
Seaborn
Seaborn provides statistical data visualization tools and plotting functions for Python.

About Seaborn
Seaborn is a Python library for statistical data visualization. It is built on matplotlib and provides a high-level interface for drawing statistical graphics. The homepage lists plot types for relational, distribution, categorical, and regression data, along with multi-plot grids, figure theming, and color palettes.
The homepage links to an installation page, an example gallery, tutorials, an API reference, and a GitHub repository for source code and bug reports. The source does not state licensing terms or pricing. The homepage lists version 0.13.2 of the documentation.
Key features
- New Objects API for building statistical plots
- Relational plots for showing relationships between variables
- Distribution plots for examining how data values are spread
- Categorical plots for comparing values across category groups
- Regression plots for fitting and displaying trends in data
- Multi-plot grids for arranging several related figures together
- Built on matplotlib, the widely used Python plotting library
- Offers a high-level interface for statistical graphics
- Includes an example gallery, tutorials, and an API reference
- The source describes it as a Python library, so it is limited to Python use
Seaborn at a glance
- Website
- seaborn.pydata.org
- Category
- Design & Creative › Charts & Data Visualization
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Charts & Data Visualization

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Seaborn FAQ
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