is a serious game for training communication skills being developed by a team of teachers and students at Utrecht University.

A group of bachelor students from the Open Universiteit has developed a new web interface for our tutor for logic, to which we have added exercises for proving equivalences.

We have continued working on using our domain reasoners in the development of programming tutors. The Ask-Elle functional programming tutor. lets you practice introductory functional programming exercises in Haskell. We have extended the tutor with QuickCheck properties for testing the correctness of student programs, and for the generation of counterexamples. We have analysed the usage of the tutor to find out how many student submissions are correctly diagnosed as right or wrong. Tim Olmer has developed a tutor in which a student can practice with evaluating Haskell expressions. Finally, Hieke Keuning has developed a programming tutor for imperative programming.

The library for developing domain reasoners with feedback services is available as a Cabal source package. We have written a tutorial on how to make your own domain reasoner with this library. We have also released our domain reasoner for mathematics and logic as a separate package.

Further reading

7.3  Parsing and Transforming

7.3.1  epub-metadata

Report by:Dino Morelli
Status:experimental, actively developed

Library for parsing and manipulating epub OPF package data. Now with epub3 support.

epub-metadata is available from Hackage and the Darcs repository below.

See also epub-tools (→7.9.1).

Further reading

7.3.2  Utrecht Parser Combinator Library: uu-parsinglib

Report by:Doaitse Swierstra
Status:actively developed

With respect to the previous version the code for building interleaved parsers was split off into a separate package uu-interleaved, such that it can be used by other parsing libraries too. Based on this another small package uu-options was constructed which can be used to parse command line options and files with preferences. The internals of these are described in a technical report:

As an example of its use we show how to fill a record from the command line. We start out by defining the record which is to hold the options to be possibly set: data Prefers  =  Agda | Haskell deriving Show
data Address  =  Address  {  city_ :: String
                          ,  street_ :: String} 
                 deriving Show
data Name     =  Name  {  name_:: String 
                       ,  prefers_:: Prefers
                       ,  ints_ :: [Int]
                       ,  address_ :: Address} 
                 deriving Show
$(deriveLenses ''Name)
$(deriveLenses ''Address)

The next thing to do is to specify a default record containing the default values: defaults = Name  "Doaitse"  Haskell [] 
                 (Address  "Utrecht" 
Next we define the parser for the options, by specifying each option: oName =
                 name     `option`   (  "name",       pString,
            <>   ints     `options`  (  "ints",       pNaturalRaw,  
                                        "Some numbers") 
            <>   prefers  `choose`   [(  "agda",      Agda,         
                                         "Agda preferred")
                                     ,(  "haskell",   Haskell,      
                                         "Haskell preferred")
            <>   address  `field`
                           (   city     `option`  (  "city",   pString, 
                                                     "Home city")  
                           <>  street   `option`  (  "street" ,pString, 
                                                     "Home Street" )
Finally when running this parser by the command |run (( defaults) <> mkP oName)| on the string |("–int=7 –city=Tynaarlo -i 5 –agda -i3 "++"-street=Zandlust")| the result is Name  {  name_     =  Doaitse
      ,  prefers_  =  Agda
      ,  ints_     =  [7,5,3]
      ,  address_  =  Address 
                      {  city_    =  Tynaarlo
                      ,  street_  =  Zandlust}

If you make a mistake in the list of options, automatic error reporting and correction steps in and you get the following message:

./OptionsDemo --street=Zandlust -nDoaitse
-i3 --city=Tynaarlo
 --name     [Char]  optional  Name
 --ints     Int     recurring Some numbers
 Choose at least one from(
 --agda         required  Agda preferred
 --haskell      required  Haskell preferred
 --city     [Char]  optional  Home city
 --street   [Char]  optional  Home Street
 --  Correcting steps:
 --    Inserted  "-a" at position 70 
 --    expecting one of
       [  "--agda", "--agda=", "--haskell", 
          "--haskell=", "--ints=", "--ints", 
          "-i", "-h", "-a"]
 --    Inserted  EOT at position 70 
 --    expecting EOT


Future plans

Future versions will contain a check for grammars being not left-recursive, thus taking away the only remaining source of surprises when using parser combinator libraries. This makes the library even greater for use in teaching environments. Future versions of the library, using even more abstract interpretation, will make use of computed look-ahead information to speed up the parsing process further.


If you are interested in using the current version of the library in order to provide feedback on the provided interface, contact <doaitse at>. There is a low volume, moderated mailing list which was moved to <parsing at> (see also

7.3.3  Grammar Products

Report by:Christian Höner zu Siederdissen
Status:usable, active development

We have developed a theory of algebraic operations over linear and context-free grammars. This theory allows us to combine simple “atomic” grammars to create more complex ones.

With the compiler that accompanies our theory, we make it easy to experiment with grammars and their products. Atomic grammars are user-defined and the algebraic operations on the atomic grammars are embedded in a rigerous mathematical framework.

Our immediate applications are problems in computational biology and linguistics. In these domains, algorithms that combine structural features on individual inputs (or tapes) with an alignment or structure between tapes are becoming more commonplace. Our theory will simplify building grammar-based applications by dealing with the intrinsic complexity of these algorithms.

We provide multiple types of output. LaTeX is available to those users who prefer to manually write the resulting grammars. Alternatively, Haskell modules can be created. TemplateHaskell and QuasiQuoting machinery is also available turning this framework into a fully usable embedded domain-specific language. The DSL or Haskell module use ADPfusion (→7.11.1) with multitape extensions, delivering “close-to-C” performance.

Further reading

7.3.4  HERMIT

Report by:Andy Gill
Participants:Andrew Farmer, Ed Komp, Neil Sculthorpe, Adam Howell, Ryan Scott

The Haskell Equational Reasoning Model-to-Implementation Tunnel (HERMIT) is an NSF-funded project being run at KU (→9.8), which aims to improve the applicability of Haskell-hosted Semi-Formal Models to High Assurance Development. Specifically, HERMIT uses a Haskell-hosted DSL and a new refinement user interface to perform rewrites directly on Haskell Core, the GHC internal representation.

This project is a substantial case study of the application of Worker/Wrapper. In particular, we want to demonstrate the equivalences between efficient Haskell programs, and their clear specification-style Haskell counterparts. In doing so there are several open problems, including refinement scripting and managing scaling issues, data representation and presentation challenges, and understanding the theoretical boundaries of the worker/wrapper transformation.

We have reworked KURE (, a Haskell-hosted DSL for strategic programming, as the basis of our rewrite capabilities, and constructed the rewrite kernel making use of the GHC Plugins architecture. A journal writeup of the KURE internals has been submitted to JFP, and is available on the group webpage. As for interfaces to the kernel, we currently have a command-line REPL, and an Android version is under development. We have used HERMIT to successfully mechanize many smaller examples of program transformations, drawn from the literature on techniques such as concatenate vanishes, tupling transformation, and worker/wrapper.

We are scaling up our capabilities, and working on larger examples, including the mechanization of improvements to the classical game of life. We also submitted a paper to the Haskell Symposium 2014 with a description of our support for equational reasoning in HERMIT, including a mechanization of Bird’s “Making a Century”.

HERMIT is also being used in three projects.

Further reading

7.3.5  haskell-names

Report by:Roman Cheplyaka
Status:active development; in use

haskell-src-exts has long been used for Haskell analysis tools. Unfortunately, without proper semantic information about the names, these tools are either very imprecise, or have to perform the tricky name resolution process themselves.

haskell-names solves exactly this problem. It is a Haskell name resolution library built on top of haskell-src-exts.

In the simplest case, you give it an AST produced by haskell-src-ext’s parser, and it gives you back the same AST annotated with the name binding information.

Besides that, there’s a more powerful interface to name resolution, using open recursion. It’s essentially a generic traversal of the AST, where at each node the algebra has access to the global and lexical name environments. This is described in more detail in the article “Open your name resolution”.

haskell-names is also integrated with cabal, thanks to the haskell-packages library (→7.3.6). You can install packages using the special hs-gen-iface compiler, and haskell-names will be aware of them.

Some of the missing features are detection of certain kinds of scoping errors, recording and applying fixities, and resolution of type variables. Some language extensions are not yet fully supported.

Still, haskell-names can correctly resolve most of the valid Haskell code and is being successfully used by the Fay and Ariadne (→6.1.3) projects.

Further reading

For further directions, please see the README at

To learn more about “open name resolution”, see

7.3.6  haskell-packages

Report by:Roman Cheplyaka
Status:active development; in use

If you are writing a Haskell compiler, you typically want to integrate it with Cabal (→6.4.1), to be able to build ordinary Haskell packages.

If you go the hard way, this involves:

  1. Parsing command line parameters
  2. Teaching Cabal how to call your compiler (which typically involves patching Cabal)
  3. Package management

haskell-packages solves most of these problems for you. All you need to do is to provide the function to do actual compilation and tell a couple of other things about your compiler.

haskell-packages is fully supported by Cabal 1.20.

Further reading

7.3.7  parsers

Report by:Edward Kmett
Participants:Nathan Filardo, Dag Odenall, Mario Blazevic, Tony Morris, Tim Dixon, Greg Fitzgerald
Status:actively developed

This package provides a common lingua franca for working with parsec-like parsing combinator libraries, such that the combinators support being lifted over monad transformers. Instances are provided for use with the parsec Parser and base’s ReadP, and it is used by trifecta (→7.3.8) to provide its suite of parsing combinators.

Notably, many of the combinators have been modified to only require the use of Alternative rather than MonadPlus, enabling some base Parser instances to operate more efficiently.

Further reading

7.3.8  trifecta

Report by:Edward Kmett
Participants:Austin Seipp, Nathan Filardo, John Weigley
Status:actively developed

This package is designed to explore the space of “human scale” parsers for programming languages. That is to say, it isn’t optimized for parsing protocols or other huge streaming datasets, but rather to provide nice error messages for files that are usually written by hand by human beings.

Trifecta supports clang-style colored diagnostics with markup denoting locations, spans and fixits for user code. It builds on top of the parsers (→7.3.7) framework for most of its parsing combinators.

Much of the focus of trifecta is on supporting functionality beyond basic parsing, such as syntax highlighting, that arise once you have a programming language.

In the long term, we plan to support built-in CPP, auto-completion and parser transformers to support Haskell-style layout.

Further reading

7.4  Generic and Type-Level Programming

7.4.1  Optimising Generic Functions

Report by:José Pedro Magalhães
Participants:Michael D. Adams, Andrew Farmer
Status:actively developed

Datatype-generic programming increases program reliability by reducing code duplication and enhancing reusability and modularity. However, it is known that datatype-generic programs often run slower than type-specific variants, and this factor can prevent adoption of generic programming altogether. There can be multiple reasons for the performance penalty, but often it is caused by conversions to and from representation types that do not get eliminated during compilation.

Fortunately, it is also known that generic functions can be specialised to concrete datatypes, removing any overhead from the use of generic programming. We have investigated compilation techniques to specialise generic functions and remove the performance overhead of generic programs in Haskell. We used a representative generic programming library and inspected the generated code for a number of example generic functions. After understanding the necessary compiler optimisations for producing efficient generic code, we benchmarked the runtime of our generic functions against handwritten variants, and concluded that all the overhead can indeed be removed automatically by the compiler. More details can be found in the IFL’12 paper linked below.

We have also investigated how to optimise the popular Scrap Your Boilerplate (SYB) generic programming library. Using a HERMIT (→7.3.4) script for implementing an optimisation pass in the compiler, we have removed all runtime overhead from SYB functions. More details can be found in the draft paper linked below.

Further reading

7.4.2  traverse-with-class

Report by:Roman Cheplyaka
Participants:Sjoerd Visscher

traverse-with-class is an advanced generic programming library.

It is most closely related to syb-with-class (“Scrap your boilerplate with class”). The main difference is using gtraverse instead of gfoldl:

class GTraversable (c :: Constraint) a where
    :: (Applicative f, ?c :: proxy c)
    => (forall d . c d => d -> f d)
    -> a -> f a

This is based on the insight that @gtraverse@ is in theory equivalent in power to @gfoldl@, but many instances can be encoded in a more direct way using @gtraverse@.

For example, the uniform instance for lists — one that treats all the list elements as being on the same level — is trivial to encode using @gtraverse@, and is very tricky to encode using @gfoldl@.

Another difference compared to syb-with-class is usage of modern Haskell extensions to simplify the API. We use constraint kinds instead of explicit dictionary types, and implicit parameters to simulate type lambda application.

traverse-with-class is the base of open recursive name resolution in haskell-names (→7.3.5).

Further reading

7.4.3  constraints

Report by:Edward Kmett
Participants:Sjoerd Visscher, Austin Seipp
Status:actively developed

This package provides data types and classes for manipulating values of kind |Constraint| as exposed by GHC since 7.4.

