{"id":7733906,"url":"https://bokeh.github.io/colorcet","last_synced_at":"2025-07-16T03:32:23.574Z","repository":{"id":12917119,"uuid":"73039191","full_name":"holoviz/colorcet","owner":"holoviz","description":"A set of useful perceptually uniform colormaps for plotting scientific 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src=\"https://github.com/holoviz/colorcet/blob/main/doc/_static/logo.png\" width=200\u003e\u003cbr\u003e\n\n-----------------\n\n# Colorcet: Collection of perceptually uniform colormaps\n\n|    |    |\n| --- | --- |\n| Build Status | [![Linux/MacOS Build Status](https://github.com/holoviz/colorcet/workflows/tests/badge.svg?query=branch%3Amain)](https://github.com/holoviz/colorcet/actions/workflows/tests.yaml?query=branch%3Amain) |\n| Coverage | [![codecov](https://codecov.io/gh/holoviz/colorcet/branch/main/graph/badge.svg)](https://codecov.io/gh/holoviz/colorcet) ||\n| Latest dev release | [![Github tag](https://img.shields.io/github/tag/holoviz/colorcet.svg?label=tag\u0026colorB=11ccbb)](https://github.com/holoviz/colorcet/tags) [![dev-site](https://img.shields.io/website-up-down-green-red/https/holoviz-dev.github.io/colorcet.svg?label=dev%20website)](https://holoviz-dev.github.io/colorcet/) |\n| Latest release | [![Github release](https://img.shields.io/github/release/holoviz/colorcet.svg?label=tag\u0026colorB=11ccbb)](https://github.com/holoviz/colorcet/releases) [![PyPI version](https://img.shields.io/pypi/v/colorcet.svg?colorB=cc77dd)](https://pypi.python.org/pypi/colorcet) [![colorcet version](https://img.shields.io/conda/v/holoviz/colorcet.svg?colorB=4488ff\u0026style=flat)](https://anaconda.org/holoviz/colorcet) [![conda-forge version](https://img.shields.io/conda/v/conda-forge/colorcet.svg?label=conda%7Cconda-forge\u0026colorB=4488ff)](https://anaconda.org/conda-forge/colorcet) [![defaults version](https://img.shields.io/conda/v/anaconda/colorcet.svg?label=conda%7Cdefaults\u0026style=flat\u0026colorB=4488ff)](https://anaconda.org/anaconda/colorcet) |\n| Python | [![Python support](https://img.shields.io/pypi/pyversions/colorcet.svg)](https://pypi.org/project/colorcet/) |\n| Docs | [![gh-pages](https://img.shields.io/github/last-commit/holoviz/colorcet/gh-pages.svg)](https://github.com/holoviz/colorcet/tree/gh-pages) [![site](https://img.shields.io/website-up-down-green-red/http/colorcet.holoviz.org.svg)](https://colorcet.holoviz.org) |\n\n\n## What is it?\n\nColorcet is a collection of\nperceptually uniform colormaps for use with Python plotting programs like\n[bokeh](https://bokeh.org),\n[matplotlib](https://matplotlib.org),\n[holoviews](https://holoviews.org), and\n[datashader](https://github.com/bokeh/datashader) based on the\nset of [perceptually uniform colormaps](https://arxiv.org/abs/1509.03700) created\nby Peter Kovesi at the Center for Exploration Targeting.\n\n\n## Installation\n\nColorcet supports Python 3.9 and greater on Linux, Windows, or Mac\nand can be installed with conda:\n\n```sh\nconda install colorcet\n```\n\nor with pip:\n\n```sh\npython -m pip install colorcet\n```\n\nTo work with JupyterLab you will also need the PyViz JupyterLab extension:\n\n```sh\nconda install -c conda-forge jupyterlab\njupyter labextension install @pyviz/jupyterlab_pyviz\n```\n\nOnce you have installed JupyterLab and the extension launch it with:\n\n```sh\njupyter-lab\n```\n\nIf you want to try out the latest features between releases, you can get the latest dev release by installing:\n\n```sh\nconda install -c pyviz/label/dev colorcet\n```\n\nFor more information take a look at [Getting Started](https://colorcet.holoviz.org/getting_started).\n\n## Learning more\n\nYou can see all the details about the methods used to create these\ncolormaps in [Peter Kovesi's 2015 arXiv\npaper](https://arxiv.org/pdf/1509.03700v1.pdf).  Other useful\nbackground is available in a [1996 paper from\nIBM](https://web.archive.org/web/20161126173524/http://www.research.ibm.com/people/l/lloydt/color/color.HTM).\n\nThe Matplotlib project also has a number of relevant resources,\nincluding an excellent\n[2015 SciPy talk](https://www.youtube.com/watch?v=xAoljeRJ3lU), the\n[viscm tool for creating maps like the four in mpl](https://github.com/matplotlib/viscm), the\n[cmocean site](https://matplotlib.org/cmocean/) collecting a set of maps created by viscm,\nand the [discussion of how the mpl maps were created](https://bids.github.io/colormap/).\n\n\n## Samples\n\nSome of the Colorcet colormaps that have short, memorable names (which are probably\nthe most useful ones) are visible here:\n\n\u003cimg src=\"./doc/assets/images/named.png\" width=\"800\"\u003e\n\nBut the complete set of 100+ is shown in the [User Guide](https://colorcet.holoviz.org/user_guide).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/bokeh.github.io%2Fcolorcet","html_url":"https://awesome.ecosyste.ms/projects/bokeh.github.io%2Fcolorcet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/bokeh.github.io%2Fcolorcet/lists"}