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Contributing to the Jupyter Server

If you're reading this section, you're probably interested in contributing to Jupyter. Welcome and thanks for your interest in contributing!

Please take a look at the Contributor documentation, familiarize yourself with using the Jupyter Server, and introduce yourself on the mailing list and share what area of the project you are interested in working on.

General Guidelines

For general documentation about contributing to Jupyter projects, see the Project Jupyter Contributor Documentation.

Setting Up a Development Environment

Installing the Jupyter Server

Once you have installed the dependencies mentioned above, use the following steps:

pip install --upgrade setuptools pip
git clone https://github.com/jupyter/jupyter_server
cd jupyter_server
pip install -e .

If you are using a system-wide Python installation and you only want to install the server for you, you can add --user to the install commands.

Once you have done this, you can launch the master branch of Jupyter server from any directory in your system with:

jupyter server

Troubleshooting the Installation

If you do not see that your Jupyter Server is not running on dev mode, it's possible that you are running other instances of Jupyter Server. You can try the following steps:

  1. Uninstall all instances of the jupyter_server package. These include any installations you made using pip or conda
  2. Run python3 -m pip install -e . in the jupyter_server repository to install the jupyter_server from there
  3. Run npm run build to make sure the Javascript and CSS are updated and compiled
  4. Launch with python3 -m jupyter_server --port 8989, and check that the browser is pointing to localhost:8989 (rather than the default 8888). You don't necessarily have to launch with port 8989, as long as you use a port that is neither the default nor in use, then it should be fine.
  5. Verify the installation with the steps in the previous section.

Running Tests

Python Tests

Install dependencies:

pip install -e .[test]

To run the Python tests, use:

nosetests

If you want coverage statistics as well, you can run:

nosetests --with-coverage --cover-package=jupyter_server jupyter_server

Building the Documentation

To build the documentation you'll need Sphinx, pandoc and a few other packages.

To install (and activate) a conda environment named server_docs containing all the necessary packages (except pandoc), use:

conda env create -f docs/environment.yml
source activate server_docs  # Linux and OS X
activate notebook_docs         # Windows

If you want to install the necessary packages with pip instead:

pip install -r docs/doc-requirements.txt

Once you have installed the required packages, you can build the docs with:

cd docs
make html

After that, the generated HTML files will be available at build/html/index.html. You may view the docs in your browser.

You can automatically check if all hyperlinks are still valid:

make linkcheck

Windows users can find make.bat in the docs folder.

You should also have a look at the Project Jupyter Documentation Guide.