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jupyter IHaskell Build Status

IHaskell

You can now try IHaskell directly in your browser at try.jupyter.org.

Alternatively, watch a talk and demo showing off IHaskell features.

IHaskell is a kernel for the Jupyter project, which allows you to use Haskell inside Jupyter frontends (including the console and notebook). It currently supports GHC 8 and 8.2. For GHC 7.10 support please use the GHC7 tag.

For a tour of some IHaskell features, check out the demo Notebook. More example notebooks are available on the wiki. The wiki also has more extensive documentation of IHaskell features.

IPython Console IPython Notebook

Interactive In-Browser Notebook

Note: IHaskell does not support Windows. To use on Windows, install Virtualbox, install Ubuntu or another Linux distribution, and proceed with the install instructions.

Installation

Linux

Some prerequisites; adapt to your distribution.

sudo apt-get install -y python3-pip git libtinfo-dev libzmq3-dev libcairo2-dev libpango1.0-dev libmagic-dev libblas-dev liblapack-dev
curl -sSL https://get.haskellstack.org/ | sh
git clone https://github.com/gibiansky/IHaskell
cd IHaskell
pip3 install -r requirements.txt
stack install gtk2hs-buildtools
stack install --fast
ihaskell install --stack

Mac

You need to have Homebrew installed. If you do not have it yet run /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" in your terminal.

You also need the Xcode command line tools. You can install them by running xcode-select --install in the terminal and following the prompts.

brew install python3 zeromq libmagic cairo pkg-config haskell-stack pango
git clone https://github.com/gibiansky/IHaskell
cd IHaskell
pip3 install -r requirements.txt
stack install gtk2hs-buildtools
stack install --fast
ihaskell install --stack

Tested on macOS Sierra (10.12.6)

Running

stack exec jupyter -- notebook

Docker

If you prefer a Docker-based workflow, you can use it to create an IHaskell notebook environment. For example:

$ docker build -t ihaskell:latest .
$ docker run -it -p8888:8888 ihaskell:latest

Currently the component that takes the longest time to compile is ihaskell-widgets, so if you're in a hurry you may want to comment that out in stack.yaml.

Nix

If you have the nix package manager installed, you can create an IHaskell notebook environment with one command. For example:

$ nix-build release.nix --arg packages "haskellPackages: [ haskellPackages.lens ]"
<result path>
$ <result path>/bin/ihaskell-notebook

It might take a while the first time, but subsequent builds will be much faster.

Troubleshooting

Where are my packages? (IHaskell + Stack)

Stack manages separate environments for every package. By default your notebooks will only have access to a few packages that happen to be required for ihaskell. To make packages available add them to the stack.yaml in the ihaskell directory and run stack solver && stack install.

Packages should be added to the packages: section and can take the following form (reproduced here from the stack documentation). If you've already installed a package by stack install you can simply list its name even if it's local.

- package-name
- location: .
- location: dir1/dir2
- location: https://example.com/foo/bar/baz-0.0.2.tar.gz
- location: http://github.com/yesodweb/wai/archive/2f8a8e1b771829f4a8a77c0111352ce45a14c30f.zip
- location:
    git: git@github.com:commercialhaskell/stack.git
    commit: 6a86ee32e5b869a877151f74064572225e1a0398
- location:
    hg: https://example.com/hg/repo
    commit: da39a3ee5e6b4b0d3255bfef95601890afd80709

The kernel keeps dying (IHaskell + Stack)

The default instructions globally install IHaskell with support for only one version of GHC. If you've e.g. installed an lts-10 IHaskell and are using it with an lts-9 project the mismatch between GHC 8.2 and GHC 8.0 will cause this error. Stack also has the notion of a 'global project' located at ~/.stack/global-project/ and the stack.yaml for that project should be on the same LTS as the version of IHaskell installed to avoid this issue.

Description
A Haskell kernel for the Jupyter project.
Readme MIT 9.3 MiB
Languages
Jupyter Notebook 62.8%
Haskell 35.8%
Nix 0.8%
JavaScript 0.3%
Dockerfile 0.2%