colorspacious

A powerful, accurate, and easy-to-use Python library for doing colorspace conversions

https://github.com/njsmith/colorspacious

Science Score: 33.0%

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
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.zenodo.json file
✓
DOI references
Found 1 DOI reference(s) in README
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Academic publication links
Links to: science.org, zenodo.org
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Committers with academic emails
4 of 9 committers (44.4%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (15.3%) to scientific vocabulary

Keywords

color color-blindness colour colour-blindness python

Keywords from Contributors

closember gtk qt tk wx astronomy astropy

Last synced: 6 months ago · JSON representation

Repository

A powerful, accurate, and easy-to-use Python library for doing colorspace conversions

Basic Info

Host: GitHub
Owner: njsmith
License: mit
Language: Python
Default Branch: master
Size: 1.09 MB

Statistics

Stars: 179
Watchers: 11
Forks: 19
Open Issues: 20
Releases: 0

Topics

color color-blindness colour colour-blindness python

Created over 10 years ago · Last pushed over 6 years ago

Metadata Files

Readme License

README.rst

colorspacious
=============

.. image:: https://travis-ci.org/njsmith/colorspacious.svg?branch=master
   :target: https://travis-ci.org/njsmith/colorspacious
   :alt: Automated test status

.. image:: https://codecov.io/gh/njsmith/colorspacious/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/njsmith/colorspacious
   :alt: Test coverage

.. image:: https://readthedocs.org/projects/colorspacious/badge/?version=latest
   :target: http://colorspacious.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status

.. image:: https://zenodo.org/badge/38525000.svg
   :target: https://zenodo.org/badge/latestdoi/38525000

Colorspacious is a powerful, accurate, and easy-to-use library for
performing colorspace conversions.

In addition to the most common standard colorspaces (sRGB, XYZ, xyY,
CIELab, CIELCh), we also include: color vision deficiency ("color
blindness") simulations using the approach of Machado et al (2009); a
complete implementation of `CIECAM02
`_; and the perceptually
uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
(2006).

To get started, simply write::

  from colorspacious import cspace_convert

  Jp, ap, bp = cspace_convert([64, 128, 255], "sRGB255", "CAM02-UCS")

This converts an sRGB value (represented as integers between 0-255) to
CAM02-UCS `J'a'b'` coordinates (assuming standard sRGB viewing
conditions by default). This requires passing through 4 intermediate
colorspaces; ``cspace_convert`` automatically finds the optimal route
and applies all conversions in sequence:

This function also of course accepts arbitrary NumPy arrays, so
converting a whole image is just as easy as converting a single value.

Documentation:
  http://colorspacious.readthedocs.org/

Installation:
  ``pip install colorspacious``

Downloads:
  https://pypi.python.org/pypi/colorspacious/

Code and bug tracker:
  https://github.com/njsmith/colorspacious

Contact:
  Nathaniel J. Smith 

Dependencies:
  * Python 2.6+, or 3.3+
  * NumPy

Developer dependencies (only needed for hacking on source):
  * nose: needed to run tests

License:
  MIT, see LICENSE.txt for details.

References for algorithms we implement:
  * Luo, M. R., Cui, G., & Li, C. (2006). Uniform colour spaces based on
    CIECAM02 colour appearance model. Color Research & Application, 31(4),
    320–330. doi:10.1002/col.20227
  * Machado, G. M., Oliveira, M. M., & Fernandes, L. A. (2009). A
    physiologically-based model for simulation of color vision
    deficiency. Visualization and Computer Graphics, IEEE Transactions on,
    15(6), 1291–1298. http://www.inf.ufrgs.br/~oliveira/pubs_files/CVD_Simulation/CVD_Simulation.html

Other Python packages with similar functionality that you might want
to check out as well or instead:

* ``colour``: http://colour-science.org/
* ``colormath``: http://python-colormath.readthedocs.org/
* ``ciecam02``: https://pypi.python.org/pypi/ciecam02/
* ``ColorPy``: http://markkness.net/colorpy/ColorPy.html

Owner

Name: Nathaniel J. Smith
Login: njsmith
Kind: user

Website: https://vorpus.org
Repositories: 135
Profile: https://github.com/njsmith

GitHub Events

Total

Issues event: 2
Watch event: 8
Issue comment event: 1
Pull request event: 4
Fork event: 3

Last Year

Issues event: 2
Watch event: 8
Issue comment event: 1
Pull request event: 4
Fork event: 3

Committers

Last synced: 9 months ago

All Time

Total Commits: 198
Total Committers: 9
Avg Commits per committer: 22.0
Development Distribution Score (DDS): 0.247

