Skip to main content
https://travis-ci.org/gtaylor/python-colormath.png?branch=master https://pypip.in/d/colormath/badge.png

This module implements a large number of different color operations such as color space conversions, Delta E, and density to spectral.

Requirements

  • numpy

  • NetworkX 2.0+

  • Python 2.7 or Python 3.5+

Installation

The easiest way to install colormath is via pip/easy_install:

pip install colormath

Documentation

For documentation, see the project webpage at:

http://python-colormath.readthedocs.org/

There are also a lot of useful examples under the examples directory within this directory.

Support

Head over to https://github.com/gtaylor/python-colormath and submit an issue if you have any problems or questions.

Metadata

Release files for colormath 3.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for colormath 3.0.0
File Size Uploaded Provenance
colormath-3.0.0.tar.gz 39.8 kB Without provenance Details

Release files / colormath-3.0.0.tar.gz

Download URL colormath-3.0.0.tar.gz
Size 39.8 kB
Tags Source
SHA-256 checksum
How to use checksums
3d4605af344527da0e4f9f504fad7ddbebda35322c566a6c72e28edb1ff31217
BLAKE2b-256 checksum
How to use checksums
cecf70ea34103a76cc6fb1892289bda321cd0cc73b1a5500ee7fe9ef9f64acef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for colormath 3.0.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page