haskellEstimated reading time: 4 minutes
Haskell is an advanced purely-functional programming language.
GitHub repo: https://github.com/freebroccolo/docker-haskell
Supported tags and respective
Where to file issues:
the Docker Community
Supported Docker versions:
the latest release (down to 1.6 on a best-effort basis)
What is Haskell?
Haskell is a lazy, functional, statically-typed programming language with advanced type system features such as higher-rank, higher-kinded parametric polymorphism, monadic effects, generalized algebraic data types (GADTs), flexible type classes, associated type families, and more.
ghc is a portable, optimizing compiler with a foreign-function interface (FFI), an LLVM backend, and sophisticated runtime support for concurrency, explicit/implicit parallelism, runtime profiling, etc. Other Haskell tools like
haddock provide advanced benchmarking, property-based testing, code coverage, and documentation generation.
A large number of production-quality Haskell libraries are available from Hackage in the form of Cabal packages. The traditional
cabal tool, or the more recent
stack tool (available in
7.10.3+) can be used to streamline working with Cabal packages. The key differences are summarized here. New users are encouraged to start with
About this image
This image ships a minimal Haskell toolchain with the following packages from the hvr PPA:
stack tool is included.
Note: The GHC developers do not support legacy release branches (i.e.
7.8.x). While older GHC release tags are available in this DockerHub repository, only the latest stable release (or upcoming release candidates) will be shown in the “Supported tags ...” section at the top of this page.
How to use this image
Start an interactive interpreter session with
$ docker run -it --rm haskell:8 GHCi, version 8.0.2: http://www.haskell.org/ghc/ :? for help Prelude>
Dockerize an application from Hackage with a
FROM haskell:8 RUN stack install pandoc pandoc-citeproc ENTRYPOINT ["pandoc"]
FROM haskell:8 RUN cabal update && cabal install pandoc pandoc-citeproc ENTRYPOINT ["pandoc"]
Iteratively develop a Haskell application with a
Dockerfile utilizing the build cache:
FROM haskell:7.10 WORKDIR /opt/server RUN cabal update # Add just the .cabal file to capture dependencies COPY ./snap-example.cabal /opt/server/snap-example.cabal # Docker will cache this command as a layer, freeing us up to # modify source code without re-installing dependencies # (unless the .cabal file changes!) RUN cabal install --only-dependencies -j4 # Add and Install Application Code COPY . /opt/server RUN cabal install CMD ["snap-example"]
See the application snippet above in more detail in the example snap application.
As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).
Some additional license information which was able to be auto-detected might be found in the
As for any pre-built image usage, it is the image user’s responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.library, sample, haskell