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lux

lux-org/lux

Automatically visualize pandas dataframes.

GraphCanon updated Sep 28, 2026 · GitHub synced Sep 28, 2026

43views this month

5.4k stars378 forksLast push Mar 20, 2024 Python Apache-2.0

Decision brief

Automatically visualize pandas dataframes to reveal trends.

Good fit when

  • When you need quick insights from pandas dataframes without manual visualization setup.
  • If working in a Jupyter notebook where automatic visualization integration is beneficial.

Avoid when

  • Avoid if your workflow strictly avoids third-party extensions for Pandas.
  • Not suitable when detailed customization of visualizations is required, as Lux focuses on automated recommendations.

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (921d since push)
As of Sep 28, 2026
Provenance
Not a fork · Organization account
As of Sep 28, 2026
Security (OSV)
13 low (13 low)
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install lux
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Lux is an automatic visualization tool for pandas dataframes that recommends interesting visual patterns and trends within datasets. It integrates seamlessly with Pandas and Jupyter notebooks.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 28, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 28, 2026)

```python import lux
Source link
Works with VS CodeVS Code

Source: README excerpt (regex_v1, Sep 28, 2026)

ions for your notebook IDE, e.g., [jupyter notebook](#setup-in-jupyter-notebook-vscode-jupyterhub) and [jupyter lab](#setup-in-jupyter-lab).
Source link

Tags

README

Getting Started To start using Lux, simply add an extra import statement along with your Pandas import. Lux can be used without modifying any existing Pandas code. Here, we use Pandas's read csv command to load in a dataset of colleges and their properties. When the dataframe is...

For agents

This page has a .md twin and JSON over the API.

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