# lux-org/lux

Automatically visualize your pandas dataframe via a single print! 📊 💡

Repository: https://github.com/lux-org/lux
Canonical: https://ross.abutalabs.com/products/lux-org-lux
Language: Python
License: Apache-2.0
License Family: permissive
Topics: visualization-tools, jupyter, python, data-science, exploratory-data-analysis, visualization, pandas
Last push: 2024-03-20T15:48:47+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2429, "days_push": 896, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5377, forks 380 (observed 2026-08-28T04:09:16.223068+00:00)

## What it is
Lux is a Python library that automatically recommends and renders visualizations for pandas dataframes whenever they are printed in a Jupyter notebook. It provides an intelligent visual discovery API for fast exploratory data analysis.

## Use cases
- automatically visualize a pandas dataframe with a single print
- explore distributions and correlations in a dataset without writing plotting code
- speed up exploratory data analysis in Jupyter notebooks
- discover interesting patterns and trends in tabular data
- generate chart recommendations for a dataframe

## When to choose
- you work with pandas dataframes in Jupyter and want instant visualizations
- you want automated chart recommendations during exploratory data analysis
- you want to reduce boilerplate matplotlib/seaborn plotting code

## When to avoid
- you need production-grade dashboards or web-based visualization apps
- you work outside Jupyter notebooks or with non-pandas data
- you need fine-grained manual control over every chart detail

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, data-science
- domain: data-visualization, data-science, developer-tools
- platform: python
- tags: pandas, exploratory-data-analysis, jupyter-notebook, automatic-visualization, jupyter

## Member repositories
- lux-org/lux (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:16.223068+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:58:41.331668+00:00, confidence not recorded.
  - readme: https://github.com/lux-org/lux (fetched 2026-08-28T04:09:16.223068+00:00, sha 47f05aceb21c)
  - registry_pypi: https://pypi.org/pypi/lux/json (fetched 2026-08-29T08:52:46.274586+00:00, sha 1994ee0f4d13)
- Data as of 2026-08-30T08:39:29.467469+00:00.