{
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        "author": "UK Met Office",
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        "description": "<h1 align=\"center\">\n  <a href=\"https://scitools.org.uk/iris/docs/latest/\" style=\"display: block; margin: 0 auto;\">\n   <img src=\"https://raw.githubusercontent.com/SciTools/iris/master/docs/iris/src/_static/logo_banner.png\"\n        style=\"max-width: 40%;\" alt=\"Iris\"></a><br>\n</h1>\n\n<h4 align=\"center\">\n    Iris is a powerful, format-agnostic, community-driven Python library for\n    analysing and visualising Earth science data\n</h4>\n\n<p align=\"center\">\n<!-- https://shields.io/ is a good source of these -->\n<a href=\"https://anaconda.org/conda-forge/iris\">\n<img src=\"https://img.shields.io/conda/dn/conda-forge/iris.svg\"\n     alt=\"conda-forge downloads\" /></a>\n<a href=\"https://github.com/SciTools/iris/releases\">\n<img src=\"https://img.shields.io/github/tag/SciTools/iris.svg\"\n     alt=\"Latest version\" /></a>\n<a href=\"https://github.com/SciTools/iris/commits/master\">\n<img src=\"https://img.shields.io/github/commits-since/SciTools/iris/latest.svg\"\n     alt=\"Commits since last release\" /></a>\n<a href=\"https://github.com/SciTools/iris/graphs/contributors\">\n<img src=\"https://img.shields.io/github/contributors/SciTools/iris.svg\"\n     alt=\"# contributors\" /></a>\n<a href=\"https://travis-ci.org/SciTools/iris/branches\">\n<img src=\"https://api.travis-ci.org/repositories/SciTools/iris.svg?branch=master\"\n     alt=\"Travis-CI\" /></a>\n<a href=\"https://zenodo.org/badge/latestdoi/5312648\">\n<img src=\"https://zenodo.org/badge/5312648.svg\"\n     alt=\"zenodo\" /></a>\n</p>\n<br>\n\n<!-- NOTE: toc auto-generated with https://github.com/frnmst/md-toc:\n   $ md_toc github README.md -i\n-->\n\n<h1>Table of contents</h1>\n\n[](TOC)\n\n+ [Overview](#overview)\n+ [Documentation](#documentation)\n+ [Installation](#installation)\n+ [Copyright and licence](#copyright-and-licence)\n+ [Contributing](#contributing)\n\n[](TOC)\n\n# Overview\n\nIris implements a data model based on the [CF conventions](http://cfconventions.org/)\ngiving you a powerful, format-agnostic interface for working with your data.\nIt excels when working with multi-dimensional Earth Science data, where tabular\nrepresentations become unwieldy and inefficient.\n\n[CF Standard names](http://cfconventions.org/standard-names.html),\n[units](https://github.com/SciTools/cf_units), and coordinate metadata\nare built into Iris, giving you a rich and expressive interface for maintaining\nan accurate representation of your data. Its treatment of data and\n  associated metadata as first-class objects includes:\n\n  * a visualisation interface based on [matplotlib](https://matplotlib.org/) and\n    [cartopy](https://scitools.org.uk/cartopy/docs/latest/),\n  * unit conversion,\n  * subsetting and extraction,\n  * merge and concatenate,\n  * aggregations and reductions (including min, max, mean and weighted averages),\n  * interpolation and regridding (including nearest-neighbor, linear and area-weighted), and\n  * operator overloads (``+``, ``-``, ``*``, ``/``, etc.)\n\nA number of file formats are recognised by Iris, including CF-compliant NetCDF, GRIB,\nand PP, and it has a plugin architecture to allow other formats to be added seamlessly.\n\nBuilding upon [NumPy](http://www.numpy.org/) and [dask](https://dask.pydata.org/en/latest/),\nIris scales from efficient single-machine workflows right through to multi-core clusters and HPC.\nInteroperability with packages from the wider scientific Python ecosystem comes from Iris'\nuse of standard NumPy/dask arrays as its underlying data storage.\n\n\n# Documentation\n\nThe documentation for Iris is available at <https://scitools.org.uk/iris/docs/latest>,\nincluding a user guide, example code, and gallery.\n\n# Installation\n\nThe easiest way to install Iris is with [conda](https://conda.io/miniconda.html):\n\n    conda install -c conda-forge iris\n\nDetailed instructions, including information on installing from source,\nare available in [INSTALL](INSTALL).\n\n\n# Copyright and licence\n\nIris may be freely distributed, modified and used commercially under the terms\nof its [GNU LGPLv3 license](COPYING.LESSER).\n\n# Contributing\nInformation on how to contribute can be found in the [Iris developer guide](https://scitools.org.uk/iris/docs/latest/developers_guide/index.html).\n\n(C) British Crown Copyright 2010 - 2018, Met Office",
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