Further reading

7.5  Mathematics

7.5.1  Rlang-QQ

Report by:Adam Vogt
Status:active development

Rlang-QQ is intended to make it easier to call R from Haskell programs. This allows access to a large number of R packages for graphing, statistics or other uses. Rlang-QQ provides a quasiquoter which runs the R interpreter and tries to translate values between the two languages.

Haskell expressions can be referenced from R using syntax like $(take 10 [1.0 .. ]). Haskell variables can also be passed in by prefixing them with hs_: hs_x refers to x. Values that can be taken out of a Haskell x :: Chan t are accessible using ch_x. When the R code has an assignment such as hs_x <- f(), the quasiquote evaluates to an HList record which contains the result from f().

Future work may include supporting the serialization of more data types between the two languages, passing data between the two runtimes in-memory instead of through files, and doing inference when possible on the R-code to restrict the types of the Haskell values that are serialized or deserialized.

Further reading

7.5.2  order-statistics

Report by:Edward Kmett

This package extends Bryan O’Sullivan’s statistics package with support for order statistics and L-estimators.

An order statistic is simply a position in the sorted list of samples given just the size of the sample. L-estimators are linear combinations of order-statistics.

L-estimators are used in robust statistics to collect statistics that are robust in the presence of outliers, and have the benefit that you can jackknife them without changing their asymptotics.

This package provides a compositional vocabulary for describing order statistics.

Further reading

7.5.3  Eliminating Redundancies in Linear Systems

Report by:Philipp Kant

A recurring task in perturbative quantum field theory is the exact solution of very large systems of linear equations, where the coefficients are multivariate polynomials. The systems can contain hundreds of thousands of equations, where many of those equations are linearly dependent. In complicated cases, solving the system requires several months of CPU time.

ICE is a small Haskell program that detects which equations in a given set are linearly independent, so that the rest can be safely discarded before an attempt to solve the system. Thus, the time that would be spent processing redundant information can be saved.

The algorithm works by mapping the whole system homomorphically from the ring of multivariate polynomials to a finite field Fp, where computations are cheap and the system can be solved fast using standard Gaussian elimination. By keeping track of the required row permutations, the linearly independent equations are identified.

Future plans include to use multiple images in Fp to solve the original system via rational function reconstruction. This would avoid the intermediate expression swell that is encountered when a linear system over multivariate polynomials is solved directly.

Further reading

7.5.4  linear

Report by:Edward Kmett
Participants:Anthony Cowley, Ben Gamari, Jake McArthur, John Weigley, Elliott Hird, Eric Mertens, Niklas Haas, Casey McCann
Status:actively developed

This package provides ‘low-dimensional’ linear algebra primitives that are based explicitly on the notion that all vector spaces are free vector spaces, and so are isomorphic to functions from some basis to an underlying field. This lets us use representable functors, which are represented by such a basis to encode all of our linear algebra operations, and provides a natural encoding for dense vector spaces.

A nice |lens|-based API is provided that permits punning of basis vector names between different vector types.

Further reading

7.5.5  algebra

Report by:Edward Kmett

This package provides a large cross section of constructive abstract algebra.

Notable theoretical niceties include the fact that covectors form a Monad, linear maps form an Arrow, and this package bundles a rather novel notion of geometric coalgebra alongside the more traditional algebras and coalgebras.

Further reading

7.5.6  semigroups and semigroupoids

Report by:Edward Kmett
Participants:Nathan van Doorn, Mark Wright, Adam Curtis

The semigroups package provides a standard location to obtain the notion of |Semigroup|.

The semigroupoids package provides the notion of a |Semigroupoid|, which is a |Category| that does not necessarily provide |id|. These arise in practice for many reasons in Haskell.

Notably, we cannot express a product category with the existing implementation of |Data Kinds|.

But more simply, there are many types for which their Kleisli category or Cokleisli category lacks identity arrows, because they lack |return| or |extract|, but could otherwise pass muster.

With semigroupoids 4.0, this package has now come to subsume the previous groupoids and semigroupoid-extras packages.

Further reading

7.5.7  Arithmetics packages (Edward Kmett)

Report by:Edward Kmett
Participants:Sjoerd Visscher, Austin Seipp, Daniel Bergey, Chris Schneider, Ben Gamari
Status:actively developed

Further reading

7.5.8  ad

Report by:Edward Kmett
Participants:Alex Lang, Takayuki Muranushi, Chad Scherrer, Lennart Augustsson, Ben Gamari, Christopher White
Status:actively developed

This package provides an intuitive API for Automatic Differentiation (AD) in Haskell. Automatic differentiation provides a means to calculate the derivatives of a function while evaluating it. Unlike numerical methods based on running the program with multiple inputs or symbolic approaches, automatic differentiation typically only decreases performance by a small multiplier.

AD employs the fact that any program |y = F(x)| that computes one or more values does so by composing multiple primitive operations. If the (partial) derivatives of each of those operations is known, then they can be composed to derive the answer for the derivative of the entire program at a point.

This library contains at its core a single implementation that describes how to compute the partial derivatives of a wide array of primitive operations. It then exposes an API that enables a user to safely combine them using standard higher-order functions, just as you would with any other Haskell numerical type.

There are several ways to compose these individual Jacobian matrices. We hide the choice used by the API behind an explicit “Mode” type-class and universal quantification. This prevents the end user from exploiting the properties of an individual mode, and thereby potentially violating invariants or confusing infinitesimals.

We are actively seeking ways to better support unboxed vectors, new modes, new primitives, and better-optimized forms for gradient descent.


Further reading

7.5.9  integration

Report by:Edward Kmett
Participants:Adrian Keet
Status:actively developed

This package provides robust numeric integration via tanh-sinh quadrature. “Tanh-Sinh quadrature scheme is the fastest known high-precision quadrature scheme, especially when the time for computing abscissas and weights is considered. It has been successfully employed for quadrature calculations of up to 20,000-digit precision. It works well for functions with blow-up singularities or infinite derivatives at endpoints.”

Further reading

7.5.10  categories

Report by:Edward Kmett
Participants:Gwern Branwen

This package provides a number of classes for working with Category instances with more structure in Haskell. In many ways this package can be viewed as an alternative to working with Arrows, as working with a CCC can provide you with much more fuel for optimization.

Further reading

7.5.11  contravariant

Report by:Edward Kmett
Participants:Dag Odenhall, Merijn Verstraaten

This package provides the notion of a contravariant functor, along with various forms of composition for contravariant functors and Day convolution.

Further reading

7.5.12  bifunctors

Report by:Edward Kmett

This package provides a standard location to retrieve the notion of a Bifunctor, Bifoldable or Bitraversable data type.

Further reading

7.5.13  profunctors

Report by:Edward Kmett
Participants:Shachaf Ben-Kiki, Elliott Hird

This package provides profunctors, which act like an |Arrow| you don’t necessarily know how to put together.

These form the bedrock upon which |lens| (→7.1.2) is built.

With profunctors 4.0 we’ve merged together the contents of the older profunctors, profunctor-extras and representable-profunctors packages.

In addition to the basic notion of a profunctor, we also provide the category of collages for a profunctor, notions of representable and corepresentable profunctors, along with weaker notions of |Strong| and |Choice| that correspond to various |Arrow| classes, profunctor composition.

Further reading

7.5.14  comonad

Report by:Edward Kmett
Participants:Dave Menendez, Gabor Greif, David Luposchainsky, Sjoerd Visscher, Luke Palmer, Nathan van Doorn

This package provides the comonads, the categorical dual of monads, along with comonad transformers, and the comonadic equivalent of the mtl.

With comonad 4.0 we’ve merged together the contents of the older comonad, comonad-transformers, and comonads-fd packages.

You can work with this package using Dominic Orchard’s codo-notation, or use them directly.

The kan-extensions (→7.5.16) package also provides a transformer that can turn a comonad into a monad.

Further reading

7.5.15  recursion-schemes

Report by:Edward Kmett

This package provides generalized bananas, lenses and barbed wire based on the recursion schemes that came out of the constructive algorithmics community over the years.

In addition to the standard recursion schemes, all of their distributive laws can be made compositional, enabling the creation of such interesting and impractical beasts as the zygohistomorphic prepromorphism.

Further reading

7.5.16  kan-extensions

Report by:Edward Kmett

This package provides Kan extensions, Kan lifts, various forms of the Yoneda lemma, and (co)density (co)monads.

These constructions have proven useful for many purposes:

Further reading

7.5.17  arb-fft

Report by:Ian Ross
Status:actively developed

This package started as an experiment to see how close a pure Haskell FFT implementation could get to FFTW (“the Fastest Fourier Transform in the West”). The result is a library that can do fast Fourier transforms for arbitrarily sized vectors with performance within a factor of about five of FFTW.

Future plans mostly revolve around making things go faster! In particular, the next thing to do is to write an equivalent of FFTW’s genfft, a metaprogramming tool to generate fast straight-line code for transforms of specialised sizes. Other planned work includes implementing real-to-complex and real-to-real transforms, multi-dimensional transforms, and some low-level optimisation.

Further reading

7.5.18  hblas

Report by:Carter Tazio Schonwald
Participants:Stephen Diehl and Csernik Flaviu Andrei
Status:Actively Developed

hblas is high level, easy to extend BLAS/LAPACK FFI Binding for Haskell.

hblas has several attributes that in aggregate distinguish it from alternative BLAS/LAPACK bindings for Haskell.

  1. Zero configuration install
  2. FFI wrappers are written in Haskell
  3. Provides the fully generality of each supported BLAS/LAPACK routine, in a type safe wrapper that still follows the naming conventions of BLAS and LAPACK.
  4. Designed to be easy to extend with further bindings to BLAS/LAPACK routines (because there are many many specialized routines!)
  5. Adaptively choses between unsafe vs safe foreign calls based upon estimated runtime of a computation, to ensure that long running hblas ffi calls interact safely with the GHC runtime and the rest of an application.
  6. hblas is not an end user library, but is designed to easily interop with any array library that supports storable vectors.

Further reading

7.5.19  HROOT

Report by:Ian-Woo Kim
Status:Actively Developing

HROOT is a haskell binding to ROOT framework by fficxx, a haskell-C++ binding generator tool. ROOT ( is an OOP framework for data analysis and statistics, which is developed at CERN. The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficient way. ROOT is a de facto standard physics analysis tool in high energy physics experiments.

This haskell binding to ROOT provides an industrial-strength statistical analysis libraries to the haskell community. The haskell code for using HROOT is very straightforward to both haskell and C++ programmers thanks to the fficxx binding generator tool. The following is a sample code and a resultant histogram for histogramming a 2D gaussian distribution:

import Data.Random.Distribution.Normal
import HROOT
main :: IO () 
main = do 
  tcanvas <- newTCanvas "Test" "Test" 640 480
  h2 <- newTH2F "test" "test"
                100 (-5.0) 5.0 100 (-5.0) 5.0 
  let dist1 = Normal (0 :: Double)
                     (2 :: Double)
  let go n | n < 0 = return () 
           | otherwise = do 
               histfill dist1 dist2 h2
               go (n-1) 
  go 1000000
  draw h2 "lego"
  saveAs tcanvas "random2d.pdf" ""
histfill :: Normal Double -> TH2F -> IO () 
histfill dist1 hist = do 
  x <- sample dist1
  y <- sample dist1 
  fill2 hist x y 
  return () 

Until ghc 7.6, HROOT cannot be used in interpreter mode of ghc, due to the linker problem. Now with ghc 7.8, ghci now uses the standard system linker for dynamically loaded library. Thus, our current focus is to have full ghc interpreter support for making HROOT a really useful analysis framework. In addition, we keep importing features from ROOT to available haskell functions.

Further reading

7.5.20  Numerical

Report by:Carter Tazio Schonwald
Status:actively developed

The Numerical project, starting with the numerical-core package, has the goal of providing a general purpose numerical computing substrate for Haskell.

To start with, the numerical-core provides an extensible set of type classes suitable for both dense and sparse multi dimensional arrays, high level combinators for writing good locality code, and some basic matrix computation routines that work on both dense and sparse matrix formats.

The core Numerical packages, including numerical-core, are now in public alpha release as of mid May 2014.

Development of the numerical packages is public on github, and as they stabilize, alpha releases are being made available on hackage.

Further reading

7.6  Data Types and Data Structures

7.6.1  HList — A Library for Typed Heterogeneous Collections

Report by:Adam Vogt
Participants:Oleg Kiselyov, Ralf Lämmel, Keean Schupke

HList is a comprehensive, general purpose Haskell library for typed heterogeneous collections including extensible polymorphic records and variants. HList is analogous to the standard list library, providing a host of various construction, look-up, filtering, and iteration primitives. In contrast to the regular lists, elements of heterogeneous lists do not have to have the same type. HList lets the user formulate statically checkable constraints: for example, no two elements of a collection may have the same type (so the elements can be unambiguously indexed by their type).

