A Jupyter kernel for Clojure - run Clojure code from Jupyter Lab, Notebook and Console.

Table of Contents

• Getting Started
• Installation
• The Docker Way
• To do
• Collaboration

Getting Started

In the examples folder of the repository there 3 example notebooks showing some of the features of clojupyter. See this notebook showing examples of how you can display HTML and use external Javascript:

There are 3 example notebooks because Jupyter offers several distinct user interfaces - Jupyter Lab, Jupyter Notebook and Jupyter Console - which have different feature sets for which clojupyter offers different support. We have one example notebook showing the features shared by Lab and Notebook and for each showing their distinct features. According to the Jupyter development roadmaps, Jupyter Notebook will eventually be phased out and completely replaced by Jupyter Lab.

You can also use existing JVM charting libraries since you can render any Java BufferedImage.

Installation

1. git clone https://github.com/clojupyter/clojupyter
2. cd clojupyter
3. make
4. make install

This will install a clojupyter kernel and a configuration file to tell Jupyter how to use clojupyter in from jupyter's user kernel location (in ~/.local/share/jupyter/kernels on linux and ~/Library/Jupyter/kernels on Mac).

Running Jupyter with clojupyter

Jupyter Notebook

To start Jupyter Notebook do:

jupyter notebook

and choose 'New' in the top right corner and select 'Clojure (clojupyter...)' kernel.

Jupyter Lab

To start Jupyter Lab do:

jupyter lab

Jupyter Console

You can also start the Jupyter Console by doing:

jupyter-console --kernel=clojupyter

The Docker way

A Docker image is also made to make the installation easier, and isolate the environment cleaner. What you need to do is:

1. Install Docker based on your platform.
2. Run docker run -p 8888:8888 klausharbo/clojupyter to have clojupyter run on your machine.

The first time you start it Docker will pull the Docker image from hub.docker.com, which takes time.

More detailed introduction and usage guide on the home page of the clojupyter Docker image.

TODO

Development progress is based on voluntary efforts so we can't make any promises, but the near-term road map for clojupyter development looks something like this:

v0.2.3 (tentative)

• [ ] Packaging: Support conda install on Mac
  • [ ] Create basic conda-build artifact
  • [ ] Add ability install in Anaconda cloud
  • [ ] Setup proof-of-concept conda install
• [ ] Reach: Support conda install on Linux
• [ ] Reach: Support conda install on Windows

v0.2.4 (tentative)

• [ ] Support reindentation (clj-fmt?)
  • [ ] Create proof-of-concept
  • [ ] Figure out how to install/uninstall feature easily
• [ ] Clarify/simplify external access to rendering
• [ ] Simplify Oz interface to clojupyter (eliminate dependency from Oz to clojupyter)
  • [ ] Create Oz PR to eliminate dependency
  • [ ] When accepted: Eliminate clojupyter.protocol.mime-convertible

v0.2.5 (tentative)

• [ ] Accept input from user
• [ ] Refactor clojupyter.nrepl.nrepl-comm
• [ ] Connect to running Clojure instance using nREPL
• [ ] Improve middleware implementation (async, pluggable)

Feed-back on development priorities is welcome, use the issue list for input and suggestions.

Collaboration

If you submit a pull request that ends up getting merged, we will give you commit access.