Lux
Lux automatically visualizes Pandas DataFrames to support data exploration.
About Lux
Lux is an open-source Python library that automates visualization of Pandas DataFrames to support exploratory data analysis. It operates within Jupyter notebooks, generating a set of recommended visualizations highlighting trends and patterns in a dataset as soon as the DataFrame is printed, presented via an interactive widget for easy browsing.
Users can specify attributes of interest via the df.intent property to receive tailored next-step visualization recommendations organized into Enhance, Filter, and Generalize tabs. Generated visualizations can be exported as static HTML, or translated to Altair, Matplotlib, or Vega-Lite code for further customization, and the library works with existing Pandas code without requiring modifications.
Key features
- Auto-generates visualizations for Pandas DataFrames on print
- Interactive widget to browse recommended visualizations
- Intent-based next-step visualization recommendations
- Export visualizations as static shareable HTML
- Translate visualizations to Altair, Matplotlib, or Vega-Lite
- Works with existing Pandas code without modifications
Best for: Data analysts and data scientists using Pandas in Jupyter notebooks for exploratory data analysis.
Good for
- Requires only an extra import, no changes to existing Pandas workflows
- Provides interactive, intent-driven recommendations to speed up data exploration
- Supports export to HTML and translation to common plotting libraries for customization
Watch out for
- Only compatible with Pandas DataFrames, no support for other data structures noted
- Interactive visualization features are limited to Jupyter notebook environments
- No documented support for non-Jupyter Python environments
Lux at a glance
- Website
- github.com/lux-org/lux
- Category
- Design & Creative › Charts & Data Visualization
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Lux FAQ
How do I enable Lux for my Pandas DataFrames?
Add an import lux statement alongside your Pandas import; no existing code modifications are required.
How can I specify which data attributes I want to explore?
Set the df.intent property to a list of your desired attributes to receive tailored visualization recommendations.
Can I edit or share Lux's generated visualizations?
Yes, visualizations can be saved as static HTML, or translated to Altair, Matplotlib, or Vega-Lite code for further editing.
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