An immediate application of HLists is the implementation of open, extensible records with first-class, reusable, and compile-time only labels. The dual application is extensible polymorphic variants (open unions). HList contains several implementations of open records, including records as sequences of field values, where the type of each field is annotated with its phantom label. We and others have also used HList for type-safe database access in Haskell. HList-based Records form the basis of OOHaskell. The HList library relies on common extensions of Haskell 2010. HList is being used in AspectAG (, typed EDSL of attribute grammars, and in Rlang-QQ.

The October 2012 version of HList library marks the significant re-write to take advantage of the fancier types offered by GHC 7.4 and 7.6. HList now relies on promoted data types and on kind polymorphism.

Since the last update, there have been several minor releases. These include features such as support for ghc-7.8 as well as additional syntax for the pun quasiquote.

Further reading

7.6.2  Persistent

Report by:Michael Snoyman
Participants:Greg Weber, Felipe Lessa

Persistent is a type-safe data store interface for Haskell. Haskell has many different database bindings available, but they provide few usefeul static guarantees. Persistent uses knowledge of the data schema to provide a type-safe interface that re-uses existing database binding libraries. Persistent is designed to work across different databases, and works on Sqlite, PostgreSQL, MongoDB, and MySQL, with an experimental backend for CouchDB.

The 1.2 release features a refactoring of the module hierarchy. We’re taking this opporunity to clean up a few idiosyncracies in the API and make the documentation a bit more helpful, but otherwise the library is remaining unchanged.

The MongoDB backend features new helpers, query operators, and bug fixes for working with embedded/nested models. One can store a list of Maps or records inside a column/field. This is required for proper usage of MongoDB. In SQL an embedded object is stored as JSON, which is convenient as long as the column is not queried.

In order to accomodate various different backend types, Persistent is broken up into multiple components (separated by type classes). There is one for storage/serialization, one for uniqueness, and one for querying. This means that anyone wanting to create database abstractions can re-use the battle-tested persistent storage/serialization layer without having to implement the full query interface.

Persistent’s query layer is the same for any backend that implement the query interface, although backends can define their own additional operators. The interface is a straightforward usage of combinators:

selectList [  PersonFirstName ==. "Simon", 
              PersonLastName ==. "Jones"] []

There are some drawbacks to the query layer: it doesn’t cover every use case. Persistent has built-in some very good support for raw SQL. One can run arbitrary SQL queries and get back Haskell records or types for single columns. In addition, Felipe Lessa has created a library called esqueleto for having complete control over generating SQL but with type safety. persistent-MongoDB also has helpers for working with raw queries.

Future plans

Possible future directions for Persistent:

Persistent users may also be interested in Groundhog (→7.6.3), a similar project.

Most of Persistent development occurs within the Yesod (→5.2.5) community. However, there is nothing specific to Yesod about it. You can have a type-safe, productive way to store data, even on a project that has nothing to do with web development.

Further reading

7.6.3  Groundhog

Report by:Boris Lykah

Groundhog is a library for mapping user defined datatypes to the database and manipulating them in a high-level typesafe manner. It is easy to plug Groundhog into an existing project since it does not need modifying a datatype or providing detailed settings. The schema can be configured flexibly which facilitates integration with existing databases. It supports composite keys, indexes, references across several schemas. Just one line is enough to analyze the type and map it to the table. The migration mechanism can automatically check, initialize, and migrate database schema. Groundhog has backends for Sqlite, PostgreSQL, and MySQL.

Unlike Persistent (→7.6.2) it maps the datatypes instead of creating new ones. The types can be polymorphic and contain multiple constructors. It allows creating sophisticated queries which might include arithmetic expressions, functions, and operators. The database-specific operators, for example, array-related in PostgreSQL are statically guaranteed to run only for PostgreSQL connection. Its support for the natural and composite keys is implemented using generic embedded datatype mechanism.

Groundhog has got several commercial users which have positive feedback. Most of the recent changes were done to meet their needs. The new features include PostgreSQL geometric operators, Fractional, Floating, and Integral instances for lifted expressions, logging queries, references to tables not mapped to Haskell datatype, default column values, and several utility functions.

Further reading

7.6.4  reflection

Report by:Edward Kmett
Participants:Elliott Hird, Oliver Charles, Carter Schonwald

This package provides a mechanism to dynamically construct a type from a term that you can reflect back down to a term based on the ideas from “Functional Pearl: Implicit Configurations” by Oleg Kiselyov and Chung-Chieh Shan. However, the API has been implemented in a much more efficient manner.

This is useful when you need to make a typeclass instance that depends on a particular value in scope, such as a modulus or a graph.

Further reading

7.6.5  tag-bits

Report by:Edward Kmett

This package provides access to the dynamic pointer tagging bits used by GHC, and can peek into infotables to determine (unsafely) whether or not a thunk has already been evaluated.

Further reading

7.6.6  hyperloglog

Report by:Edward Kmett
Participants:Ozgun Ataman
Status:actively developed

This package provides an approximate streaming (constant space) unique object counter.

Notably it can be used to approximate a set of several billion elements with 1-2%inaccuracy in around 1.5k of memory.

Further reading

7.6.7  concurrent-supply

Report by:Edward Kmett
Participants:Andrew Cowie, Christiaan Baaij

This package provides a fast supply of concurrent unique identifiers suitable for use within a single process. This benefits from greatly reduced locking overhead compared to |Data.Unique| as it only contents for the common pool every thousand or so identifiers.

One often has a desire to generate a bunch of integer identifiers within a single process that are unique within that process. You could use UUIDs, but they can be expensive to generate; you don’t want to have your threads contending for a single external counter if the identifier is not going to be used outside the process.

concurrent-supply builds a rose-tree-like structure which can be split; you can make smaller unique supplies and then you allocate from your supplies locally. Internally it pulls from a unique supply one block at a time as you walk into parts of the tree that haven’t been explored. This ensures that computations are always replayable within a process, and that the result appears purely functional to an outside observer.

Further reading

7.6.8  hybrid-vectors

Report by:Edward Kmett
Status:actively developed

This package provides various ways in which you can mix the different types of Vector from Roman Leschinskiy’s vector package to work with partially unboxed structures.

Further reading

7.6.9  lca

Report by:Edward Kmett
Participants:Daniel Peebles, Andy Sonnenburg
Status:actively developed

This package improves the previous known complexity bound of online lowest common ancestor search from O(h) to O(logh) persistently, and without preprocessing by using skew-binary random-access lists to store the paths.

Further reading

7.6.10  heaps

Report by:Edward Kmett
Status:actively developed

This package provides asymptotically optimal purely functional Brodal-Okasaki heaps with a “Haskelly” API.

Further reading

7.6.11  sparse

Report by:Edward Kmett
Participants:Carter Schonwald
Status:actively developed

This package provides sparse implicitly Morton-ordered matrices based on the series ‘revisiting matrix multiplication’ on the School of Haskell. It is efficient for sufficiently sparse matrices.

Further reading

7.6.12  compressed

Report by:Edward Kmett

This package provides an LZ78-compressed stream as a data type in Haskell. Compression isn’t used directly for data compression, but rather to allow for the reuse of intermediate monoidal results when folding over the data set. LZ78 is rather distinctive among LZ-variants in that it doesn’t require exhaustively enumerating the token set or searching a window. By using conservative approximations of what possible values the stream may take, it is also possible to work with this LZ78 stream as an |Applicative| or |Monad| without sacrificing too much compression on the resulting unfolding.

A similar structure is provided for decompressing run-length encoded data efficiently by peasant exponentiation.

Further reading

7.6.13  charset

Report by:Edward Kmett

This package provides fast unicode character sets based on complemented PATRICIA tries along with common charsets for variations on the posix standard and standard unicode blocks. This encoding has the benefit that a |CharSet| and its complement take the same amount of space. This package is used as a building block by parsers (→7.3.7) and trifecta (→7.3.8).

Further reading

7.6.14  Convenience types (Edward Kmett)

Report by:Edward Kmett
Participants:several others

Further reading

7.7  User Interfaces

7.7.1  HsQML

Report by:Robin KAY
Status:active development

HsQML provides access to a modern graphical user interface toolkit by way of a binding to the cross-platform Qt Quick framework.

The library focuses on mechanisms for marshalling data between Haskell and Qt’s domain-specific QML language. The intention is that QML, which incorporates both a declarative syntax and JavaScript code, can be used to design and animate the front-end of an application while being able to easily interface with Haskell code for functionality.

Status The latest version at time of press is This is the first release to support Qt 5.x (and Qt Quick 2). Other significant new features in this release include the ability to marshall list types and to signal property changes from Haskell. It has been tested on the major desktop platforms: Linux, Windows, and MacOS.

Further reading

7.7.2  LGtk: Lens GUI Toolkit

Report by:Péter Divianszky
Participants:Csaba Hruska
Status:experimental, actively developed

LGtk is a GUI Toolkit with the following goals:

There is a demo application which presents the current features of LGtk.

Changes in lgtk-0.8 since the last official announcement:

Further reading

7.7.3  Gtk2Hs

Report by:Daniel Wagner
Participants:Hamish Mackenzie, Axel Simon, Duncan Coutts, Andy Stewart, and many others
Status:beta, actively developed

Gtk2Hs is a set of Haskell bindings to many of the libraries included in the Gtk+/Gnome platform. Gtk+ is an extensive and mature multi-platform toolkit for creating graphical user interfaces.

GUIs written using Gtk2Hs use themes to resemble the native look on Windows. Gtk is the toolkit used by Gnome, one of the two major GUI toolkits on Linux. On Mac OS programs written using Gtk2Hs are run by Apple’s X11 server but may also be linked against a native Aqua implementation of Gtk.

Gtk2Hs features:

Recent efforts include increasing the coverage of the gtk3 bindings, as well as myriad miscellaneous bugfixes. Thanks to all who contributed!

Further reading

7.7.4  Haskell-EFL binding

Report by:Sylvain Henry

The Enlightenment Foundation Libraries (EFL) [1] provide a stateful canvas with many rendering backends (X11, Windows, OpenGL, framebuffer, …) as well as a unified interface to low-level OS dependent functionalities: user input (keyboard, mouse, multi-point, unicode texts with several input methods, …), formatted text rendering, threads, timers, etc. Haskell-EFL is a binding to these C libraries whose aim is to provide a solid foundation to develop native Haskell widget toolkits.

In its current state, the binding is close to be complete for the modules we are interested in (namely Ecore and Evas). However it still needs some polishing and testing. Source code is currently available on [2] and will be made available on Hackage as soon as it is considered complete and stable enough.

In the short term, we plan to release a stable version on Hackage. In the medium term, we would like to develop a native replacement for the Edje library, that is an EDSL to create UI elements with themes, animations, data-binding (FRP), etc. Finally, the long term and more demanding goal is to develop a comprehensive set of reusable UI components.

Further reading

7.7.5  threepenny-gui

Report by:Heinrich Apfelmus
Status:active development

Threepenny-gui is a framework for writing graphical user interfaces (GUI) that uses the web browser as a display. Features include:


The project is alive and kicking, version is the latest release. You can download the library from Hackage and use it right away to write that cheap GUI you need for your project. Here a screenshot from the example code:

For a collection of real world applications that use the library, have a look at the gallery on the homepage. Daniel Austin’s FNIStash program is also featured in this report (→7.13.3).

Current development

The library is still very much in flux, significant API changes are likely in future versions. The goal is to make GUI programming as simple as possible, and that just needs some experimentation.

The next version of threepenny-gui will include automatic garbage collection for HTML elements and it will (re-)introduce a UI monad that simplifies the JavaScript FFI and supports recursive uses of FRP.

Further reading

7.7.6  reactive-banana

Report by:Heinrich Apfelmus
Status:active development

Reactive-banana is a practical library for functional reactive programming (FRP).

FRP offers an elegant and concise way to express interactive programs such as graphical user interfaces, animations, computer music or robot controllers. It promises to avoid the spaghetti code that is all too common in traditional approaches to GUI programming.

The goal of the library is to provide a solid foundation.

Status. The latest version of the reactive-banana library is Compared to the previous report, there has been no new public release as the API and its semantics have reached a stable plateau.

It turned out that the library suffered from a large class of space leaks concerning accumulated behaviors. This has been fixed in the development version, but not yet incorporated into a new release.

Current development. As foreshadowed in the last report, not much development has occurred on the reactive-banana library itself. Most of my efforts have been spent on the threepenny-gui project, which is a library for writing graphical user interfaces in Haskell (→7.7.5).

Fortunately, these development efforts are directly relevant to reactive-banana; graphical user interfaces have always been my main motivation for FRP in the first place. In particular, I have implemented a new FRP module specifically for the threepenny-gui project, and this reimplementation has taught me many valuable lessons, which I hope to reintegrate into reactive-banana soon. The most important lesson is that the current API for reactive-banana is too complex — the type parameter t that indicates starting times just isn’t worth it. I have also learned that recursion is best implemented differently from how I did it before, which leads to a fix for certain situations where reactive-banana couldn’t handle recursion.

