Python plotting libraries
General-purpose libraries for static line, bar, scatter and statistical plots. 5 tools, ranked by GitHub stars and updated .
General-purpose plotting libraries for Python. Matplotlib is the foundation most of the ecosystem builds on, with fine control over every element of a figure, and Seaborn adds statistical plots with sensible defaults on top of it. pygal produces SVG charts, and Toyplot focuses on clean, interactive output for notebooks.
By GitHub stars, the most popular Python plotting libraries here are Matplotlib (23.4K stars), Seaborn (14.1K stars), and pygal (2.8K stars). 3 of 5 had commits in the last 90 days.
| 1 |
 Matplotlib
2D plotting library. |
23.4K |
| 2 |
 Seaborn
A library for making attractive and informative statistical graphics. |
14.1K |
| 3 |
 pygal
SVG charting library for Python with many chart types and interactive output. |
2.8K |
| 4 |
 Veusz
Python multiplatform GUI plotting tool and graphing library |
1.1K |
| 5 |
 Toyplot
The kid-sized plotting toolkit for Python with grownup-sized goals. |
449 |
Head-to-head comparisons
Related categories
- Matplotlib extensions
- Python grammar of graphics & declarative plotting libraries
- Python interactive web charting libraries
- Python dashboard & data app frameworks
- Python exploratory data analysis & profiling tools
- Python map & geospatial visualization libraries
- Python 3D & scientific visualization libraries
- High-performance & GPU plotting libraries for Python
- Python robotics & computer vision visualization
- Python financial charting libraries
- Terminal plotting libraries for Python
- Python text visualization libraries
Frequently asked questions
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