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Jupyter Widget for Intelligent Data Discovery

Project description

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.

Basic recommendations in Lux

You can find the full demo example in this live notebook.


To get started, the Lux Jupyter widget can be installed through PyPI:

    pip install lux-widget

To install and activate the Jupyter notebook extension:

    jupyter nbextension install --sys-prefix --symlink --overwrite --py luxwidget
    jupyter nbextension enable --sys-prefix --py luxwidget

If the installation happens correctly, you should see two - Validating: OK after executing the two lines above. If you encounter issues with the installation, please refer to this page to troubleshoot the installation.

Dev Installation

To install the widget for dev purposes, we need to install npm and webpack:

    npm install --save-dev webpack webpack-cli

Then, we can install the Lux Jupyter widget using the custom installation script:

    git clone
    cd lux-widget/
    npm install

Documentation and Support

For detailed reference, please refer to the documentation page. Please report any bugs, issues, or requests through Github Issues or post on the #help channel in the Lux Slack org.

Project details

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