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/
Thanks for not burning us to the ground immediately😉!
Since we don’t intend to replace matplotlib, we still inherent the quicks but intend to smooth those out. For example we provide a custom gridspec that allows for 2d slicing (or linear slicing); layouts by default are flexible and sharing where it makes sense.
I do wonder, what would the alternative look like for the standard `fig, ax‘ paradigm? I am aware of plotly’s approach, but am willing to explore other options.