Skip to main content

Color math and conversion library.

Project description

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

  • Python 2.7 or Python 3.3+

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

colormath-2.0.2.tar.gz (27.1 kB view details)

Uploaded Source

File details

Details for the file colormath-2.0.2.tar.gz.

File metadata

  • Download URL: colormath-2.0.2.tar.gz
  • Upload date:
  • Size: 27.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for colormath-2.0.2.tar.gz
Algorithm Hash digest
SHA256 c5bc980a573092bb849b4f27682335f0b5454b82a772e2d7ee6d257389dd0b3b
MD5 c2c0c84bb6b800a2df121983300c6a21
BLAKE2b-256 1f8d10a24bcac1c9e801fd62528ede0b1a5479ad9fa72a49ed37bceed3b658ae

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page