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How to contribute to nilearn

This project is a community effort, and everyone is welcome to contribute.

The project is hosted on https://github.com/nilearn/nilearn

The best way to contribute and to help the project is to start working on known issues. See Good first issues to get started.

If an issue does not already exist for a potential contribution, we ask that you first open an issue before sending a :ref:`pull request`.

Opening an issue

Nilearn uses issues for tracking bugs, requesting potential features, and holding project discussions.

Core developers can assign labels on issues, such as:

  • Discussion These issues discuss ongoing discussions on the project where community feedback is requested.
  • Enhancement These issues discuss potential enhancements or additions to the project.
  • Bug These issues detail known bugs in the Nilearn code base.

Pull Requests

We welcome pull requests from all community members. We follow the same conventions as scikit-learn. You can find the recommended process to submit code in the scikit-learn guide to contributing code.

Retrieving the latest code

We use Git for version control and GitHub for hosting our main repository. If you are new on GitHub and don't know how to work with it, please first have a look at this to get the basics.

You can check out the latest sources with the command:

git clone git://github.com/nilearn/nilearn.git

or if you have write privileges:

git clone git@github.com:nilearn/nilearn.git

Coding guidelines

Nilearn follows the coding conventions used by scikit-learn. Please read them before you start implementing your changes.

Contributing to the documentation

To build our documentation, we are using sphinx for the main documentation and sphinx-gallery for the example tutorials. If you want to make changes to the example tutorials, please do the following :

  1. First, ensure that you have installed sphinx and sphinx-gallery. You can install the requirements using nilearn/requirements-build-docs.txt.

  2. Fork the Nilearn repository and clone your fork.

  3. Then go to nilearn/examples

  4. Make your changes using reStructuredText files

  5. You can now go to nilearn/doc and build the examples locally:

    make html-strict

    or, if you do not have make install (for instance under Windows):

    python3 -m sphinx -b html -d _build/doctrees . _build/html

  6. Visually review the output in nilearn/doc/_build/html/auto_examples/. If all looks well and there were no errors, commit and push the changes.

  7. You can now open a Pull Request from Nilearn's Pull Request page.

For more details about the Fork Clone Push worksflow, read here <https://guides.github.com/activities/forking/>_

TIPS : To reduce building time, we suggest you to use the filename_pattern to build just one specific file:

python3 -m sphinx -D sphinx_gallery_conf.filename_pattern=plot_decoding_tutorial.py -b html -d _build/doctrees . _build/html