Further reading

7.8  Graphics and Audio

7.8.1  diagrams

Report by:Brent Yorgey
Participants:Daniel Bergey, Jan Bracker, Daniil Frumin, Andy Gill, John Lato, Chris Mears, Jeff Rosenbluth, Michael Sloan, Ryan Yates
Status:active development

The diagrams framework provides an embedded domain-specific language for declarative drawing. The overall vision is for diagrams to become a viable alternative to DSLs like MetaPost or Asymptote, but with the advantages of being declarative—describing what to draw, not how to draw it—and embedded—putting the entire power of Haskell (and Hackage) at the service of diagram creation. There is still much more to be done, but diagrams is already quite fully-featured, with a comprehensive user manual, a large collection of primitive shapes and attributes, many different modes of composition, paths, cubic splines, images, text, arbitrary monoidal annotations, named subdiagrams, and more.

What’s new

Since the last HCAR edition, version 0.7 was released in August 2013. New features in 0.7 include:

There have been many improvements and changes to the core diagrams libraries as well. A 1.0 release is planned for on or around November 20, to coincide with Brent’s presentation at the New York Haskell Users’ Group. Features slated for the 1.0 release include:


There is plenty of exciting work to be done; new contributors are welcome! Diagrams has developed an encouraging, responsive, and fun developer community, and makes for a great opportunity to learn and hack on some “real-world” Haskell code. Because of its size, generality, and enthusiastic embrace of advanced type system features, diagrams can be intimidating to would-be users and contributors; however, we are actively working on new documentation and resources to help combat this. For more information on ways to contribute and how to get started, see the Contributing page on the diagrams wiki:, or come hang out in the #diagrams IRC channel on freenode.

Further reading

7.8.2  csound-expression

Report by:Anton Kholomiov
Status:active, experimental

The csound-expression is a library for making electronic music with text. It can render a high level description of the music to Csound files. The Csound is used as an assembler for computer music.

The key aspect of the library is simplicity. A line of code should be enough to define the instrument, connect it to the midi-device and send the output to speakers. There are sensible defaults that allow the user of the library to express the musical ideas with very short sentences. As much as possible is derived from the context. There is a functional model that hides a low level wiring of the instruments. The FRP is used in the interface of the event streams.

There is a library of the cool instruments implemented in terms of the csound-expression primitives. It’s called the csound-catalog (

The library is available on Hackage ( and github (

The future plans include the implementation of the Csound’s GUI and testing of the library in the music applications.

Further reading

7.8.3  Chordify

Report by:José Pedro Magalhães
Participants:W. Bas de Haas, Dion ten Heggeler, Gijs Bekenkamp, Tijmen Ruizendaal
Status:actively developed

Chordify is a music player that extracts chords from musical sources like Soundcloud, Youtube, or your own files, and shows you which chord to play when. The aim of Chordify is to make state-of-the-art music technology accessible to a broader audience. Our interface is designed to be simple: everyone who can hold a musical instrument should be able to use it.

Behind the scenes, we use the sonic annotator for extraction of audio features. These features consist of the downbeat positions and the tonal content of a piece of music. Next, the Haskell program HarmTrace takes these features and computes the chords. HarmTrace uses a model of Western tonal harmony to aid in the chord selection. At beat positions where the audio matches a particular chord well, this chord is used in final transcription. However, in case there is uncertainty about the sounding chords at a specific position in the song, the HarmTrace harmony model will select the correct chords based on the rules of tonal harmony.

The basic functionality of Chordify is free for everyone to use. PDF and MIDI transcriptions of the chords can be obtained for a small fee. As of January 2014, we also have monthly and yearly Premium accounts that add functionality such as organising a library, transposing chords, chord playback, etc. The code for HarmTrace is available on Hackage, and we have ICFP’11 and ISMIR’12 publications describing some of the technology behind Chordify.

Further reading

7.8.4  Glome

Report by:Jim Snow
Status:New Version of Glome Raytracer

Glome is a ray tracer I wrote quite some time ago. The project had been dormant for about five years until a few months ago when I decided to fix some long-standing bugs and get it back into a state that compiles with recent versions of GHC. I got a little carried away, and ended up adding some major new features.

First, some background. Glome is a ray tracer, which renders 3d images by tracing rays from the camera into the scene and testing them for intersection with scene objects. Glome supports a handful of basic primitive types including planes, spheres, boxes, triangles, cones, and cylinders. It also has a number of composite primitives that modify the behavior of other primitives, such as CSG difference and intersection.

One of the more interesting composite primitives is a BIH-based accelleration structure, which sorts primitives into a hierarchy of bounding volumes. This allows for scenes with a very large number of primitives to be rendered efficiently.

Major new changes to Glome are a re-factoring of the shader code so that it is now possible to define textures in terms of user-defined types and write your own shader (though the default should be fine for most uses), a new tagging system, some changes to the front-end viewer application (which uses SDL now instead of OpenGL), and a new triangle mesh primitive type.

Tagging requires a bit of explanation. When a ray intersects with something in the scene, Glome returns a lot of information about the properties of the location where the ray hit, but until recently it didn’t give much of a clue as to what exactly the ray hit. For 3D rendering applications, you don’t usually care, but for many computational geometry tasks you do very much care.

The new tagging system makes it possible to associate any 3D primitive with a tag, such that the tag is returned along with any ray intersection that hit the wrapped primitive. Tags are returned in a list, so that it’s possible to have a heirarchy of tagged objects.

As an example of tags in action, I tagged some of the objects in Glome’s default test scene, and instrumented the viewer so that clicking on the image causes a ray to be traced into the scene from the cursor’s location, and then we print any tags returned by the ray intersection test. (Tags can be any type, but for illustrative purposes, the test scene uses strings.)

An interesting feature of the tagging system is that you don’t necessarily have to click directly on the object to get back the tag; you could also click on the image of the object reflected off of some other shiny object in the scene.

Even though Glome is still a bit too slow for practical interactive 3D applications (I’ve been able to get around 2-3 FPS at 720x480 for reasonably complex scenes on a fairly fast machine), tags should at least make it easier to write interactive applications when Moore’s law catches up.

Glome is split into three packages: GloveVec, a vector library, GlomeTrace, the ray-tracing engine, and GlomeView, a simple front-end viewer application. All are available on hackage or via github under a GPLv2 license.

Further reading

7.9  Text and Markup Languages

7.9.1  epub-tools (Command-line epub Utilities)

Report by:Dino Morelli
Status:stable, actively developed

A suite of command-line utilities for creating and manipulating epub book files. Included are: epubmeta, epubname, epubzip.

epubmeta is a command-line utility for examining and editing epub book metadata. With it you can export, import and edit the raw OPF Package XML document for a given book. Or simply dump the metadata to stdout for viewing in a friendly format.

epubname is a command-line utility for renaming epub ebook files based on the metadata. It tries to use author names and title info to construct a sensible name.

epubzip is a handy utility for zipping up the files that comprise an epub into an .epub zip file. Using the same technology as epubname, it can try to make a meaningful filename for the book.

This project is built on the latest epub-metadata library and so supports epub3 for the first time.

See also epub-metadata (→7.3.1).

epub-tools is available from Hackage and the Darcs repository below.

Further reading

7.9.2  lens-aeson

Report by:Edward Kmett
Participants:Paul Wilson, Benno Fünfstück, Michael Sloan, Adrian Keet
Status:actively developed

This package provides a suite of combinators that wrap around Bryan O’Sullivan’s aeson library using the lens library (→7.1.2) to make many data access and manipulation problems much more succinctly expressable. We provide lenses, traversals, isomorphisms and prisms that conspire to make it easy to manipulate complex JSON objects.

Further reading

7.9.3  hyphenation

Report by:Edward Kmett

This package provides configurable Knuth-Liang hyphenation using the UTF-8 encoded hyphenation patterns for 69 languages, based on the patterns provided by the hyph-utf8 project for LaTeX. It can be mixed with a pretty-printer to provide proper break-points within words.

Further reading

7.10  Natural Language Processing

7.10.1  NLP

Report by:Eric Kow

The Haskell Natural Language Processing community aims to make Haskell a more useful and more popular language for NLP. The community provides a mailing list, Wiki and hosting for source code repositories via the Haskell community server.

The Haskell NLP community was founded in March 2009. The list is still growing slowly as people grow increasingly interested in both natural language processing, and in Haskell.

New packages

Updated packages

At the present, the mailing list is mainly used to make announcements to the Haskell NLP community. We hope that we will continue to expand the list and expand our ways of making it useful to people potentially using Haskell in the NLP world.

Further reading

7.10.2  GenI

Report by:Eric Kow

GenI is a surface realizer for Tree Adjoining Grammars. Surface realization can be seen a subtask of natural language generation (producing natural language utterances, e.g., English texts, out of abstract inputs). GenI in particular takes a Feature Based Lexicalized Tree Adjoining Grammar and an input semantics (a conjunction of first order terms), and produces the set of sentences associated with the input semantics by the grammar. It features a surface realization library, several optimizations, batch generation mode, and a graphical debugger written in wxHaskell. It was developed within the TALARIS project and is free software licensed under the GNU GPL, with dual-licensing available for commercial purposes.

GenI is now mirrored on GitHub, with its issue tracker and wiki and homepage also hosted there. The most recent release, GenI 0.24 (2013-09-18), allows for custom semantic inputs, making it simpler to use GenI in a wider variety for applications. This has recently been joined by a companion geni-util package which offers a rudimentary geniserver client and a reporting tool for grammar debugging.

GenI is available on Hackage, and can be installed via cabal-install, along with its GUI and HTTP server user interfaces. For more information, please contact us on the geni-users mailing list.

Further reading

7.11  Bioinformatics

7.11.1  ADPfusion

Report by:Christian Höner zu Siederdissen
Status:usable, active development

ADPfusion provides a domain-specific language (DSL) for the formulation of dynamic programs with a special emphasis on computational biology. Following ideas established in Algebraic dynamic programming (ADP) a problem is separated into a grammar defining the search space and one or more algebras that score and select elements of the search space. The DSL has been designed with performance and a high level of abstraction in mind.

As an example, consider a grammar that recognizes palindromes. Given the non-terminal p, as well as parsers for single characters c and the empty input e, the production rule for palindromes can be formulated as p ->c p c || e.

The corresponding ADPfusion code is similar:

  (p, f <<< c % p % c ||| g <<< e ... h)

We need a number of combinators as “glue” and additional evaluation functions f, g, and h. With f c1 p c2 = p && (c1=c2) scoring a candidate, g e = True, and h xs = or xs determining if the current substring is palindromic.

As of now, code written in ADPfusion achieves performance close to hand-optimized C, and outperforms similar approaches (Haskell-based ADP, GAPC producing C++) thanks to stream fusion. The figure shows running times for the Nussinov algorithm.

Starting with ADPfusion 0.2, dynamic programs on more than one input sequence can be written. This allows efficient dynamic programs that compute, say, the alignment of two or more inputs. More complicated algorithms of coupled context-free grammars also become possible with this new, multi-dimensional expansion. Together with generalised index spaces, more algorithms can be implemented efficiently, while at the same time reducing the effort required to implement these more complicated algorithms correctly.

Further reading

7.11.2  Ab-initio electronic structure in Haskell

Report by:Alessio Valentini
Participants:Felipe Zapata, Angel Alvarez

We are three friends from Alcala de Henares (Spain), two PhD students in computational chemistry from ResMol group and one sysadmin working at Alcala University computer center. We all share the same passion in programming and after some adventures in Fortran, Bash, Python and Erlang we are now fully committed to Haskell. As PhD students working in this area, every day we face codes that are both difficult to read and improve, with no guidelines and poor documentation.

The set of problems inherent in computational chemistry are mainly due to the theoretical models complexity and the need of reducing as much as possible the computational time, leading to a demand of extremely solid and efficient software. What is happening in the actual context is the result of a poor interface between the two adjoining worlds of chemist and computer science and the necessity of publishing papers and scientific material to raise funds. This usually leads to software hastily developed by a few chemists with only a side-interest in programming and therefore a limited skill set.

The very few software that can be deemed remarkable are usually the result of massive funding, and even those packages are now facing huge problems in terms of parallelization, concurrency and stability of the code. Most of the efforts are spent trying to fix these issues instead of being addressed at developing better code (improve modularity and intelligibility) or new features and new algorithms.

We witness the proliferation of projects that serve no other purpose than to provide a bridge between different software, while the main core of molecular modeling codes, in most cases written in Fortran 77, remains untouched since the eighties.

Our first purpose in this project is to become better at Haskell programming and having fun managing a package that is every day becoming bigger. But we kind of dream of a molecular modeling software that can fully express the great upsides of functional programming. Fewer lines of code, better readability, great parallelization, embedded domain specific languages (EDSL) ... and maybe more efficiency, too !

