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

Project description

Iris

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

⚙️ CI ci-manifest ci-tests ci-wheels pre-commit
💬 Community Contributor Covenant GH Discussions twitter
📖 Documentation rtd
📈 Health codecov
✨ Meta code style - black NEP29 license - bds-3-clause conda platform
📦 Package DOI conda-forge pypi pypi - python version
🧰 Repo commits-since contributors release

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

#ShowYourStripes

#showyourstripes Global 1850-2021

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

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