Skip to main content

A succinct matplotlib wrapper for making beautiful, publication-quality graphics.

Project description

UltraPlot Logo

Downloads Build Status Coverage Docs PyPI Code style: black pre-commit.ci status PRs Welcome License DOI

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

The default install includes optional features (for example, pyCirclize-based plots). For a minimal install, use --no-deps and install the core requirements:

pip install ultraplot --no-deps
pip install -r requirements-minimal.txt

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}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ultraplot-2.1.3.tar.gz (15.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ultraplot-2.1.3-py3-none-any.whl (13.7 MB view details)

Uploaded Python 3

File details

Details for the file ultraplot-2.1.3.tar.gz.

File metadata

  • Download URL: ultraplot-2.1.3.tar.gz
  • Upload date:
  • Size: 15.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ultraplot-2.1.3.tar.gz
Algorithm Hash digest
SHA256 e0a3da2935fb91454db0fe0c44e5d9d007f1877450bd713e48044b6dd518acef
MD5 46e5060f83c8f38f8f7e270b8a55c6f0
BLAKE2b-256 de36182fbaf9675f2fedd9e87f07d1e3416619c00b5e9fab656efda74a37694e

See more details on using hashes here.

Provenance

The following attestation bundles were made for ultraplot-2.1.3.tar.gz:

Publisher: publish-pypi.yml on Ultraplot/UltraPlot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ultraplot-2.1.3-py3-none-any.whl.

File metadata

  • Download URL: ultraplot-2.1.3-py3-none-any.whl
  • Upload date:
  • Size: 13.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ultraplot-2.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4c5112c3a2ca96acadf65322112dce1cff8f82d82280a644409426bd3524e918
MD5 6460aa4c59c0f10b5645d45560ddb3e4
BLAKE2b-256 7118647a717fc1664928124c17fe9246c539efe334e7912de97b505d7cf9a003

See more details on using hashes here.

Provenance

The following attestation bundles were made for ultraplot-2.1.3-py3-none-any.whl:

Publisher: publish-pypi.yml on Ultraplot/UltraPlot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page