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Colour 0.3.12

Mansencal, Thomas; Mauderer, Michael; Parsons, Michael; Canavan, Luke; Cooper, Sean; Shaw, Nick; Wheatley, Kevin; Crowson, Katherine; Lev, Ofek; Leinweber, Katrin; Vandenberg, Jean D.

Colour Science for Python

Colour is a Python colour science package implementing a comprehensive number of colour theory transformations and algorithms.

It is open source and freely available under the New BSD License terms: http://opensource.org/licenses/BSD-3-Clause

Features

Colour features a rich dataset and collection of objects, please see the highlights page for more information: https://www.colour-science.org/features

Installation

The installation procedure is described in the Installation Guide: https://www.colour-science.org/installation-guide

Usage

The two main references for Colour usage are the Colour Manual and the Jupyter Notebooks with detailed historical and theoretical context and images:

  • Colour Manual: https://colour.readthedocs.io/en/latest
  • Jupyter Notebooks: https://nbviewer.jupyter.org/github/colour-science/colour-notebooks/blob/master/notebooks/colour.ipynb

Contributing

If you would like to contribute to Colour, please refer to the following Contributing guide: https://www.colour-science.org/contributing

Changes

The changes are viewable on the Releases page: https://github.com/colour-science/colour/releases

Bibliography

The bibliography is available on the Bibliography page: https://www.colour-science.org/bibliography

It is also viewable directly from the repository in BibTeX (https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.bib) format.

About

Colour by Colour Developers - 2013-2019
Copyright © 2013-2019 – Colour Developers – colour-science@googlegroups.com
This software is released under terms of New BSD License: http://opensource.org/licenses/BSD-3-Clause
http://github.com/colour-science/colour

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