Past Year

Commits: 0
Committers: 0
Avg Commits per committer: 0.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Nathaniel J. Smith	n**s@p**m	149
Futrell	f**l@m**u	25
Stefan van der Walt	s**v@b**u	14
Maximilian Nöthe	m**e@t**e	3
Thomas Mansencal	t**l@g**m	2
TFiFiE	n**x@h**m	2
Edward Betts	e**d@4**m	1
Christoph Gohlke	c**e@u**u	1
Brien Dieterle	b**d@g**m	1

Committer Domains (Top 20 + Academic)

uci.edu: 1 4angle.com: 1 tu-dortmund.de: 1 berkeley.edu: 1 mit.edu: 1 pobox.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 27
Total pull requests: 10
Average time to close issues: about 1 month
Average time to close pull requests: 9 days
Total issue authors: 22
Total pull request authors: 9
Average comments per issue: 3.48
Average comments per pull request: 1.7
Merged pull requests: 6
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 2
Pull requests: 3
Average time to close issues: N/A
Average time to close pull requests: 2 minutes
Issue authors: 1
Pull request authors: 2
Average comments per issue: 0.0
Average comments per pull request: 0.33
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

kloczek (2)
bkmgit (2)
TFiFiE (2)
maxnoe (2)
nschloe (2)
mpetroff (1)
sandrotosi (1)
JohannesBuchner (1)
rathann (1)
denis-bz (1)
averyfreeman (1)
r-barnes (1)
Tronic (1)
socketpair (1)
mycarta (1)

Pull Request Authors

bkmgit (4)
emollier (2)
joukewitteveen (1)
EdwardBetts (1)
njsmith (1)
KelSolaar (1)
briend (1)
maxnoe (1)
TFiFiE (1)

Top Labels

Issue Labels

Pull Request Labels

Packages

Total packages: 4
Total downloads:
- pypi 73,155 last-month
Total docker downloads: 2,289

Total dependent packages: 24
(may contain duplicates)
Total dependent repositories: 276
(may contain duplicates)
Total versions: 9
Total maintainers: 2

pypi.org: colorspacious

A powerful, accurate, and easy-to-use Python library for doing colorspace conversions

Homepage: https://github.com/njsmith/colorspacious
Documentation: https://colorspacious.readthedocs.io/
License: MIT
Latest release: 1.1.2
published almost 8 years ago

Versions: 6
Dependent Packages: 18
Dependent Repositories: 250
Downloads: 73,155 Last month
Docker Downloads: 2,289

Rankings

Dependent packages count: 1.0%

Dependent repos count: 1.0%

Docker downloads count: 1.4%

Downloads: 1.9%

Average: 3.3%

Stargazers count: 5.6%

Forks count: 8.7%

Maintainers (1)

njs

Last synced: 6 months ago

conda-forge.org: colorspacious

Homepage: https://github.com/njsmith/colorspacious
License: MIT
Latest release: 1.1.2
published over 7 years ago

Versions: 1
Dependent Packages: 5
Dependent Repositories: 13

Rankings

Dependent repos count: 9.8%

Dependent packages count: 10.4%

Average: 22.1%

Stargazers count: 29.3%

Forks count: 38.8%

Last synced: 6 months ago

spack.io: py-colorspacious

A powerful, accurate, and easy-to-use Python library for doing colorspace conversions.

Homepage: https://github.com/njsmith/colorspacious
License: []
Latest release: 1.1.2
published almost 4 years ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent repos count: 0.0%

Stargazers count: 15.7%

Forks count: 22.4%

Average: 23.8%

Dependent packages count: 57.3%

Maintainers (1)

adamjstewart

Last synced: 6 months ago

Colorspacious is a powerful, accurate, and easy-to-use library for performing colorspace conversions. In addition to the most common standard colorspaces (sRGB, XYZ, xyY, CIELab, CIELCh), it also includes: color vision deficiency ("color blindness") simulations using the approach of Machado et al (2009); a complete implementation of CIECAM02; and the perceptually uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al (2006).

Homepage: https://github.com/njsmith/colorspacious
License: MIT
Latest release: 1.1.2
published almost 3 years ago

Versions: 1
Dependent Packages: 1
Dependent Repositories: 13

Rankings

Dependent packages count: 30.7%

Dependent repos count: 35.9%

Average: 38.9%

Stargazers count: 40.7%

Forks count: 48.3%

Last synced: 6 months ago

Dependencies

doc/requirements.txt pypi

ipython *
jsonschema *
matplotlib *
mistune *
numpy *
sphinx_rtd_theme *
sphinxcontrib-bibtex *

setup.py pypi

numpy *

colorspacious

Science Score: 33.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.rst

Owner

GitHub Events

Total

Last Year

Committers

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Past Year

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Committer Domains (Top 20 + Academic)

Issues and Pull Requests

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Packages

pypi.org: colorspacious

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conda-forge.org: colorspacious

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spack.io: py-colorspacious

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Maintainers (1)

anaconda.org: colorspacious

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Dependencies