Jupyter Widget for Intelligent Data Discovery
Lux is a library designed to make data science easier and facilitate fast experimentation with data. You can learn more about Lux by referring to the core Lux API in Python. This is the Jupyter widget frontend for Lux, written in Typescript and React.
Here is an example of the Lux widget in action.
You can find the full demo example in this live notebook.
Lux can be installed through PyPI:
pip install lux-api
Setup in Jupyter Notebook, VSCode
jupyter nbextension install --py luxwidget jupyter nbextension enable --py luxwidget
If the installation happens correctly, you should see two
- Validating: OK after executing the two lines above.
Setup in Jupyter Lab
To use Lux in Jupyter Lab, activate the lab extension:
jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter labextension install luxwidget
Documentation and Support
Lux has only been tested with Jupyter notebook and Chrome - there have been issues with other browsers and we advise using Chrome.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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