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Seaborn

Seaborn

Michael Waskom

A python visualization library based on matplotlib.

Updated 2h ago
Open SourceData Analysis37

About Seaborn

Seaborn, created and maintained by Michael Waskom, is a free, open-source Python data-visualization library built on matplotlib that provides a high-level interface for drawing attractive, statistically informative graphics. It covers relational plots (showing connections between variables), distribution plots, categorical plots for grouped comparisons, regression plots with statistical overlays, multi-plot grids for complex layouts, and built-in theming and color palettes — plus a newer "Objects API" for more flexible plot construction. Documentation and version history (currently 0.13.2, with archives back to 0.9) show a long, actively maintained history. As a Python plotting library, it's a developer tool rather than a point-and-click app — real value requires comfort writing Python and working with pandas DataFrames. Good fit for a data scientist or analyst who wants clean, publication-quality statistical charts from a few lines of Python rather than manually styling matplotlib plots.

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Key Information

Pricing
Open Source
Free Trial
No
API Access
No
Open Source
Yes
Category
Data Analysis
Developer
Michael Waskom
Last Updated
2h ago
Website Status
Online

Features

High-level statistical plotting API on matplotlib
Relational, distribution, categorical, and regression plots
Multi-plot grids for complex layouts
Built-in themes and color palettes
Objects API for flexible plot construction
Free and open source

Pricing

Open Source
This tool is open source and free to use or modify.

Free tier available

Frequently Asked Questions

Seaborn is open source and free to use.

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