jupyterlab-a11y-checker 0.2.1

A JupyterLab extension that checks and suggests fixes for a11y issues.

Jupyterlab-a11y-checker

Jupyterlab-a11y-checker is a JupyterLab extension performs accessibility checks on Jupyter Notebooks (on JupyterHub), leveraging custom detection algorithms to align with WCAG 2.0 AA guidelines. It enables authors to identify accessibility issues in their notebooks and provides actionable suggestions to fix them.

Tool Description

Issue Detection

While there are many possible a11y issues in Jupyter Notebooks, we prioritized the issues discussed in a well-known study. The issues the extension can detect are listed in Issue Descriptions.

Fix Interfaces

We provide a user interface tailored to each issue, such as a text field for adding alt-text, a dropdown for fixing header issues, etc. The fix interfaces are listed in Fix Interface Descriptions.

AI Functionality

To simplify the remediation process, we integrate a Large Language Model (LLM) for generating recommendations. Using Ollama's mistral model, all processing is done locally on JupyterHub, ensuring user data privacy (details on this implementation will be shared in future releases).

Getting Started

Installing

You can install the extension directly via pip:

pip install jupyterlab-a11y-checker

Find the package on PyPI here.

Contributing

We’re building this tool for the community, and we’d love your help! Whether it’s adding new accessibility checks, or refining the fix suggestions, your contributions can help this project make a broader impact.

Build from Scratch

# Create an environment using anaconda navigator: <env-name>

conda activate <env-name>
pip install cookie cutter
python -m pip install jupyterlab notebook --pre
mamba install -c conda-forge nodejs=18
node -v #to check version

# <pull code>
OR
cookiecutter https://github.com/jupyterlab/extension-cookiecutter-ts --checkout 4.0

jlpm
jlpm run build
jupyter labextension develop . --overwrite
python -m pip install -e .
pip list #to verify it has been installed in editable mode
jupyter labextension list #to verify it has been installed

jupyter lab --no-browser #run a jupyterlab server

#Run jlpm run build, then jupyter lab --no-browser to test your code after each change

Build from Temp Distribution

jlpm build:prod
npm pack #creates a tarball (*.tgz file) containing your project as it would be uploaded to the npm registry. This file can be shared and installed locally.
jupyter labextension install </path/to/your-package.tgz>


# ALTERNATIOVELY IF GIVEN A tar.gz file:

conda activate <env-name>
jupyter labextension install </path/to/your-package.tgz>
jupyter lab #this will open a local server of jupyterlab with all current extensions installed.

Pip Distribution

pip install twine

# create a ~/.pypirc file at root and add this to it:
[distutils]
index-servers =
	pypi

[pypi]
repository: https://upload.pypi.org/legacy/
username: __token__
password: your-api-token

#run this command and publish to pip.
twine upload your-package.whl

Development uninstall

pip uninstall jupyterlab_a11y_checker

Testing in a JupyterHub setup

• Build the Jupyter Lab extension with the latest changes

jlpm
jlpm build
jupyter lab build

• Package the extension as a wheel file (.whl)

python -m build

.whl file gets generated in the dist/ directory

• Copy the .whl file to the server where JupyterHub is installed (or include it in a Dockerfile if using Docker)

• Install the .whl file:

pip install /path/to/your-extension.whl

• If the identical version of the extension is already installed then

pip uninstall extension-name
pip install /path/to/your-extension.whl

• Refresh the page for the changes to apply

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named jupyterlab-a11y-checker within that folder.