Code as a research output can either be uploaded directly from your computer or through the code management system GitHub. Versioning of code repositories is supported.
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
Colour features a rich dataset and collection of objects, please see the highlights page for more information: http://colour-science.org/features
The installation procedure is described in the Installation Guide: http://colour-science.org/installation-guide
The two main references for Colour usage are the complete sphinx API Reference and the IPython Notebooks with detailed historical and theoretical context and images:
- API Reference: http://colour.readthedocs.io/en/latest
- Jupyter Notebooks: http://nbviewer.jupyter.org/github/colour-science/colour-notebooks/blob/master/notebooks/colour.ipynb
If you would like to contribute to Colour, please refer to the following Contributing guide: http://colour-science.org/contributing
The changes are viewable on the Releases page: https://github.com/colour-science/colour/releases
The bibliography is available on the Bibliography page: http://colour-science.org/bibliography
It is also viewable directly from the repository in either BibTeX (https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.bib) format or reStructuredText (https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.rst).
Colour by Colour Developers - 2013-2017
Copyright © 2013-2017 – Colour Developers – email@example.com
This software is released under terms of New BSD License: http://opensource.org/licenses/BSD-3-Clause