![]() ![]() To use Lux in Jupyter Lab, activate the lab extension: jupyter labextension install labextension install luxwidget Lux is compatible with both Jupyter Lab version 2 and 3. Note that you may have to restart the Jupyter Notebook server to ensure that the widget is displaying correctly. If the installation happens correctly, you should see two - Validating: OK after executing the two lines above. To use Lux with any Jupyter notebook-based frontends (e.g., Jupyter notebook, JupyterHub, or VSCode), activate the notebook extension: jupyter nbextension install -py luxwidget Setup in Jupyter Notebook, VSCode Setup in Jupyter Notebook, VSCode, JupyterHub Installationįor either Jupyter Notebooks or JupyterLab (versions 3.0 and above), you can install via pip or conda: pip install lux-api You can find the full demo example in this live notebook. Here is an example of the Lux widget in action. This is the Jupyter widget frontend for Lux, written in Typescript and React. ![]() ![]() You can learn more about Lux by referring to the core Lux API in Python. Lux is a library designed to make data science easier and facilitate fast experimentation with data.
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