Matplotlib extensions
Styles, interactivity and GUIs for existing matplotlib figures. 4 tools, ranked by GitHub stars and updated .
Packages that extend Matplotlib instead of replacing it, so existing figures and code keep working. SciencePlots adds styles for journal figures, mpld3 renders figures as interactive D3 graphics in the browser, and Quibbler and syd make plots respond to widgets and changing data.
By GitHub stars, the most popular Matplotlib extensions here are SciencePlots (9.4K stars), mpld3 (2.4K stars), and Quibbler (333 stars). 2 of 4 had commits in the last 90 days.
| 1 |
Matplotlib styles for scientific figures and journal publications. |
9.4K |
| 2 |
Renders matplotlib figures as interactive D3.js graphics in the browser. |
2.4K |
| 3 |
Your data and anything you plot is effortlessly live and interactive. |
333 |
| 4 |
A package for making GUIs around matplotlib figures easy, fast, and streamlined. |
30 |
Head-to-head comparisons
Related categories
- Python plotting libraries
- 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
What is the most popular Matplotlib extension?
Which Matplotlib extensions are actively maintained?
Are these Matplotlib extensions free and open source?
Missing a tool? Add it with a one-line pull request to the README.