Hi everyone,
I’m trying to raise awareness of UltraPlot — a succinct wrapper for Matplotlib. The project is aimed at scientists and researchers who need to create professional, publication-ready figures while keeping their code expressive and minimal.
UltraPlot provides tools that simplify many common but cumbersome plotting tasks, including:
- subplot sharing and layout management
- panel and grid organization
- automatic subplot tagging
- easy geo plotting and better GeoAxes handling
- and many other quality-of-life features for complex figures
If you regularly work with Matplotlib and want a cleaner, more structured plotting workflow, UltraPlot might be helpful.
Checkout our docs at https://ultraplot.readthedocs.io/ or star us on github: https://github.com/Ultraplot/UltraPlot/


I don’t want to start a war here, but R has solved that already much better with the entire ggplot2 ecosystem.
ML applications are much better supported in Python, but for anything statistics related I would rather use R.