basic-colormath2

A python module that abstracts common color math operations. For example, converting from CIE L*a*b to XYZ, or from RGB to CMYK

https://github.com/gtaylor/python-colormath

Science Score: 13.0%

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  • Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary

Keywords from Contributors

closember gtk qt tk wx tensors
Last synced: 11 months ago · JSON representation

Repository

A python module that abstracts common color math operations. For example, converting from CIE L*a*b to XYZ, or from RGB to CMYK

Basic Info
Statistics
  • Stars: 463
  • Watchers: 18
  • Forks: 88
  • Open Issues: 15
  • Releases: 6
Archived
Created almost 16 years ago · Last pushed over 2 years ago
Metadata Files
Readme Changelog License

README.rst

Python Color Math Module (colormath)
====================================

**Note: This module is no longer actively maintained.**

.. start-badges

|actions|

.. |actions| image:: https://github.com/gtaylor/python-colormath/workflows/Continuous%20Integration/badge.svg
    :target: https://github.com/gtaylor/python-colormath/actions
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This module implements a large number of different color operations such as
color space conversions, Delta E, and density to spectral.

Requirements
------------

* numpy
* NetworkX 2.0+
* Python 2.7 or Python 3.5+

Installation
------------

The easiest way to install colormath is via pip/easy_install::

    $ pip install colormath

The development dependencies are installed as follows:

    $ pip install 'colormath[development]'

Documentation
-------------

For documentation, see the project webpage at:

    http://python-colormath.readthedocs.org/

There are also a lot of useful examples under the examples directory within
this directory.

Support
-------

Head over to https://github.com/gtaylor/python-colormath
and submit an issue if you have any problems or questions.

Legal Mumbo Jumbo
-----------------

Copyright (C) 2008-2023 `Gregory Taylor`_

This software is licensed under the BSD License.

.. _Gregory Taylor: http://gc-taylor.com

Owner

  • Name: Greg Taylor
  • Login: gtaylor
  • Kind: user
  • Location: Los Gatos, CA
  • Company: @netflix

@Netflix Dev Spaces team

GitHub Events

Total
  • Watch event: 14
  • Fork event: 5
Last Year
  • Watch event: 14
  • Fork event: 5

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 200
  • Total Committers: 27
  • Avg Commits per committer: 7.407
  • Development Distribution Score (DDS): 0.585
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Greg Taylor g****r@d****m 83
Greg Taylor g****r@g****m 52
Thomas Mansencal t****l@g****m 10
Greg Taylor g****r@l****m 8
Michael Mauderer m****l@m****e 8
Greg Taylor g****r@r****m 7
JasonTam j****2@g****m 6
Greg Taylor s****s@g****m 5
Martin Falatic m****n@f****m 2
eddie bell e****e@l****m 2
Anatolii Aniskovych l****n@g****m 1
Christian Schramm c****h@s****e 1
Phil Ewels p****s@s****e 1
Andreas Hilboll a****s@h****e 1
Kent Ross r****n@g****m 1
Jan Warchoł j****l@g****m 1
James Meickle e****n@g****m 1
Greg Taylor g****r@u****m 1
Michael Mauderer m****l@m****m 1
Mitchell Chapman m****n@b****) 1
root r****t@t****m 1
Tim Gates t****s@i****m 1
elpres i****n@g****m 1
Dan Bullok d****n@c****m 1
endolith e****h@g****m 1
Bastien Dejean n****l@g****m 1
thatneat t****t@u****m 1

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 62
  • Total pull requests: 38
  • Average time to close issues: 4 months
  • Average time to close pull requests: 20 days
  • Total issue authors: 48
  • Total pull request authors: 25
  • Average comments per issue: 3.24
  • Average comments per pull request: 2.21
  • Merged pull requests: 28
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • MichaelMauderer (5)
  • ChameleonRed (5)
  • gtaylor (3)
  • tenberg (2)
  • KelSolaar (2)
  • markwbrown (2)
  • lx1054331851 (2)
  • vip594nb (1)
  • Shadercloud (1)
  • electricgobo (1)
  • imansaj (1)
  • protogeezer (1)
  • firaki12345-cmd (1)
  • ducbluee (1)
  • FlavienMakesInfographics (1)
Pull Request Authors
  • KelSolaar (6)
  • MichaelMauderer (3)
  • MartyMacGyver (3)
  • ejlb (2)
  • ZipFile (2)
  • dwbullok (2)
  • endolith (2)
  • ahmetuludag (1)
  • Ed-von-Schleck (1)
  • jan-warchol (1)
  • Mattwmaster58 (1)
  • elpres (1)
  • mark-meyer (1)
  • markwbrown (1)
  • dastanko (1)
Top Labels
Issue Labels
Docs (4) Feature (3) Bug (1) Needs Feedback (1) Design Decision (1)
Pull Request Labels
Feature (1)

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 218,523 last-month
  • Total docker downloads: 87,966
  • Total dependent packages: 38
    (may contain duplicates)
  • Total dependent repositories: 300
    (may contain duplicates)
  • Total versions: 19
  • Total maintainers: 2
pypi.org: colormath

Color math and conversion library.

  • Versions: 16
  • Dependent Packages: 35
  • Dependent Repositories: 283
  • Downloads: 218,523 Last month
  • Docker Downloads: 87,966
Rankings
Dependent packages count: 0.6%
Docker downloads count: 0.8%
Dependent repos count: 0.9%
Downloads: 1.5%
Average: 2.0%
Stargazers count: 2.9%
Forks count: 5.3%
Maintainers (1)
Last synced: 11 months ago
conda-forge.org: colormath

This module implements a large number of different color operations such as color space conversions, Delta E, and density to spectral.

  • Versions: 2
  • Dependent Packages: 3
  • Dependent Repositories: 17
Rankings
Dependent repos count: 8.6%
Dependent packages count: 15.6%
Average: 16.6%
Stargazers count: 19.3%
Forks count: 22.9%
Last synced: 11 months ago
pypi.org: basic-colormath2

Simple color conversion and perceptual (DeltaE CIE 2000) difference

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 9.5%
Average: 36.0%
Dependent repos count: 62.5%
Maintainers (1)
Last synced: over 1 year ago

Dependencies

requirements.txt pypi
  • networkx >=2.0
  • nose *
  • numpy *
setup.py pypi
  • numpy *
.github/workflows/continuous-integration.yml actions
  • actions/checkout v1 composite
  • actions/setup-python v1 composite