Colour: Spectral Datasets and Color Space Definitions for Python

Supplying spectral datasets and color space definitions maintained by the colour-science organization, updated as of March 2026. It serves as a foundational resource for color science research, offering standardized data for spectral power distributions and colorimetric calculations. The repository is specifically designed for integration with Python-based color science workflows.

Use Cases

• Calculating tristimulus values using spectral power distributions and color matching functions
• Converting between different color spaces using standardized transformation matrices
• Simulating color appearance under various standard illuminants

Strengths

• Includes specialized spectral-data tags for scientific colorimetry
• Released under the permissive BSD-3-Clause license
• Maintained by the specialized colour-science organization

Limitations

• Lack of explicit row counts or file size information in the metadata
• Requires domain-specific knowledge of colorimetry to interpret spectral values

Provenance

Source

colour-science organization on GitHub

Freshness

Updated as of March 2026.

Geography

Global