Ab-initio molecular modeling is a branch of computational chemistry that, for a set of given atoms, solves the Schrödinger equation (the analogous of Newton’s equation in quantum mechanics), with no inclusion of parameters derived from experimental data. In such systems it is quite easy to calculate forces between nuclei but things get tricky when we calculate the potential energy contribution of forces related to electrons. In this case we can adopt a first approximation, the so called Hartree-Fock, that considers the electron-electron repulsion as an average between each electron and the mean field of all the others. This theory is right now the cornerstone of more sophisticated methods, such Multiconfigurational Methods, Mø ller-Plesset Perturbation Theory or Coupled Cluster, and the mathematical models behind its implementation are vastly used throughout the world of computational chemistry.

This package can calculate the Hartree Fock energy of a given molecule geometry and a basis set solving the Roothaan Hall equations through a self consistent field procedure. It uses the Harris Functional as an initial density guess and the DIIS method to greatly improve the convergence.

The entire code is written using the Repa library and focusing our efforts on efficiency, parallelism (speedups vs cores: 2,3 on 4 and 3.5 on 8) and code readability. Using Haskell’s higher order abstraction we are trying to develop an EDSL appropriate for quantum mechanics problems, creating code operators able to fairly mimic the physical ones.

The code is available for download in Felipe’s gitHub page.

A Hartree Fock p orbital in PSB3:

We are currently developing this code in our spare time, working on analytical gradients, on the Prisma algorithm and on a solid eigenvalue problem solver. The aims of this projects are a full Haskell implementation of Multiconfigurational Methods and possibly an integration with our molecular dynamics project.

Further reading

7.11.3  Semi-Classical Molecular Dynamics in Haskell

Report by:Alessio Valentini
Participants:Felipe Zapata, Angel Alvarez

As a first approximation, we can split the world of Molecular Dynamics into three branches: Force Fields, Classical (Semi-Classical) and Quantum Molecular Dynamics. The first approach completely ignores the description of the electrons, and the system is described by a "Balls and Springs" model leading to very cheap calculations that can be performed in big systems.

From a chemical point of view, anyway, this approach often suffers severe drawbacks, since every time an accurate description of electrons is needed (i.e. when studying the formation or breaking of bonds, reations involving excited states, or heavily polarized systems) we cannot rely on pure Classical Mechanics.

On the other side, even if the Quantum Dynamics approach is capable of describing the real quantum behavior of every single electron and nucleus, it comes with a huge increase in computational cost. It is basically unaffordable for systems with more than 5-6 atoms. That’s why we need to take in consideration the Classical and Semi Classical Dynamics, where the system’s forces are calculated using a Quantum method, while the geometry is updated with Classical Mechanics and some ad-hoc formulae to take into account quantum effects.

As PhD students in computational chemistry we often found ourselves in this situation: we have a chemical problem that might appear simple at first, but then it is usually quite difficult to find all the features necessary to tackle it in the same package. It is often the case where software "X" is lacking feature "Z" while software "Y" is missing feature "W".

The possible solutions to this impasse are:

  1. to encode the missing features in the software of choice, a task that can reveal itself as very difficult and time consuming, since most of the time we are dealing with monolithic software written in Fortran, usually quite old and poorly maintained.

  2. to write an external software (i.e. parser/launcher) capable of interact concurrently with several software, which is currently the approach employed in most cases. So much that the vast majority of computational chemists keeps a personal folder that contains just collections of parsers and scripts.

Energies vs time for a two electronic states system:

Our project takes advantage of the exceptional modularity that Haskell offers, and represents our effort to unify in a comprehensive tool all those routines that are needed in our research group to perform Classical and Semi Classical Molecular Dynamics. Our current goal is to keep a robust code and to minimize the need to use external software, limiting their application to the computation of the gradient.

Given some initial conditions and an external program (currently Molcas and Gaussian are supported) capable of calculating the energy gradient, our code is able to parse its log file and perform the whole "Semi-Classical part" of the Molecular Dynamics.

The code employs the Velocity Verlet algorithm to propagate the geometries, the NoséHoover thermostate for a constant temperature bath and the Tully Hammes Schiffer hopping algorithm (along with correction of Persico-Granucci) to take in consideration hops between different electronic states. It also features the possibility to add external forces to the molecule, to simulate constrained conditions that can be found, for example, in a protein binding pocket.

This is still a small project, but we are using it constantly in our research group as a flexible tool for molecular dynamics, waiting for our other project to calculate the ab-initio gradient for us.

Further reading

7.11.4  Biohaskell

Report by:Ketil Malde
Participants:Christian Höner zu Siederdissen, Michal J. Gajda, Nick Ignolia, Felipe Almeida Lessa, Dan Fornika, Maik Riechert, Ashish Agarwal, Grant Rotskoff, Florian Eggenhofer

Bioinformatics in Haskell is a steadily growing field, and the Bio section on Hackage now contains 66 libraries and applications. The biohaskell web site coordinates this effort, and provides documentation and related information. Anybody interested in the combination of Haskell and bioinformatics is encouraged to sign up to the mailing list (currently by emailing <ketil at>Ketil), and to register and document their contributions on the wiki.

This year, we have seen many new developments, including libraries for parsing MEME XML,, working with EEG data, and a client library to run NCBI’s BLAST services. We have also been lucky to recieve one slot in Google’s Summer of Code, where Sarah will work on optimizing the transalign program.

Further reading

7.11.5  arte-ephys: Real-time electrophysiology

Report by:Greg Hale
Participants:Alex Chen
Status:work in progress

Arte-ephys is a soft real-time neural recording system for experimental systems neuroscientists.

Our lab uses electrode arrays for brain recording in freely moving animals, to determine how these neurons build, remember, and use spatial maps.

We previously recorded and analyzed our data in two separate stages. We are now building a recording system focused on streaming instead of offline analysis, for real-time feedback experiments. For example, we found that activity in the brain of resting rats often wanders back to representations of specific parts of a recently-learned maze, and we would now like to automatically detect these events and reward the rat immediately for expressing them, to see if this influences either the speed of learning of a specific part of the maze or the nature of later spatial information coding.

We now have a proof-of-concept that streams recorded data from disk, performs the necessary preprocessing, and accurately decodes neural signals in realtime, while drawing the results with gloss. Our next goal is to integrate this into a sytem that streams raw neural data during the experiment.

Further reading

7.12  Embedding DSLs for Low-Level Processing

7.12.1  Feldspar

Report by:Emil Axelsson
Status:active development

Feldspar is a domain-specific language for digital signal processing (DSP). The language is embedded in Haskell and is currently being developed by projects at Chalmers University of Technology (→9.7), SICS Swedish ICT AB and Ericsson AB.

The motivating application of Feldspar is telecoms processing, but the language is intended to be useful for DSP in general. The aim is to allow DSP functions to be written in pure functional style in order to raise the abstraction level of the code and to enable more high-level optimizations. The current version consists of an extensive library of numeric and array processing operations as well as a code generator producing C code for running on embedded targets.

At present, Feldspar can express the data-intensive numeric algorithms which are at the core of any DSP application. There is also support for the expression and compilation of parallel algorithms. As future work remains to extend the language to deal with interaction with the environment (e.g., processing of streaming data) and to support compilation to heterogeneous multi-core targets.

Further reading

7.12.2  Kansas Lava

Report by:Andy Gill
Participants:Bowe Neuenschwander

Kansas Lava is a Domain Specific Language (DSL) for expressing hardware descriptions of computations, and is hosted inside the language Haskell. Kansas Lava programs are descriptions of specific hardware entities, the connections between them, and other computational abstractions that can compile down to these entities. Large circuits have been successfully expressed using Kansas Lava, and Haskell’s powerful abstraction mechanisms, as well as generic generative techniques, can be applied to good effect to provide descriptions of highly efficient circuits.

Further reading

7.13  Others

7.13.1  General framework for multi-agent systems

Report by:Nickolay Kudasov

The goal is to create a general framework for developing and testing of multi-agent systems. That includes general representation for multi-agent systems as well as library implementations for well-known agent models, distributed algorithms and communication and coordination patterns.

Notions of agent and environment are separated with the help of free monads. Agent-environment interface is defined by an underlying functor.

The basic representation of agent and environment has been chosen and tested for an agent-based distributed graph coloring problem.

The concrete implementation is being revised frequiently and thus is not very stable.

Implementations for some general distributed algorithms (ABT, DBA, etc.) will be available shortly.

Further reading

7.13.2  ersatz

Report by:Edward Kmett
Participants:Johan Kiviniemi, Iain Lane

Ersatz is a library for generating QSAT (CNF/QBF) problems using a monad. It takes care of generating the normal form, encoding your problem, marshaling the data to an external solver, and parsing and interpreting the result into Haskell types.

What differentiates Ersatz from other SAT bindings is the use of observable sharing in the API.

This enables you to use the a much richer subset of Haskell than the purely monadic meta-language, and it becomes much easier to see that the resulting encoding is correct.

Support is offered for decoding various Haskell datatypes from the solution provided by the SAT solver.

A couple of examples are included with the distribution. Neither are as fast as a dedicated solver for their respective domains, but they showcase how you can solve real world problems involving 10s or 100s of thousands of variables and constraints.

Further reading

7.13.3  FNIStash

Report by:Daniel Austin

FNIStash is a utility application for the PC game Torchlight 2 (TL2). It presents a graphical interface to allow the user to manipulate the game’s inventory stash files, store/retrieve items in a database external to the game, search the item database by key phrase(s), and generates reports identifying which items have yet to be found. The project began at the end of 2012 and first release was in Sept 2013. Several subsequent releases have been made to fix bugs and implement requests from users.

FNIStash is configured by modifying a file to point to TL2’s game asset pack and save files. At first time start up, many of the game’s graphical and interface assets are decompressed from the asset pack and written to disk using the DevIL bindings. The save files are descrambled and parsed using logic that was backwards-engineered by the author, and each item is registered in an SQLite3 database file for efficient searching and storage. The GUI presented to the user utilizes the threepenny-gui package (→7.7.5). A web backend runs in a console window and users interact with the GUI through their web browser. The decision to use threepenny-gui was motivated by the need to easily set up, build, and deploy a GUI on the Windows platform. A video demo of the first release is available on the homepage.

FNIStash was originally conceived as an exercise to learn Haskell by building a program that is actually useful instead of fruitlessly reading journal papers and reddit posts. The experience was highly challenging, educational, and enjoyable.

Further reading (with demo)

7.13.4  arbtt

Report by:Joachim Breitner

The program arbtt, the automatic rule-based time tracker, allows you to investigate how you spend your time, without having to manually specify what you are doing. arbtt records what windows are open and active, and provides you with a powerful rule-based language to afterwards categorize your work. And it comes with documentation!

Since the last report, version 0.8 was released, with many improvements to getting machine-readable data out of arbtt. Also, the community on the mailinglist list has grown noticable. Arbtt now has a proper issue tracker (on bitbucket) and a test suite (tested on Travis-CI).

Further reading

7.13.5  Hoodle

Report by:Ian-Woo Kim
Status:Actively Developing

Hoodle is a pen-notetaking programing written in haskell using Gtk2hs. The name Hoodle is from Haskell + doodle.

This project first started as making a haskell clone of Xournal, a notetaking program developed in C. But now Hoodle has more unique features, as well as basic pen notetaking function. Pen input is directly fed into from X11 events, which has sub-pixel level accuracy for the case of wacom tablets. Therefore, the resultant pen strokes are much smoother than other similar open-source programs such as Jarnal and Gournal.

Hoodle can be used for annotation on PDF files, and also supports importing images of PNG, JPG and SVG types, and exporting Hoodle documents to PDF. One of the most interesting features is “linking”: each Hoodle document can be linked with each other by simple drag-and-drop operations. Then, the user can navigate linked Hoodle documents as we do in web browser. Another interesting feature is that one can edit a document in split views, so that a long Hoodle document can be easily edited. Hoodle can embed LaTeXtexts and the embedded text can be edited via network.

GUI programming is in general tightly tied into a GUI framework. Since most frameworks rely on callbacks for event processing, program logic is likely to be scattered in many callback functions. We cure this situation by using coroutines. In haskell, coroutine can be implemented in a straightforward way without relying on specific language feature. This abstraction enable us to reason through the program logic itself, not through an inverted logic in a GUI framework.

Hoodle is being very actively developed as an open-source project hosted on Github. The released versions are located on Hackage, and it can be installed by simple cabal install. On Linux, OS X, and Windows systems with Gtk2hs and Poppler, Hoodle can be installed without problems. Recently, it is packaged for NixOS. Making a Hoodle binary package for other linux distributions, OS X and window is planned.

The development focus as of now is to have more flexible link features (link to arbitrary position of a document) and an internal database for document management. Hoodle manages documents with a unique UUID, but it does not have a good internal database yet. This feature can also be extended to saving Hoodle documents in cloud storage in a consistent way. Refining rendering with appropriate GPU acceleration is also planned. In the long run, we plan to support mobile platforms.

Further reading

7.13.6  Reffit

Report by:Greg Hale
Status:work in progress

Reffit is a Snap website for collecting and organizing short comments on peer reviewed papers, blog posts, and videotaped talks. We hope to attract a community and foster a culture of open discussion of papers, with a lighthearted attitude, informality, and gamification.

