colorcet
A set of useful perceptually uniform colormaps for plotting scientific data
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.5%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
A set of useful perceptually uniform colormaps for plotting scientific data
Basic Info
- Host: GitHub
- Owner: holoviz
- License: other
- Language: Python
- Default Branch: main
- Homepage: http://colorcet.holoviz.org
- Size: 12.2 MB
Statistics
- Stars: 709
- Watchers: 16
- Forks: 61
- Open Issues: 2
- Releases: 11
Topics
Metadata Files
README.md

Colorcet: Collection of perceptually uniform colormaps
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What is it?
Colorcet is a collection of perceptually uniform colormaps for use with Python plotting programs like bokeh, matplotlib, holoviews, and datashader based on the set of perceptually uniform colormaps created by Peter Kovesi at the Center for Exploration Targeting.
Installation
Colorcet supports Python 3.9 and greater on Linux, Windows, or Mac and can be installed with conda:
sh
conda install colorcet
or with pip:
sh
python -m pip install colorcet
To work with JupyterLab you will also need the PyViz JupyterLab extension:
sh
conda install -c conda-forge jupyterlab
jupyter labextension install @pyviz/jupyterlab_pyviz
Once you have installed JupyterLab and the extension launch it with:
sh
jupyter-lab
If you want to try out the latest features between releases, you can get the latest dev release by installing:
sh
conda install -c pyviz/label/dev colorcet
For more information take a look at Getting Started.
Learning more
You can see all the details about the methods used to create these colormaps in Peter Kovesi's 2015 arXiv paper. Other useful background is available in a 1996 paper from IBM.
The Matplotlib project also has a number of relevant resources, including an excellent 2015 SciPy talk, the viscm tool for creating maps like the four in mpl, the cmocean site collecting a set of maps created by viscm, and the discussion of how the mpl maps were created.
Samples
Some of the Colorcet colormaps that have short, memorable names (which are probably the most useful ones) are visible here:

But the complete set of 100+ is shown in the User Guide.
Owner
- Name: HoloViz
- Login: holoviz
- Kind: organization
- Website: https://holoviz.org
- Repositories: 14
- Profile: https://github.com/holoviz
High-level tools to simplify visualization in Python
GitHub Events
Total
- Issues event: 9
- Watch event: 20
- Delete event: 4
- Issue comment event: 39
- Push event: 32
- Pull request review comment event: 65
- Pull request review event: 69
- Pull request event: 19
- Fork event: 10
- Create event: 4
Last Year
- Issues event: 9
- Watch event: 20
- Delete event: 4
- Issue comment event: 39
- Push event: 32
- Pull request review comment event: 65
- Pull request review event: 69
- Pull request event: 19
- Fork event: 10
- Create event: 4
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| James A. Bednar | j****r@c****o | 48 |
| Maxime Liquet | 3****t | 28 |
| Julia Signell | j****l@g****m | 13 |
| Kenneth Bowen | k****0@g****m | 6 |
| Simon Høxbro Hansen | s****n@m****m | 5 |
| Azaya | 9****9 | 3 |
| Chris B | c****l | 3 |
| Kian-Meng Ang | k****g@g****m | 2 |
| Jean-Luc Stevens | j****s@g****m | 2 |
| Randy Pittman | r****n@o****m | 2 |
| myd7349 | m****9@g****m | 2 |
| Coderambling | 1****g | 1 |
| Demetris Roumis | r****d@g****m | 1 |
| Dougal J. Sutherland | d****l@g****m | 1 |
| Jeremy T. Hetzel | j****l@g****m | 1 |
| Kim Pevey | k****y@g****m | 1 |
| Philipp Kats | c****l@g****m | 1 |
| Tim Waterson | 5****n | 1 |
| bersbersbers | 1****s | 1 |
| Gil Ilan Haham | g****6@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 37
- Total pull requests: 102
- Average time to close issues: 4 months
- Average time to close pull requests: 23 days
- Total issue authors: 29
- Total pull request authors: 25
- Average comments per issue: 3.19
- Average comments per pull request: 1.61
- Merged pull requests: 85
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 4
- Pull requests: 22
- Average time to close issues: 8 days
- Average time to close pull requests: 4 days
- Issue authors: 3
- Pull request authors: 8
- Average comments per issue: 1.25
- Average comments per pull request: 1.86
- Merged pull requests: 17
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- bersbersbers (3)
- endolith (2)
- jbednar (2)
- randallpittman (2)
- maximlt (2)
- philippjfr (2)
- Azaya89 (2)
- lcniel (1)
- pnsvk (1)
- wmayner (1)
- jpjarnoux (1)
- jsharpe (1)
- ivan-marroquin (1)
- andreaskoelsch (1)
- QuLogic (1)
Pull Request Authors
- maximlt (32)
- jsignell (13)
- jbednar (7)
- kebowen730 (6)
- Azaya89 (6)
- randallpittman (5)
- myd7349 (4)
- ceball (4)
- hoxbro (4)
- Hoxbro (3)
- kianmeng (2)
- jlstevens (2)
- bersbersbers (2)
- kcpevey (2)
- einsmein (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 4
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Total downloads:
- pypi 896,471 last-month
- Total docker downloads: 19,100,942
-
Total dependent packages: 125
(may contain duplicates) -
Total dependent repositories: 1,078
(may contain duplicates) - Total versions: 50
- Total maintainers: 3
pypi.org: colorcet
Collection of perceptually uniform colormaps
- Homepage: https://colorcet.holoviz.org
- Documentation: https://colorcet.readthedocs.io/
- License: CC-BY License
-
Latest release: 3.1.0
published almost 2 years ago
Rankings
proxy.golang.org: github.com/holoviz/colorcet
- Documentation: https://pkg.go.dev/github.com/holoviz/colorcet#section-documentation
- License: other
-
Latest release: v3.1.0+incompatible
published almost 2 years ago
Rankings
conda-forge.org: colorcet
HoloViz Colorcet provides perceptually accurate, 256-color colormaps, including both continuous and categorical types, designed for use with tools like Bokeh, Matplotlib, HoloViews, and Datashader.
- Homepage: https://github.com/holoviz/colorcet
- License: CC-BY-4.0
-
Latest release: 3.0.1
published over 3 years ago
Rankings
anaconda.org: colorcet
HoloViz Colorcet provides perceptually accurate, 256-color colormaps, including both continuous and categorical types, designed for use with tools like Bokeh, Matplotlib, HoloViews, and Datashader.
- Homepage: https://github.com/holoviz/colorcet
- License: CC-BY-4.0
-
Latest release: 3.1.0
published almost 2 years ago
Rankings
Dependencies
- pyct *
- actions/checkout v3 composite
- actions/setup-python v4 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
- peaceiris/actions-gh-pages v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- codecov/codecov-action v3 composite
- conda-incubator/setup-miniconda v2 composite