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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.
Features
Colour features a rich dataset and collection of objects, please see the features page for more information.
Installation
The detailed installation procedure is described in the Installation Guide.
Anaconda from Continuum Analytics is the Python distribution we use to develop Colour: it ships all the scientific dependencies we require and is easily deployed cross-platform.
This asciicast demonstrates how to generate a pristine Python conda environment for Colour:
Usage
At its most basic, Colour only requires to be imported:
The two main references for Colour usage are the complete Sphinx API Reference and the Jupyter Notebooks with detailed historical and theoretical context and images:
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 either BibTeX format or reStructuredText.
About
1 maintainer
Metadata
1 maintainer
Release files for colour-science 0.3.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| colour-science-0.3.10.tar.gz | 10.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| colour_science-0.3.10-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 13.4 MB
Release files / colour-science-0.3.10.tar.gz
| Download URL | colour-science-0.3.10.tar.gz |
|---|---|
| Size | 10.5 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / colour_science-0.3.10-py2.py3-none-any.whl
| Download URL | colour_science-0.3.10-py2.py3-none-any.whl |
|---|---|
| Size | 2.9 MB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
