---
id: altair
version: "6.2.2"
license: Copyright (c) 2015-2025, Vega-Altair Developers All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# altair — Vega-Altair: A declarative statistical visualization library for Python.

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install altair
uv add altair
poetry add altair

## Description

# Vega-Altair <a href="https://altair-viz.github.io/"><img align="right" src="https://altair-viz.github.io/_static/altair-logo-light.png" height="50"></img></a>

[![github actions](https://github.com/vega/altair/workflows/build/badge.svg)](https://github.com/vega/altair/actions?query=workflow%3Abuild)
[![typedlib_mypy](https://www.mypy-lang.org/static/mypy_badge.svg)](https://www.mypy-lang.org)
[![JOSS Paper](https://joss.theoj.org/papers/10.21105/joss.01057/status.svg)](https://joss.theoj.org/papers/10.21105/joss.01057)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/altair)](https://pypi.org/project/altair)

**Vega-Altair** is a declarative statistical visualization library for Python. With Vega-Altair, you can spend more time understanding your data and its meaning. Vega-Altair's
API is simple, friendly and consistent and built on top of the powerful
[Vega-Lite](https://github.com/vega/vega-lite) JSON specification. This elegant
simplicity produces beautiful and effective visualizations with a minimal amount of code. 

*Vega-Altair was originally developed by [Jake Vanderplas](https://github.com/jakevdp) and [Brian
Granger](https://github.com/ellisonbg) in close...

## AI interpretation — verify before relying

Altair is a declarative statistical visualization library that lets you build interactive charts using a simple Python API backed by the Vega-Lite JSON specification.

Verdict: Altair is a mature, well-maintained visualization library with active status, no known vulnerabilities, and permissive licensing. Its low install friction and support for Python 3.10–3.14 make it accessible for interactive charts in notebooks and web contexts.

[View on SkillFed](https://skillfed.io/packages/altair) · [View on PyPI](https://pypi.org/project/altair/)