:Author: darkblueb
:Reviewer: Cameron Shorter, LISAsoft
:Version: osgeo-live7.0
:License: Creative Commons Attribution 3.0 Unported (CC BY 3.0)

.. image:: ../../images/project_logos/logo-iris.png
  :alt: Iris project logo
  :align: right
  :target: http://scitools.org.uk/iris/

Iris
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Meteorology and Climatology
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Iris is a powerful, Python library for analysing and visualising meteorological and oceanographic data sets.  It includes data manipulation operations, such as arithmetic, interpolation, and statistics; and a range of integrated plotting options.

Iris currently supports read/write access to a range of data formats, including (CF-)netCDF, GRIB, and PP files.

.. image:: ../../images/screenshots/800x600/iris.jpg
  :alt: Iris
  :align: right
  :scale: 80 %
  
Core Features
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* Use a single API to work on your data, irrespective of its original format.
* Read and write (CF-)netCDF, GRIB, and PP files.
* Easily produce graphs and maps via integration with matplotlib and cartopy.

Details
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**Website:** http://scitools.org.uk/iris/

**Licence:** LGPLv3

**Software Version:** 1.6.1

**Supported Platforms:** Cross Platform Python-- Mac OS X, Windows, and Linux

**API Interfaces:** Python

**Support:** http://www.scitools.org.uk/iris/community.html

Quickstart
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* :doc:`Quickstart documentation <../quickstart/iris_quickstart>`

.. _`GitHub`: https://github.com/SciTools/iris