Further reading

7.13.7  Laborantin

Report by:Lucas DiCioccio
Status:Working, development for new features

Conducting scientific experiments is hard. Laborantin is a DSL to run and analyze scientific experiments. Laborantin is well-suited for experiments that you can run offline such as benchmarks with many parameters.

Laborantin encourages users to express experiments parameters, experiment results, as well as execution, startup, and teardown procedures in a methodical manner. For instance, the following snippet defines a network ‘ping’ experiment with a destination and packet-size parameters.

Unknown begin: \begin{scriptsize}

Laborantin also lets users express dependencies between experiments. Laborantin is designed to allow multiple backend (where to run and store experiments) and multiple frontends (how a user interacts with Laborantin). The current backend stores experiment results on the filesystem and provides a command line frontend.

Contributions are welcome. In the future, we plan to enrich Laborantin with helper modules for common tasks such as starting and collecting outputs of remote processes, reformatting results, and generating plots (e.g., with Diagrams). Laborantin would also benefit from new backends (e.g., to store results in an SQL database or HDFS) and new frontends (e.g., an integration in IHaskell).

Further reading

7.13.8  The Amoeba-World game project

Report by:Alexander Granin
Status:work in progress

In functional programming, there is a serious problem: there are no materials for the development of large applications. As we know, this field is well studied for imperative and object-oriented languages. There are books on design, architecture, design patterns and modeling practices. But we have no idea how this big knowledge can be adapted to functional languages.

I’m working on a game called “The Amoeba World”. The goal of this project is to explore approaches to the development of large applications on Haskell. The results of my research are some articles which will be used to compose a book about functional design and architecture. Currently two articles are written out of the planned four (in Russian, but the articles will be translated to English soon). The first highlights the issue of whether the mainstream knowledge of architecture is applicable to the functional paradigm and what tools can be used for designing of architecture. It shows that the UML is ill-suited for the functional paradigm and the architecture is constructed using mind maps and concept cards. The second article talks about a low-level design of the application using the language Haskell. It has a theoretical part named what makes a good design, but there is also practical part describing of the some anti-patterns in Haskell. The third article is under development now. In it, the application design based on properties and scenarios is researched. The fourth article will be discussing the use of FRP.

Code of the game “The Amoeba World” should be written well to be a good example of the design concepts. These concepts are: using DSL, parsing, layering, using lenses, Inversion of Control, testing, FRP, SDL, usefulness of monads. The overall architecture of the game looks as follows:

At the moment, the game logic has been rewritten twice. The draft of game logic is ready. A special file format ’ARF’ (Amoeba Raw File) for the game objects is done. Parsec is used for parsing, and a custom safe translator is written, which works on rules. Now I’m are working on a Application Layer. Settings loading is done. A primitive renderer for the game world is created. A draft game cycle and IO event handler from SDL subsystem is done by using Netwire FRP library. The next objectives are to add an interaction within the game world and then move to the execution of scenarios on game objects.

Further reading

8  Commercial Users

8.1  Well-Typed LLP

Report by:Andres Löh
Participants:Duncan Coutts

Well-Typed is a Haskell services company. We provide commercial support for Haskell as a development platform, including consulting services, training, and bespoke software development. For more information, please take a look at our website or drop us an e-mail at <info at>.

We are working for a variety of commercial clients, but naturally, only some of our projects are publicly visible.

Austin has been working hard to help get GHC-7.8 released.

On behalf of the Industrial Haskell Group (IHG) (→8.3), we are currently working on tasks related to Hackage 2 and Cabal.

We continue to be involved in the community, maintaining several packages on Hackage and giving talks at a number of conferences. Some of our recent projects are available online, such as for example Edsko’s ghc-events-analyze tool, or Adam’s talk about overloaded record fields in Haskell (links below).

We are continuing to offer training services. We offer regular courses in London (the next course dates are in July and in October), and on-demand on-site training courses elsewhere as well.

We are of course always looking for new clients and projects, so if you have something we could help you with, just drop us an e-mail.

Further reading

8.2  Bluespec Tools for Design of Complex Chips and Hardware Accelerators

Report by:Rishiyur Nikhil
Status:commercial product

Bluespec, Inc. provides an industrial-strength language (BSV) and tools for high-level hardware design. Components designed with these are shipping in some commercial smartphones and tablets today.

BSV is used for all aspects of ASIC and FPGA design — specification, synthesis, modeling, and verification. All hardware behavior is expressed using rewrite rules (Guarded Atomic Actions). BSV borrows many ideas from Haskell — algebraic types, polymorphism, type classes (overloading), and higher-order functions. Strong static checking extends into correct expression of multiple clock domains, and to gated clocks for power management. BSV is universally applicable, from algorithmic “datapath” blocks to complex control blocks such as processors, DMAs, interconnects, and caches.

Bluespec’s core tool synthesizes (compiles) BSV into high-quality Verilog, which can be further synthesized into netlists for ASICs and FPGAs using third-party tools. Atomic transactions enable design-by-refinement, where an initial executable approximate design is systematically transformed into a quality implementation by successively adding functionality and architectural detail. The synthesis tool is implemented in Haskell (well over 100K lines).

Bluesim is a fast simulation tool for BSV. There are extensive libraries and infrastructure to make it easy to build FPGA-based accelerators for compute-intensive software, including for the Xilinx XUPv6 board popular in universities, and the Convey HC-1 high performance computer.

BSV is also enabling the next generation of computer architecture education and research. Students implement and explore architectural models on FPGAs, whose speed permits evaluation using whole-system software.

Status and availability

BSV tools, available since 2004, are in use by several major semiconductor and electronic equipment companies, and universities. The tools are free for academic teaching and research.

Further reading

8.3  Industrial Haskell Group

Report by:Andres Löh

The Industrial Haskell Group (IHG) is an organization to support the needs of commercial users of Haskell.

The main activity of the IHG is to fund work on the Haskell development platform. It currently operates two schemes:

Projects the IHG has funded in the past years include work on Hackage 2, Cabal and cabal-install, and GHC itself.

Details of the tasks undertaken by the IHG are appearing on the Well-Typed (→8.1) blog, on the IHG status page and on standard communication channels such as the Haskell mailing list.

In the past six months, three new associate members have joined the IHG: Jon Kristensen, alephcloud and OTAS Technologies.

The collaborative development scheme is running continuously, so if you are interested in joining as a member, please get in touch. Details of the different membership options (full, associate, or academic) can be found on the website.

We are very interested in new members. If you are interested in joining the IHG, or if you just have any questions or comments, please drop us an e-mail at <info at>.

Further reading

8.4  Barclays Capital

Report by:Ben Moseley

Barclays Capital has been using Haskell as the basis for our FPF (Functional Payout Framework) project for about seven years now. The project develops a DSL and associated tools for describing and processing exotic equity options. FPF is much more than just a payoff language — a major objective of the project is not just pricing but “zero-touch” management of the entire trade lifecycle through automated processing and analytic tools.

For the first half of its life the project focused only on the most exotic options — those which were too complicated for the legacy systems to handle. Over the past few years however, FPF has expanded to provide the trade representation and tooling for the vast majority of our equity exotics trades and with that the team has grown significantly in both size and geographical distribution. We now have eight permanent full-time Haskell developers spread between Hong Kong, Kiev and London (with the latter being the biggest development hub).

Our main front-end language is currently a deeply embedded DSL which has proved very successful, but we have recently been working on a new non-embedded implementation. This will allow us to bypass some of the traditional DSEL limitations (e.g., error messages and syntactical restrictions) whilst addressing some business areas which have historically been problematic. The new language is based heavily on arrows, but has a custom (restrictive but hopefully easier-to-use than raw arrow-notation) syntax. We are using a compiler from our custom DSL syntax into Haskell source (with standard transformers from Ross Paterson’s “arrows” package) to provide the semantics for the language but plan to develop a number of independent backends. Our hope is that, over time, this will gradually replace our embedded DSL as the front end for all our tools. For the parsing part of this work we have been very impressed by Doaitse Swierstra’s uu-parsinglib (→7.3.2).

We have been and remain very satisfied GHC users and feel that it would have been significantly harder to develop our systems in any other current language.

8.5  Oblomov Systems

Report by:Martijn Schrage

Oblomov Systems is a one-person software company based in Utrecht, The Netherlands. Founded in 2009 for the Proxima 2.0 project (, Oblomov has since then been working on a number of Haskell-related projects. The main focus lies on web-applications and (web-based) editors. Haskell has turned out to be extremely useful for implementing web servers that communicate with JavaScript clients or iPhone apps.

Awaiting the acceptance of Haskell by the world at large, Oblomov Systems also offers software solutions in Java, Objective C, and C#, as well as on the iPhone/iPad. Last year, Oblomov Systems has worked together with Ordina NV on a substantial Haskell project for the Council for the Judiciary in The Netherlands.

Further reading

8.6  OpenBrain Ltd.

Report by:Tom Nielsen

OpenBrain Ltd. is developing a new platform for statistical computing that enables optimal decisions taking into account all the available information. We have developed a new statistical programming language (BAYSIG) that augments a Haskell-like functional programming language with Bayesian inference and first-class ordinary and stochastic differential equations. BAYSIG is designed to support a declarative style of programming where almost all the work consists in building probabilistic models of observed data. Data analysis, risk assessment, decision, hypothesis testing and optimal control procedures are all derived mechanically from the definition of these models. We are targeting a range of application areas, including financial, clinical and life sciences data.

We are building a web application ( to make this platform accessible to a wide range of users. Users can upload and analyse varied types of data using a point-and-click interface. Models and analyses are collected in literate programming-like documents that can be published by users as blogs.

We use Haskell for almost all aspects of implementing this platform. The BAYSIG compiler is written in Haskell, which is particularly well suited for implementing the recursive syntactical transformations underlying statistical inference. is being developed in Yesod.


<tomn at>

Further reading

8.7  Pariah Reputation System

Report by:Jim Snow
Participants:Jim Snow, Daniel Connor
Status:A new kind of reputation system for online communities

Metamocracy LLC is develping social network analysis tools to be used in online communities.

Our main product is Pariah, a reputation system. It takes as input a signed directed graph where the links represent trust or distrust relationships between users, and analyzes the graph structure to compute a reputation for any user from the point of view of any other user.

There are a few interesting things about Pariah; we treat reputation as inherently subjective (you can have a good reputation from one user’s point of view, and a bad reputation from someone elses), we have a sensible interpretation of negative reputation, and our system is resistant to ballot-stuffing attacks.

Pariah is written in Haskell, and has a REST interface implemented using Yesod.

An interesting offshoot of our reputation system work is a demo site called, which is a collaborative tool for documenting all the little connections (whether positive or negative) between public figures, organizations, corporations, etc…It is built on top of Acid-state and Yesod, with a little bit of javascript to query Pariah and visually display reputations of entities.

Pariah is commercial software. The software behind is available under the GPLv2 license, and is available on github.

Currently, we’re trying to put together a paper describing the algorithm we use.

Further reading

8.8  Haskell in the industry in Munich

Report by:Haskell Consultancy Munich

Haskell is used by several companies specializing in the development of reliable software and hardware, for example for the automotive industry in Munich. It is also in use by the developers of medical software which needs assure the integrity of data processing algorithms. It is also used by new media and internet companies. You may contact the author of this report (<haskell.consultancy at>) for details.

Haskell at Google Munich

Google is using Haskell in Ganeti (, a tool for managing clusters of virtual servers built on top of Xen and KVM. There is a mailing list ( which is the official contact to the team.

There are lots of presentations about Ganeti online (, and some of them are accompanied by videos to be found with a quick search on the internet.

Energy Flow Analysis – Ingenieurbüro Guttenberg & Hördegen

The Engineering Office provides services and tools to companies designing and operating smart systems with energy management: Smart Grids, Smart Houses, Smart Production, and so on. Smart systems are complex: efficiency is only one aspect in a challenging system design. We want to make measurement and optimisation of overall system efficiency as comfortable and easy as possible. The objective is to provide support in choosing between system functionality, performance, safety, and reliability as well as energy efficiency. We provide a support service for the whole development chain, starting with specification, through system design and simulation to system implementation and validation. The advantage of our approach is that we can directly model, investigate and optimise energy flow. This opens new possibilities, such as better optimisation of efficiency, operation, and design for local grids containing electrochemical storage, thermal storage, heat pumps, block heat and power units and so on.

Since it combines good performance and parallelization features while providing a very high level of assurance, we have chosen to execute our technology with Haskell.

