49

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/

you are viewing a single comment's thread
view the rest of the comments
[-] trolske@feddit.org 0 points 1 week ago

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.

this post was submitted on 06 Dec 2025
49 points (100.0% liked)

Open Source

42616 readers
91 users here now

All about open source! Feel free to ask questions, and share news, and interesting stuff!

Useful Links

Rules

Related Communities

Community icon from opensource.org, but we are not affiliated with them.

founded 6 years ago
MODERATORS