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Documentation can be found on Hackage. Changes between versions are recorded in the change log. When building this package directly from the Git repository, one must run autoreconf -fi to generate the configure script needed by cabal configure. This requires Autoconf to be installed.

Unison is an open source functional programming language based on a simple idea with big implications: code is content-addressed and immutable. Unison’s core idea is that code is immutable and identified by its content. This lets us reimagine many aspects of how a programming language works. We simplify codebase management, Unison has no builds, no dependency conflicts, and renaming things is trivial. The same core idea forms the basis for a runtime that robustly supports dynamic code...

The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies...

Turtle is a reimplementation of the Unix command line environment in Haskell so that you can use Haskell as a scripting language or a shell. Think of turtle as coreutils embedded within the Haskell language. The turtle library focuses on being a "better Bash" by providing a typed and light-weight shell scripting experience embedded within the Haskell language. If you have a large shell script that is difficult to maintain, consider translating it to a "turtle script" (i.e. a Haskell script...

zsh-git-prompt is a Z shell prompt script that displays rich Git repository information in your shell prompt, such as branch, ahead/behind status, staged changes, conflicts, and more. It enhances developer productivity in version-controlled workflows. There is now a Haskell implementation as well, which can be four to six times faster than the Python one. The reason is not that Haskell is faster in itself (although it is), but that this implementation calls git only once. You may redefine...