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colorspace

colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes - Published in JOSS (2024)

https://github.com/retostauffer/python-colorspace

Science Score: 100.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 7 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org
  • ✓
    Committers with academic emails
    3 of 5 committers (60.0%) from academic institutions
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 4 months ago · JSON representation ·

Repository

Python colorspace implementation. Documentation available on https://retostauffer.github.io/python-colorspace/. The latest release is available via the Python Package Index (PyPI) via https://pypi.org/project/colorspace/

Basic Info
  • Host: GitHub
  • Owner: retostauffer
  • License: other
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 101 MB
Statistics
  • Stars: 74
  • Watchers: 9
  • Forks: 15
  • Open Issues: 0
  • Releases: 3
Created over 7 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Code of conduct Citation

README.md

python-colorspace

A Python toolbox for manipulating and assessing colors and palettes

Documentation Examples Testing Coverage status

The package provides a Python 3 version of the R colorspace package comprising:

  • Color spaces: Conversions and manipulations of RGB, HSV, CIEXYZ, CIELAB, CIELUV, HCL etc.
  • HCL-based palettes: Qualitative, sequential, and diverging color maps constructed using the HCL (hue-chroma-luminance) color model. These can closely approximate palettes from ColorBrewer.org, CARTO, viridis, or Crameri's scientific color maps.
  • matplotlib color maps: Integration with matplotlib for use in standard plotting functions.
  • Palette visualization: Plotting palettes in color swatches, spectrums of HCL and/or RGB trajectories, and illustrations of typical data visualizations.
  • Interactive palette chooser: App for exploring, modifying, and picking color palettes interactively.
  • Color vision deficiency: Emulation of different kinds of color blindness.
  • Utilities: Various color manipulations including tools to desaturate, lighten, darken, adjust the transparency, or compute the contrast ratio.

Links

Contributors

  • Reto Stauffer ORCID iD, (principal author & maintainer), Universität Innsbruck, Austria
  • Achim Zeileis ORCID iD, Universität Innsbruck, Austria

We would like to thank the following individuals for their contributions to the review process for this software, as part of the submission to The Journal of Open Source Software (JOSS): Julia Romanowska @jromanowska, Editor ORCID iD, Daniel S. Katz @danielskatz, Editor ORCID iD, David Reagan @dmreagan, Reviewer ORCID iD, Andrew Ting @hollowscene, Reviewer.

Furthermore, the Python package implements the functionality from the R package that is co-written with Ross Ihaka, Paul Murrell ORCID iD, Kurt Hornik ORCID iD, Jason C. Fisher ORCID iD, Claus O. Wilke ORCID iD, Claire D. McWhite ORCID iD.

Citations

Stauffer, R. and Zeileis A. (2024). "colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes." The Journal of Open Source Software, 9(102), 7120, doi:10.21105/joss.07120.

Stauffer, R. and Zeileis, A. (2024). "colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes (v1.0.0)". Zenodo. doi:10.5281/zenodo.14004295.

Development notes

Community guidelines

If you encountery any bugs or issues, or are interested in contributing to Python colorspace, please have a look at our Community guidelines.

Test and development

More detailed information on how to run automated tests, create coverage reports, test examples and render the documentation can be found on our Installation page.

GitHub Action integration (CI)

Additional notes about development and deployment are documented in GITHUBACTIONS.md.

Owner

  • Name: Reto Stauffer
  • Login: retostauffer
  • Kind: user
  • Location: Austria

Working as scientific staff at the University of Innsbruck, Austria. Using github to grant access to some code snippets and packages (most alpha/beta).