For more information, please visit There is an introductory document to the services provided (

Informatik Consulting Systems AG

ICS AG (, with 11 offices in Germany, use Haskell for their software, as it is a good fit for their domain, which is simulation, safety, and business-critical systems. It affords ICS a competitive edge over the market. Industries ICS work with include advanced technologies, automotive, industrial solutions, and transportation and they have an impressive list of customers (

Haskell Consultancy Munich

The author of this report runs a Haskell consultancy. Established in 2008, the business provides full-stack support for industries ranging from finance and media to medical and electronics design and automation, with a permanent focus on functional programming. We have a strong background in statistics and operations research. The current trend in the industry is the migration of monolithic legacy software in C, C#, Python, Java, or PHP towards a functional, service-oriented architecture, with on-site training of personnel in the new programming paradigm. Another trend is design of hard realtime applications for industrial use. Further information can be requested via email (<haskell.consultancy at>).

Funktionale Programmierung – Dr. Heinrich Hördegen

Funktionale Programmierung - Dr. Heinrich Hördegen ( is a Haskell and functional programming software consultancy located in Munich.

Dr. Hördegen has a lot of experience in software engineering and has been an advocate of functional programming since 2005. It follows that during his doctoral thesis at the LORIA ( he was able to design and implement compiler modules for the AVISPA project ( using OCaml.

Dr. Hördegen has been using Haskell as his main technology to implement robust and reliable software since 2009. In his role co-founder and CTO of Ingenieurbüro Guttenberg & Hördegen ( he leads the development of proprietary software for energy flow analysis. This complex system is comprised of 50000 lines of code, distributed into 130 modules.

Some of Dr. Hördegen’s favourite things about Haskell are algebraic data types, which simplify symbolic computation, the amazing speed Haskell can provide during number crunching, the powerful parallelization capabilities Haskell provides, and finally Cloud Haskell, which lets you easily distribute computations onto whole clusters.

Dr. Hördegen’s consultancy sponsors and organizes the Haskell Meetup ( and supports the Haskell community as a whole.

codecentric AG

Here at codecentric (, we believe that more than ever it’s important to keep our tools sharp in order to provide real value to our customers. The best way to do this is to provide software expertise and an environment in which people can freely express their ideas and develop their skills. One of the results is codecentric Data Lab, where mathematicians, data scientists and software developers join forces to live up to the big data hype. Another is the Functional Institute (, which helps to spread the word about functional programming with Clojure and Haskell.

We provide services in functional programming in Clojure and Haskell as well as services for Big Data projects, ranging from project support and knowledge sharing to bespoke software development and project management. We are over 200 employees strong in 10 offices around Germany and Europe. You may contact Alex Petrov (<alex.petrov at>) with any enquiries.

9  Research and User Groups

9.1  Haskell at Eötvös Lorand University (ELTE), Budapest

Report by:PALI Gabor Janos


There are many different courses on Haskell that run at Eötvös Lorand University, Faculty of Informatics. We are also happy to add that Jeff Epstein (known for Cloud Haskell) has recently joined our team.

Currently, we are offering the following courses using Haskell:

Other Haskell-related courses on Lambda Calculus, Type Theory and Implementation of Functional Languages, taught for Hungarian MSc students in Software Technology.

There is an interactive online evaluation and testing system, called ActiveHs. It contains several dozens of systematized exercises and it may be also used as a teaching aid. Some of our course materials are available there in English as well.

In February, we have also launched a new online assignment management system, called bead, which is implemented almost entirely in Haskell, using the Snap web framework and Fay. It helps the lecturers to schedule course assignments and tests, and automatically check the submitted solutions as an option. This is currently in a work-in-progress stage so it is not available on Hackage yet, only on GitHub, but so far it performs well in combination with ActiveHs.

Further reading

9.2  Artificial Intelligence and Software Technology at Goethe-University Frankfurt

Report by:David Sabel
Participants:Conrad Rau, Manfred Schmidt-Schauß

Semantics of Functional Programming Languages. Extended call-by-need lambda calculi model the semantics of Haskell. Our investigations of those calculi include correctness of strictness analysis using abstract reduction, equivalence of the call-by-name and call-by-need semantics, completeness of applicative bisimilarity w.r.t. contextual equivalence, and unsoundness of applicative bisimilarity in nondeterminstic languages with letrec. We also have shown that any semantic investigation of Haskell should include the seq-operator, since extending the lazy lambda calculus by seq is not conservative, i.e. the semantics changes. A recent result is an analysis of a polymorphically typed core language of Haskell which uses System F-polymorphism.

Another result is that deciding (extended) alpha-equivalence in languages with bindings (like letrec) is graph isomorphism complete. However, if the expressions are free of garbage (i.e. have no unused bindings) the problem can be solved efficiently.

Concurrency. We analyzed a higher-order functional language with concurrent threads, monadic IO, synchronizing variables and concurrent futures which models Concurrent Haskell. We proved correctness of program transformations, correctness of an abstract machine, and we have shown that this language conservatively extends the pure core language of Haskell, i.e. all program equivalences for the pure part also hold in the concurrent language. Recently, we proved correctness of a highly concurrent implementation of Software Transactional Memory (STM) in a similar program calculus. Based on these result we recently developed an alternative implementation of STM Haskell which performs quite early conflict detection.

Correctness of Program Transformations. An ongoing project aims at automating correctness proofs of program transformations. To compute so-called forking and commuting diagrams we implemented a sound and complete algorithm as a combination of several unification algorithms in Haskell. To conclude the correctness proofs we automated the corresponding induction proofs (which use the diagrams) using automated termination provers for term rewriting systems.

Grammar based compression. This research topic focuses on algorithms on grammar compressed data like strings, matrices, trees, &hellp;. Our goal is to reconstruct known algorithms on uncompressed data (e.g. unification, matching, matrix operations, etc.) for their use on grammars without prior decompression. We implemented several of those algorithms in Haskell.

Further reading

9.3  Functional Programming at the University of Kent

Report by:Olaf Chitil

The Functional Programming group at Kent is a subgroup of the Programming Languages and Systems Group of the School of Computing. We are a group of staff and students with shared interests in functional programming. While our work is not limited to Haskell, we use for example also Erlang and ML, Haskell provides a major focus and common language for teaching and research.

Our members pursue a variety of Haskell-related projects, several of which are reported in other sections of this report. Three new PhD students joined the group last September. Stephen Adams is working on advanced refactoring of Haskell programs. Andreas Reuleaux is working on refactoring dependently typed functional programs. Maarten Faddegon is working on making tracing for Haskell practical and easy to use. Currently he is looking into extending the Haskell object observation debugger Hood. He talks at TFP 2014 about Type Generic Observing ( Kanae Tsushima, research fellow of the Japan Society for the Promotion of Science, visited from September 2013 to February 2014. She worked with Olaf Chitil on type error debugging and Kanae presented a joint paper “Enumerating Counter-Factual Type Error Messages with an Existing Type Checker” at PPL 2014. Earlier Olaf Chitil refactored/reimplemented Hat to use standard Hackage libraries. Scott Owens is working on verified compilers for the (strict) functional language CakeML.

We are always looking for more PhD students. We are particularly keen to recruit students interested in programming tools for verification, tracing, refactoring, type checking and any useful feedback for a programmer. The school and university have support for strong candidates: more details at or contact any of us individually by email.

We are also keen to attract researchers to Kent to work with us. There are many opportunities for research funding that could be taken up at Kent, as shown in the website Please let us know if you’re interested in applying for one of these, and we’ll be happy to work with you on this.

Finally, if you would like to visit Kent, either to give a seminar if you’re passing through London or the UK, or to stay for a longer period, please let us know.

Further reading

9.4  Formal Methods at DFKI and University Bremen and University Magdeburg

Report by:Christian Maeder
Participants:Mihai Codescu, Christoph Lüth, Till Mossakowski
Status:active development

The activities of our groups center on formal methods, covering a variety of formal languages and also translations and heterogeneous combinations of these.

We are using the Glasgow Haskell Compiler and many of its extensions to develop the Heterogeneous tool set (Hets). Hets is a parsing, static analysis and proof management tool incorporating various provers and different specification languages, thus providing a tool for heterogeneous specifications. Logic translations are first-class citizens.

The languages supported by Hets include the CASL family, such as the Common Algebraic Specification Language (CASL) itself (which provides many-sorted first-order logic with partiality, subsorting and induction), HasCASL, CoCASL, CspCASL, and an extended modal logic based on CASL. Other languages supported include propositional logic, QBF, Isabelle, Maude, VSE, TPTP, THF, FPL (logic of functional programs), LF type theory and still Haskell (via Programatica). More recently, ontology languages like OWL, RDF, Common Logic, and DOL (the distributed Ontology, Model and Specification language) have been integrated.

Hets can speak to the following provers:

The user interface of the Hets implementation (about 200K lines of Haskell code) is based on some Haskell sources such as bindings to uDrawGraph (formerly Davinci) and Tcl/TK that we maintain and also gtk2hs (→7.7.3). Additionally we have a command line interface and a prototypcial web interface based on warp (→5.2.2) with a RESTful API.

HasCASL is a general-purpose higher-order language which is in particular suited for the specification and development of functional programs; Hets also contains a translation from an executable HasCASL subset to Haskell. There is a prototypical translation of a subset of Haskell to Isabelle/HOL.

Further reading

9.5  Haskell in Romania

Report by:Mihai Maruseac

In Romania, Haskell is taught at several universities across the country: in Bucharest at both University POLITEHNICA of Bucharest and University of Bucharest, in Bacau at “Vasile Alecsandri” University, in Braçov at “Transilvania” University, …. However, everywhere the courses are only centered on the theoretical aspects of functional programming and (sometimes) type systems. As a result, very few students will use this language after the exam is taken.

However, small communities are created to promote the language. That was the case of the Ro/Haskell group from Bacau or FPBucharest group. Right now, almost all of these groups have stopped being active.

The main reason behind these failures is that the point of view in presenting the language is too deeply concerned with presenting its features and the purely functional aspect while hiding away the fact that you have to do some IO in real world applications. Basically, every activity of the previous groups and the subjects taught at universities regard Haskell only as a laboratory language.

A small group of people from Faculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, decided last year to change that. The new teachers and teaching assistants from the Programming Paradigm course organised the first “Functional Programming Summer School” in June 2012 where a few real-world topics were presented among more theoretical aspects.

This year, a small subgroup of the ROSEdu ( community developed on the feedback from the summer school and created a plan towards making Haskell a known and usable language with a community around it. There were talks on Yesod and GHC at different events (OSOM, Talks by Softbinator) or companies (IXIA), some new projects were launched – some of them being turned into bachelor or masters diploma projects – and an workshop called “Programming Haskell from N00b to Real World Programmer” was organized in June, during ROSEdu Summer Workshops ( At the end of the workshop the students implemented IRC bots and Pacman-like games with a graphical interface and some dummy AI. Finally, some articles were published in the "Today Software Magazine" ( monthly magazine. This has prompted some Haskell-related hackathons at an byweekly Agile event called "Code and Beer".

But one of the major results of these activities is that the awareness of Haskell in Romanian communities has increased, leading to the launch of three small startup companies in Romanian towns.

9.6  fp-syd: Functional Programming in Sydney, Australia

Report by:Erik de Castro Lopo
Participants:Ben Lippmeier, Shane Stephens, and others

We are a seminar and social group for people in Sydney, Australia, interested in Functional Programming and related fields. Members of the group include users of Haskell, Ocaml, LISP, Scala, F#, Scheme and others. We have 10 meetings per year (Feb–Nov) and meet on the third (usually, sometimes fourth) Wednesday of each month. We regularly get 20–30 attendees, with a 70/30 industry/research split. Talks this year have included material on compilers, theorem proving, type systems, Haskell web programming, Haskell database libraries, Scala and the Free Monad. We usually have about 90 mins of talks, starting at 6:30pm, then go for drinks afterwards. All welcome.

Further reading

9.7  Functional Programming at Chalmers

Report by:Jean-Philippe Bernardy

Functional Programming is an important component of the CSE department at Chalmers and University of Gothenburg. In particular, Haskell has a very important place, as it is used as the vehicle for teaching and numerous research projects. Besides functional programming, language technology, and in particular domain specific languages is a common aspect in our projects. We also hope to see all HCAR readers at ICFP 2014 in Gothenburg the first week of September! (Paper submissions due Saturday, 1 March 2014.)

Property-based testing.QuickCheck, developed at Chalmers, is one of the standard tools for testing Haskell programs. It has been ported to Erlang and used by Ericsson, Quviq, and others. QuickCheck continues to be improved and tools and related techniques are developed:

Parsing: BNFC. The BNF Converter (BNFC) is a frontend for various parser generators in various languages. BNFC is written in Haskell and is commonly used as a frontend for the Haskell tools Alex and Happy. BNFC has recently been extended in two directions:

Parsing: Combinators. A new package for combinator-based parsing has been released on Hackage. The combinators are based on the paper Parallel Parsing Processes. The technique is based on parsing in parallel all the possibly valid alternatives. This means that the parser never “hold onto” old input. A try combinator is also superfluous.

Parsing: Natural languages.Grammatical Framework is a declarative language for describing natural language grammars. It is useful in various applications ranging from natural language generation, parsing and translation to software localization. The framework provides a library of large coverage grammars for currently fifteen languages from which the developers could derive smaller grammars specific for the semantics of a particular application.

