January 25, 2020 Software Open Access

Mansencal, Thomas; Mauderer, Michael; Parsons, Michael; Shaw, Nick; Wheatley, Kevin; Cooper, Sean; Vandenberg, Jean D.; Canavan, Luke; Crowson, Katherine; Lev, Ofek; Leinweber, Katrin; Sharma, Shriramana; Sobotka, Troy James; Moritz, Dominik; Pppp, Matt; Rane, Chinmay; Eswaramoorthy, Pavithra; Mertic, John; Pearlstine, Ben; Leonhardt, Manuel; Niemitalo, Olli; Szymanski, Marek; Schambach, Maximilian

Dublin Core Export

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  <dc:creator>Mansencal, Thomas</dc:creator>
  <dc:creator>Mauderer, Michael</dc:creator>
  <dc:creator>Parsons, Michael</dc:creator>
  <dc:creator>Shaw, Nick</dc:creator>
  <dc:creator>Wheatley, Kevin</dc:creator>
  <dc:creator>Cooper, Sean</dc:creator>
  <dc:creator>Vandenberg, Jean D.</dc:creator>
  <dc:creator>Canavan, Luke</dc:creator>
  <dc:creator>Crowson, Katherine</dc:creator>
  <dc:creator>Lev, Ofek</dc:creator>
  <dc:creator>Leinweber, Katrin</dc:creator>
  <dc:creator>Sharma, Shriramana</dc:creator>
  <dc:creator>Sobotka, Troy James</dc:creator>
  <dc:creator>Moritz, Dominik</dc:creator>
  <dc:creator>Pppp, Matt</dc:creator>
  <dc:creator>Rane, Chinmay</dc:creator>
  <dc:creator>Eswaramoorthy, Pavithra</dc:creator>
  <dc:creator>Mertic, John</dc:creator>
  <dc:creator>Pearlstine, Ben</dc:creator>
  <dc:creator>Leonhardt, Manuel</dc:creator>
  <dc:creator>Niemitalo, Olli</dc:creator>
  <dc:creator>Szymanski, Marek</dc:creator>
  <dc:creator>Schambach, Maximilian</dc:creator>
  <dc:date>2020-01-25</dc:date>
  <dc:description>Colour Science for Python

Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science.

It is freely available under the New BSD License terms.

Colour is an affiliated project of NumFOCUS, a 501(c)(3) nonprofit in the United States.

Features

Colour features a rich dataset and collection of objects, please see the features page for more information.

Online

Colour can be used online with Google Colab.

Installation

Colour can be easily installed from the Python Package Index by issuing this command in a shell:

$ pip install colour-science

Colour is also available for Anaconda from Continuum Analytics via conda-forge:

$ conda install -c conda-forge colour-science

The detailed installation procedure is described in the Installation Guide.

Documentation

Tutorial

The static tutorial provides an introduction to Colour. An interactive version is available via Google Colab.

How-To Guide

The How-To guide for Colour shows various techniques to solve specific problems and highlights some interesting use cases.

API Reference

The main technical reference for Colour and its API is the Colour Manual.

Jupyter Notebooks

Jupyter Notebooks are available and designed to provide an historical perspective of colour science via Colour usage.

Contributing

If you would like to contribute to Colour, please refer to the following Contributing guide.

Changes

The changes are viewable on the Releases page.

Bibliography

The bibliography is available on the Bibliography page.

It is also viewable directly from the repository in BibTeX format.

About

Colour by Colour Developers - 2013-2020
Copyright © 2013-2020 – Colour Developers – colour-science@googlegroups.com
This software is released under terms of New BSD License: https://opensource.org/licenses/BSD-3-Clause
https://github.com/colour-science/colour</dc:description>
  <dc:identifier>https://zenodo.org/record/3627408</dc:identifier>
  <dc:identifier>10.5281/zenodo.3627408</dc:identifier>
  <dc:identifier>oai:zenodo.org:3627408</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/FP7/303780/</dc:relation>
  <dc:relation>url:https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.rst</dc:relation>
  <dc:relation>doi:10.5281/zenodo.605791</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/ecfunded</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/zenodo</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://opensource.org/licenses/BSD-3-Clause</dc:rights>
  <dc:subject>API</dc:subject>
  <dc:subject>Biochemistry</dc:subject>
  <dc:subject>Blackbody</dc:subject>
  <dc:subject>Characterisation</dc:subject>
  <dc:subject>Chromatic Adaptation</dc:subject>
  <dc:subject>Colorimetry</dc:subject>
  <dc:subject>Colour</dc:subject>
  <dc:subject>Colour Appearance Model</dc:subject>
  <dc:subject>Colour Difference</dc:subject>
  <dc:subject>Colour Matching Functions</dc:subject>
  <dc:subject>Colour Model</dc:subject>
  <dc:subject>Colour Notation System</dc:subject>
  <dc:subject>Colour Quality</dc:subject>
  <dc:subject>Colour Rendition Chart</dc:subject>
  <dc:subject>Colour Science</dc:subject>
  <dc:subject>Correlated Colour Temperature</dc:subject>
  <dc:subject>Illuminants</dc:subject>
  <dc:subject>Lightness</dc:subject>
  <dc:subject>Luminance</dc:subject>
  <dc:subject>Luminous Efficiency Function</dc:subject>
  <dc:subject>Open Source</dc:subject>
  <dc:subject>Optical Phenomenon</dc:subject>
  <dc:subject>Photometry</dc:subject>
  <dc:subject>Planckian Radiator</dc:subject>
  <dc:subject>Python</dc:subject>
  <dc:subject>Reflectance Recovery</dc:subject>
  <dc:subject>Spectrum</dc:subject>
  <dc:subject>Tristimulus Values</dc:subject>
  <dc:subject>Whiteness</dc:subject>
  <dc:title>Colour 0.3.15</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
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