Skip to content
/ iris Public
forked from SciTools/iris

A powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.

License

LGPL-3.0, GPL-3.0 licenses found

Licenses found

LGPL-3.0
COPYING.LESSER
GPL-3.0
COPYING
Notifications You must be signed in to change notification settings

rcomer/iris

 
 

Repository files navigation

Iris is a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data

ci-tests Documentation Status pre-commit.ci status code coverage

conda-forge pypi latest release Commits since last release zenodo black github discussions twitter scitools_iris

For documentation see the latest developer version or the most recent released stable version.

Graphics and Lead Scientist: Ed Hawkins, National Centre for Atmospheric Science, University of Reading.

Data: Berkeley Earth, NOAA, UK Met Office, MeteoSwiss, DWD, SMHI, UoR, Meteo France & ZAMG.

#ShowYourStripes is distributed under a Creative Commons Attribution 4.0 International License creative-commons-by

About

A powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.

Resources

License

LGPL-3.0, GPL-3.0 licenses found

Licenses found

LGPL-3.0
COPYING.LESSER
GPL-3.0
COPYING

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%