Generic Programming.Starting with Polytypic Programming in 1995 there is a long history of generic programming research at Chalmers. Recent developments include fundamental work on parametricity. This work has led to the development of a new kind of abstraction, to generalize notions of erasure. This means that a new kind of generic programming is available to the programmer. A paper describing the idea was presented in ICFP 2013.

Our research on generic-programming is lively, as witnessed by a constant stream of publications: Testing Type Class Laws, Functional Enumeration of Algebraic Types (FEAT), Testing versus proving in climate impact research and Dependently-typed programming in scientific computing — examples from economic modelling. The last two are part of our effort to contribute to the emerging research programme in Global Systems Science.

Program Inversion/bidirectionalization. Program transformation systems that generate pairs of programs that are some sort of inverses of each other. The pairs are guaranteed to be consistent by construction with respect to certain laws. Applications include pretty-printing/parsing ??, XML transformation etc. The work is done in collaboration with University of Tokyo and University of Bonn.

Language-based security.SecLib is a light-weight library to provide security policies for Haskell programs. The library provides means to preserve confidentiality of data (i.e., secret information is not leaked) as well as the ability to express intended releases of information known as declassification. Besides confidentiality policies, the library also supports another important aspect of security: integrity of data. SecLib provides an attractive, intuitive, and simple setting to explore the security policies needed by real programs.

Type theory.Type theory is strongly connected to functional programming research. Many dependently-typed programming languages and type-based proof assistants have been developed at Chalmers. The Agda system (→4.1) is the latest in this line, and is of particular interest to Haskell programmers. We encourage you to experiment with programs and proofs in Agda as a “dependently typed Haskell”.

Embedded domain-specific languages.The functional programming group has developed several different domain-specific languages embedded in Haskell. The active ones are:

We are also working on general methods for EDSL development:

Automated reasoning.We are responsible for a suite of automated-reasoning tools:

Teaching.Haskell is present in the curriculum as early as the first year of the BSc programme. We have four courses solely dedicated to functional programming (of which three are MSc-level courses), but we also provide courses which use Haskell for teaching other aspects of computer science, such the syntax and semantics of programming languages, compiler construction, data structures and parallel programming.

9.8  Functional Programming at KU

Report by:Andy Gill

Functional Programming continues at KU and the Computer Systems Design Laboratory in ITTC! The System Level Design Group (lead by Perry Alexander) and the Functional Programming Group (lead by Andy Gill) together form the core functional programming initiative at KU. There are three major Haskell projects at KU (as well as numerous smaller ones): the GHC rewrite plugin HERMIT (→7.3.4), the VHDL generator Kansas Lava (→7.12.2) and the JavaScript generator Sunroof (→5.2.7).

Further reading

9.9  Odessa Haskell User Group

Report by:Roman Cheplyaka

Odessa Haskell User Group was founded in May 2012.

Since October 2013 we’ve had a series of monthly meetups hosted by DataArt (, with lectures on different aspects of Haskell programming.

In January 2014 it was decided to suspend our regular meetups due to the complicated and dangerous situation in Ukraine.

With Russia still threatening Ukraine, our country hasn’t quite returned to the peaceful state of 2013, but we’re looking forward to resuming the meetings.

Further reading (in Russian)

9.10  Regensburg Haskell Meetup

Report by:Andres Löh

Since autumn 2014 Haskellers in Regensburg, Bavaria, Germany have been meeting roughly once per month to socialize and discuss Haskell-related topics.

Haskell beginners and experts are equally welcome. Meetings are announced on our meetup page:

9.11  Haskell in the Munich Area

Report by:Haskell Consultancy Munich

Haskell in education

Haskell is widely used as an educational tool for both teaching students in computer science as well as for teaching industry programmers transitioning to functional programming. It is very well suited for that and there is a huge educational body present in Munich.

Haskell at the Technische Universität München (Technical University Munich)

Haskell is taught at the Fakultät für Informatik (Department of Computer Science). Functional programming is mandatory in the second year of the Bachelor degree for Computer Science as well as Information Systems. During this and last winter semester, Prof. Nipkow used Haskell for the course, called Introduction to Computer Science 2 (, which was previously taught using ML; the next semester will be Haskell as well. It is attended by about 500 students. The lecture is given by Prof. Tobias Nipkow, the tutorial is given by Lars Noschinski, Lars Hupel, and Jasmin Blanchette. The staff (<fp at>) may be contacted with any questions. There are several smaller courses where Haskell shows up, such as Programming Languages and various seminars. Jasmin Blanchette organizes an extracurricular programming competition which uses Haskell and receives notable attendance from the students (

Notably, Lars Hupel is known as the maintainer of scalaz (

Haskell at the Ludwig-Maximilians-Universität, Munich

Following a limited test run last year which included 12 people, the Institut für Informatik (Institute for Computer Science) has switched their Programming and Modelling ( course from ML to Haskell. It runs during the summer semester and is frequented by 688 students. It is a mandatory course for Computer Science and Media Information Technology students as well as many students going for degrees related to computer science, e.g. Computer Linguistics (where lambda calculus is very important) or Mathematics. The course consists of a lecture and tutorial and is led by Prof. Dr. Martin Hofmann and Dr. Steffen Jost. It started on the 7th April, 2014. It is expected that 450 students will complete the course. Notably, the course is televised and is accessible at the LMU portal for Programming and Modelling (

Haskell is also used in Advanced Functional Programming ( which runs during the winter semester and is attended by 20-30 students. It is mandatory for Computer Science as well as Media Information Technology students.

Neither of these courses has any entry requirements, and you may enter the university during the summer semester, which makes them very accessible.

Any questions may be directed to Dr. Steffen Jost (<jost at>).

Haskell at the Hochschule für angewandte Wissenschaften München (Academy for applied sciences Munich)

Haskell is taught in two courses at the College: Functional Programming and Compiler Design. Both courses consist of lectures and labs. Prof. Dr. Oliver Braun has brought Haskell to the school and has been using it during the last year for both courses; before that he taught Haskell at FH Schmalkalden Thüringen ( for 3.5 years.

Compiler Design ( is a compulsory course taught, depending on the group, using Haskell, Scheme, or Java. The Haskell version is frequented by over 40 students. Part of the note depends on a compiler authored in Haskell.

Functional Programming ( is a new, non-compulsory course attended by 20 students, taught with Haskell. The grade depends among others on an exam in Haskell knowledge and a project authored in Haskell with the Yesod web framework. It is taught with Learn You a Haskell and teaches practical skills such as Cabal, Haddock, QuickCheck, HUnit, Git, and Yesod. The school department’s website itself is in Snap.

Dr. Oliver Braun has started using Haskell in 1997, when it became the first programming language he’s used during his studies. He has later used Haskell during his thesis and afterwards his dissertation. He finds Haskell great for teaching. Oliver Braun can be reached via email (<ob at>).

Haskell as a teaching tool in the industry

Haskell is used in Munich to teach functional programming to industrial programmers. Since it uses the same basic programming model, it can also be used as a simple learning tool to introduce people to Scala. That is because both are based on System F and Haskell has a very clean, minimal implementation of it. It has been successfully used to teach a team of 10 PHP programmers the basics of functional programming and Scala and, together with other educational tools, get them up and running within a couple months, during which time the team remained productive. This approach makes it easy for companies to switch from the likes of PHP, Java, .NET, or C#to functional programming (Haskell, Scala, Clojure). At the same time the project switched to SOA (service oriented architecture) using the Twitter scala libraries. Having understood the basics of FP in Haskell, the team could easily move onto the more complicated task of understanding the more unique and intricate parts of Scala that correspond to extensions to System F while being able to understand Scala’s syntax. You may contact the author of this report (<haskell.consultancy at>) for details.

Haskell community

There are several meetups dedicated to Haskell in Munich. The organizers have initiated cooperation in order to build and support the local community, as well as the community in Germany. There is something related to Haskell happening every week.

The organizers would like to establish contact with other Haskell communities in Germany as well as the whole world. You may write to the Haskell Hackathon organizer (<haskell.hackathon at>). As of 2014, it is known that there is Haskell activity in Berlin, Cologne (Köln), Düsseldorf, Frankfurt am Main, Halle, Hamburg, and Stuttgart, as well as in Austria, Switzerland and the Czech Republic. If you’re from one of those communities, please write us! The Munich community welcomes any new connections from other locations.

The community receives notable guests, such as:

The community is very lively and there are many initiatives being worked on. For example, actively popularizing Haskell in the local industry, creating a network of companies, programmers, and informational events. The author of this report may be reached for more information (<haskell.consultancy at>).

Haskell Hackathon

The Haskell Hackathon is a small meeting for people who would like to build their Haskell skillset. People bring their laptops and work on one of the proposed topics together, sharing experience and teaching each other. Topics range from very easy (if you don’t know Haskell, you may come and the organizer will teach you the basics one on one) through intermediate (how to best set up the dev env, how to read the papers, how to use important libraries) to very advanced (free applicatives, comonads). Defocus is discouraged (subjects not related to Haskell are limited). The operating language is German but if you speak any other language you are welcome to join us.

The Hackathon is organized by the author of this report (<haskell.consultancy at>) and is currently in its second year. It is frequented by the staff and students of the local universities, industry programmers, as well as Haskell enthusiasts. You may contact the Hackathon with any questions via email (<haskell.hackathon at>).

We keep track of ideas we would like to explore during the Haskell Hackathon ( Any and all new questions are welcome!

Haskell Meetup

The Haskell Meetup, also called Haskell Stammtisch (which directly translates to: Haskell regulars table) is a social event for the Haskell community. It is the original Haskell event in Munich. Everyone is welcome (even non-Haskell programmers!). It happens once a month, usually at Cafe Puck which is a pub in one of the cooler parts of Munich, where the members can eat schnitzel and drink beer while chatting about topics ranging from Haskell itself to abstract mathematics, industrial programming, and so on. The group is very welcoming and they make you feel right at home. The Meetup attracts between 15 and 20 guests and there’s a large proportion of regulars. Attendance ranges from students, through mathematicians (notably the OEIS has a presence), industry programmers, physicists, and engineers. The Meetup receives international guests and sometimes we hold lectures.

The Haskell Meetup, established 29th September 2011 by Heinrich Hördegen. It is sponsored by Funktionale Programmierung Dr. Heinrich Hördegen ( and Energy Flow Analysis – Ingenieurbüro Guttenberg & Hördegen (

Munich Lambda

Munich Lambda ( was founded on Jun 28, 2013 by Alex Petrov. There have been 12 events so far, on topics including Haskell, Clojure, and generally functional programming, as well as Emacs. Meetups on the topic of Haskell occur every month to two months.

Typically, the meetup begins with a short introductory round where the visitors can talk about their work or hobbies and grab some food (provided by sponsors), followed by couple of presentations, and topped off by an informal discussion of relevant topics and getting to know each other. It is a great opportunity to meet other likeminded people who like Haskell or would like to start out with it.

Munich Lambda is sponsored by codecentric ( and StyleFruits (

Mailing lists in Munich

There are two mailing lists in use: and

The lists are used for event announcements as well as to continue discussions stemming from recent events. It is usually expected that anyone subscribed to one is also on the other, but conversations normally happen only on one or the other. There are 59 subscribers to high-order-munich.

There is a mail distributor for the Haskell Hackathon ( In order to receive emails, send mail to the Haskell Hackathon organizer (<haskell.hackathon at>).

ZuriHac 2014, Budapest Hackathon 2014, and the Munich Hackathon

There is a group of people going to ZuriHac 2014 ( We are currently planning the logistics. If you would like to join us, you may write to the high-order-munich mailing list ( Some people going to ZuriHac want to visit Munich first and will be received by the Munich community. There will be events during the week before ZuriHac. Boarding in Munich is inexpensive; the bus to Zurich is only 15 Euro and you may travel with a group of Haskell enthusiasts. There is a lot to see and visit in Munich. It is an easy travel destination as the Munich Airport has direct connections with most large airports in the world. Zurich is 312 kilometers (194 miles) away and no passport is necessary to travel from Munich to Zurich.

In addition, there is a group going to the Budapest Hackathon (, which is a week before ZuriHac. To connect those two together, both geographically and in time, a Munich Lambda event is planned for the 4th of June in Munich. The travel is very cheap (the bus tickets from Budapest to Munich and from Munich to Zurich are on the order of 30 Euro). This way people can attend all three, completing what has been nicknamed the Haskell World Tour 2014. For more information you may contact the organizer of the Haskell Hackathon in Munich (<haskell.hackathon at>). You may have fun, meet people from three huge Haskell communities, travel together, and see the world, all in one week!


There is a group of Haskell members going to HaL-9 in Halle (, which is 439 kilometers (273 miles) away. Henning Thielemann (<schlepptop at>), the event organizer, is in charge of car pooling for visitors coming from all locations.