hsluv 5.0.5rc1

A Python implementation of HSLuv (revision 4).

Installation

pip install hsluv

Python 2 users: pip install hsluv==5.0.0

Usage

This library does not hide (clamp) floating point error, e.g. you might receive a value outside of the expected range. If you wish to display the outputs of this library, consider rounding them for your purpose. The floating point error has not been quantified, but at least 10 decimal digits should be free of it.

hsluv_to_hex([hue, saturation, lightness])

hue is a float between 0 and 360, saturation and lightness are floats between 0 and 100. This function returns the resulting color as a hex string.

hsluv_to_rgb([hue, saturation, lightness])

Like above, but returns a list of 3 floats between 0 and 1, for each RGB channel.

hex_to_hsluv(hex)

Takes a hex string and returns the HSLuv color as a list of floats as defined above.

rgb_to_hsluv([red, green, blue])

Like above, but red, green and blue are passed as floats between 0 and 1.

For HPLuv (the pastel variant), use hpluv_to_hex, hpluv_to_rgb, hex_to_hpluv and rgb_to_hpluv.

Testing

Run python -m unittest discover -v.

Publishing to PyPI

• On PyPI, open the hsluv project's Manage → Publishing page and configure a GitHub Trusted Publisher: owner hsluv, repository hsluv-python, workflow publish.yml.
• Update __version__ in hsluv.py to an unused version (e.g. 5.0.5rc1 for a pre-release) and push the commit to the branch you want to publish.
• Open Actions → Publish to PyPI → Run workflow, select that branch, and run it to build and upload to production PyPI. No tag or GitHub release is needed.
• Verify the release on PyPI. Published versions cannot be reused.

Authors

• Robert McGinley (mcginleyr1)
• Alexei Boronine (boronine)
• Sebastian Pipping (hartwork)