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lux

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lux-org/lux

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

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Python Apache-2.0Created Jan 8, 2020

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Maintenance: Dormant (843d since push); As of today · Source: github_public_v1
Provenance: Not a fork · Organization account; As of today · Source: github_public_v1
Security (OSV): 13 low (13 low); As of today · Source: osv@v1

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Overview

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

Capability facts

Languages: python
Source: github.language+pyproject.toml · Jul 11, 2026

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

```python import lux

Source link

Works with VS CodeVS Code

Source: README excerpt (regex_v1, Jul 11, 2026)

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

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README

Getting Started

To start using Lux, simply add an extra import statement along with your Pandas import.

import lux
import pandas as pd

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.

df = pd.read_csv("https://raw.githubusercontent.com/lux-org/lux-datasets/master/data/college.csv")
df

When the dataframe is printed out, Lux automatically recommends a set of visualizations highlighting interesting trends and patterns in the dataset.

Basic recommendations in Lux

Voila! Here's a set of visualizations that you can now use to explore your dataset further!

Installation & Setup

Note: Lux's official package name is lux-api (not lux). After installing the package, remember to run the setup instructions for your notebook IDE, e.g., jupyter notebook and jupyter lab.

To get started, please follow both the installation and setup instructions in your command line. lux-api can be installed through PyPI or conda-forge.