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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 More

Comparison of ProPlot and UltraPlot

Checkout our examples

Below is a gallery showing random examples of what UltraPlot can do, for more examples checkout our extensive docs. View the full gallery here: Gallery.

Subplots & Layouts

Subplots & Layouts

Create complex multi-panel layouts effortlessly.

Cartesian Plots

Cartesian Plots

Easily generate clean, well-formatted plots.

Projections & Maps

Projections & Maps

Built-in support for projections and geographic plots.

Colorbars & Legends

Colorbars & Legends

Customize legends and colorbars with ease.

Insets & Panels

Insets & Panels

Add inset plots and panel-based layouts.

Colormaps & Cycles

Colormaps & Cycles

Visually appealing, perceptually uniform colormaps.

Documentation

The documentation is published on readthedocs.

Installation

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.

MCP server

UltraPlot includes a Model Context Protocol (MCP) server that lets AI assistants search documentation and examples, inspect the live Python API, and read source code and release notes.

See the MCP installation guide for installation instructions, client configuration, and documentation setup.

Citing UltraPlot

If you use UltraPlot in your research, please cite the latest release metadata in CITATION.cff. GitHub can export this metadata as BibTeX from the repository’s “Cite this repository” panel, and the Zenodo badge below points to the project DOI across releases.

Metadata

Release files for ultraplot 2.7.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ultraplot 2.7.4
File Size Uploaded Provenance Actions
ultraplot-2.7.4.tar.gz 15.4 MB With provenance Details for ultraplot-2.7.4.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ultraplot 2.7.4
File Interpreter ABI Platform Actions
ultraplot-2.7.4-py3-none-any.whl Python 3 none any Details for ultraplot-2.7.4-py3-none-any.whl

Total release size: 30.4 MB

Release files / ultraplot-2.7.4.tar.gz

Download URL ultraplot-2.7.4.tar.gz
Size 15.4 MB
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44c7ab935cc2fbf3177e2132a42357494d5aa2b5255e2d51513c739610d180a7
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Yes
Uploaded via twine/7.0.0 CPython/3.13.16

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Release files / ultraplot-2.7.4-py3-none-any.whl

Download URL ultraplot-2.7.4-py3-none-any.whl
Size 15.0 MB
Tags Python 3
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9966efbd3e6ff778fbdb3659f2f458c726435270168096d431fa31091d770972
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35bb2148604bb9625baaf086ef98089e91128b274ebcee2bd9ced93db2e1621c
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Uploaded via twine/7.0.0 CPython/3.13.16

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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 10, 2026.

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Security for ultraplot 2.7.4

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Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

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Attestation for ultraplot-2.7.4.tar.gz

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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 10, 2026.

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This release

2.7.4 This release

2 release files Full provenance

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