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; Olli Niemitalo; Marek Szymanski; Maximilian Schambach
Colour Science for Python
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.
Colour features a rich dataset and collection of objects, please see the features page for more information.
Colour can be used online with Google Colab.
Colour can be easily installed from the Python Package Index by issuing this command in a shell:
$ pip install colour-science
$ conda install -c conda-forge colour-science
The detailed installation procedure is described in the Installation Guide.
The How-To guide for Colour shows various techniques to solve specific problems and highlights some interesting use cases.
The main technical reference for Colour and its API is the Colour Manual.
Jupyter Notebooks are available and designed to provide an historical perspective of colour science via Colour usage.
If you would like to contribute to Colour, please refer to the following Contributing guide.
The changes are viewable on the Releases page.
The bibliography is available on the Bibliography page.
It is also viewable directly from the repository in BibTeX format.
Colour by Colour Developers - 2013-2020
Copyright © 2013-2020 – Colour Developers – email@example.com
This software is released under terms of New BSD License: https://opensource.org/licenses/BSD-3-Clause