JOSS Publication

colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes
Published
October 29, 2024
DOI
Volume 9, Issue 102, Page 7120
Authors
Reto Stauffer ORCID
Department of Statistics, Universität Innsbruck, Austria, Digital Science Center, Universität Innsbruck, Austria
Achim Zeileis ORCID
Department of Statistics, Universität Innsbruck, Austria
Editor
Julia Romanowska ORCID
Tags
color palettes color vision visualization assesment
View PDF Review Thread Software Archive

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "Please use the following citation if referencing this software."
title: "colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes"
version: "1.0.0"
authors:
  - family-names: Stauffer
    given-names: Reto
    affiliation: "Department of Statistics and Digital Science Center, Universität Innsbruck, Austria"
    orcid: "https://orcid.org/0000-0002-3798-5507"
  - family-names: Zeileis
    given-names: Achim
    affiliation: "Department of Statistics, Universität Innsbruck, Austria"
    orcid: "https://orcid.org/0000-0003-0918-3766"
date-released: "2023-10-28"
url: "https://retostauffer.github.io/python-colorspace/"
repository-code: "https://github.com/retostauffer/python-colorspace"
license: "GPL-2.0 | GPL-3.0"
keywords:
   - "colors"
   - "color palettes"
   - "color spaces"
   - "manipulate colors"
   - "HCL"
   - "HCL colors"
   - "color vision deficiencies"

Papers & Mentions

Total mentions: 31

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A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses
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GitHub Events

Total
  • Create event: 9
  • Release event: 8
  • Issues event: 3
  • Watch event: 10
  • Delete event: 7
  • Issue comment event: 3
  • Push event: 39
  • Pull request event: 1
  • Fork event: 1
Last Year
  • Create event: 9
  • Release event: 8
  • Issues event: 3
  • Watch event: 10
  • Delete event: 7
  • Issue comment event: 3
  • Push event: 39
  • Pull request event: 1
  • Fork event: 1

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 648
  • Total Committers: 5
  • Avg Commits per committer: 129.6
  • Development Distribution Score (DDS): 0.076
Past Year
  • Commits: 55
  • Committers: 4
  • Avg Commits per committer: 13.75
  • Development Distribution Score (DDS): 0.164
Top Committers
Name Email Commits
Reto Stauffer r****r@u****t 599
Achim Zeileis A****s@u****t 41
github-actions[bot] g****] 6
Daniel S. Katz d****z@i****g 1
Andrew Ting 5****e 1
Committer Domains (Top 20 + Academic)
uibk.ac.at: 2 ieee.org: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 17
  • Total pull requests: 9
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 3 months
  • Total issue authors: 10
  • Total pull request authors: 6
  • Average comments per issue: 3.18
  • Average comments per pull request: 0.44
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 7
  • Pull requests: 5
  • Average time to close issues: 20 days
  • Average time to close pull requests: 10 days
  • Issue authors: 3
  • Pull request authors: 5
  • Average comments per issue: 2.14
  • Average comments per pull request: 0.8
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • retostauffer (6)
  • dmreagan (2)
  • fmaussion (2)
  • jangler (1)
  • avanavana (1)
  • matteoferla (1)
  • slel (1)
  • zeileis (1)
  • hollowscene (1)
  • meteosimon (1)
Pull Request Authors
  • zeileis (8)
  • retostaufferorg (2)
  • Falk358 (2)
  • danielskatz (2)
  • hollowscene (1)
  • meteosimon (1)
Top Labels
Issue Labels
development (4) bug (3) enhancement (2) wishlist (1)
Pull Request Labels
development (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 796 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 2
  • Total versions: 8
  • Total maintainers: 2
pypi.org: colorspace

A Python toolbox for manipulating and assessing colors and palettes

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 796 Last month
Rankings
Dependent packages count: 10.0%
Dependent repos count: 11.6%
Average: 15.6%
Downloads: 25.1%
Maintainers (2)
zeileis retostauffer
Last synced: 4 months ago

Dependencies

requirements.txt pypi
  • imageio *
  • numpy *
setup.py pypi
  • numpy *
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  • actions/setup-python v4 composite
.github/workflows/quartodoc.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • peaceiris/actions-gh-pages v3 composite