A succinct matplotlib wrapper for making beautiful, publication-quality graphics. It builds upon ProPlot and transports it into the modern age (supporting mpl 3.9.0+).
Why UltraPlot? | Write Less, Create MoreBelow is a gallery showing random examples of what UltraPlot can do, for more examples checkout our extensive docs.
Subplots & Layouts
Create complex multi-panel layouts effortlessly.
Cartesian Plots
Easily generate clean, well-formatted plots.
Projections & Maps
Built-in support for projections and geographic plots.
Colorbars & Legends
Customize legends and colorbars with ease.
Insets & Panels
Add inset plots and panel-based layouts.
Colormaps & Cycles
Visually appealing, perceptually uniform colormaps.
The documentation is published on readthedocs.
UltraPlot is published on PyPi and conda-forge. It can be installed with pip or conda as follows:
pip install ultraplot conda install -c conda-forge ultraplot
Likewise, an existing installation of UltraPlot can be upgraded to the latest version with:
pip install --upgrade ultraplot conda upgrade ultraplot
To install a development version of UltraPlot, you can use pip install git+https://github.com/ultraplot/ultraplot.git or clone the repository and run pip install -e . inside the ultraplot folder.
If you use UltraPlot in your research, please cite it using the following BibTeX entry:
@software{vanElteren2025,
author = {Casper van Elteren and Matthew R. Becker},
title = {UltraPlot: A succinct wrapper for Matplotlib},
year = {2025},
version = {1.57.1},
publisher = {GitHub},
url = {https://github.com/Ultraplot/UltraPlot}
}
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