https://github.com/xarray-contrib/xskillscore

Metrics for verifying forecasts
https://github.com/xarray-contrib/xskillscore

forecasting metrics pangeo verification

Last synced: 3 days ago
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Metrics for verifying forecasts

• Host: GitHub
• URL: https://github.com/xarray-contrib/xskillscore
• Owner: xarray-contrib
• License: apache-2.0
• Created: 2018-06-14T19:23:57.000Z (over 6 years ago)
• Default Branch: main
• Last Pushed: 2024-04-02T20:08:31.000Z (7 months ago)
• Last Synced: 2024-06-11T16:54:25.593Z (5 months ago)
• Topics: forecasting, metrics, pangeo, verification
• Language: Python
• Homepage: https://xskillscore.readthedocs.io/en/stable/
• Size: 2.28 MB
• Stars: 215
• Watchers: 14
• Forks: 36
• Open Issues: 40
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.rst
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Citation: CITATION.cff

Awesome Lists containing this project

• awesome-meteo - xskillscore
• open-sustainable-technology - xskillscore - An open source project and Python package that provides verification metrics of deterministic (and probabilistic from properscoring) forecasts with xarray. (Climate Change / Climate Data Processing and Analysis)

README

        
xskillscore: Metrics for verifying forecasts

============================================

.. image:: https://github.com/xarray-contrib/xskillscore/actions/workflows/xskillscore_testing.yml/badge.svg

   :target: https://github.com/xarray-contrib/xskillscore/actions/workflows/xskillscore_testing.yml

.. image:: https://github.com/xarray-contrib/xskillscore/actions/workflows/upstream-dev-ci.yml/badge.svg

   :target: https://github.com/xarray-contrib/xskillscore/actions/workflows/upstream-dev-ci.yml

.. image:: https://results.pre-commit.ci/badge/github/xarray-contrib/xskillscore/main.svg

   :target: https://results.pre-commit.ci/latest/github/xarray-contrib/xskillscore/main

.. image:: https://img.shields.io/pypi/v/xskillscore.svg

   :target: https://pypi.python.org/pypi/xskillscore/

.. image:: https://codecov.io/gh/xarray-contrib/xskillscore/branch/main/graph/badge.svg

   :target: https://codecov.io/gh/xarray-contrib/xskillscore

.. image:: https://img.shields.io/readthedocs/xskillscore/stable.svg?style=flat

   :target: https://xskillscore.readthedocs.io/en/stable/?badge=stable

.. image:: https://img.shields.io/conda/vn/conda-forge/xskillscore.svg

   :target: https://anaconda.org/conda-forge/xskillscore

.. image:: https://mybinder.org/badge_logo.svg

   :target: https://mybinder.org/v2/gh/raybellwaves/xskillscore-tutorial/master?urlpath=lab

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5173152.svg

   :target: https://doi.org/10.5281/zenodo.5173152

**xskillscore** is an open source project and Python package that provides verification

metrics of deterministic (and probabilistic from `properscoring`) forecasts with `xarray`.

Installing

----------

``$ conda install -c conda-forge xskillscore``

or

``$ pip install xskillscore``

or

``$ pip install git+https://github.com/xarray-contrib/xskillscore``

Documentation

-------------

Documentation can be found on `readthedocs `_.

See also

--------

- If you are interested in using **xskillscore** for data science where you data is mostly in

  ``pandas.DataFrames``'s check out the `xskillscore-tutorial `_

- If you are interested in using **xskillscore** for climate prediction check out

  `climpred `_.

History

-------

**xskillscore** was orginally developed to parallelize forecast metrics of the multi-model-multi-ensemble

forecasts associated with the `SubX `_ project.

We are indebted to the **xarray** community for their

`advice `_

in getting this package started.