xskillscore: Metrics for verifying forecasts
+---------------------------+-------------------------------------------+ | Documentation and Support | |docs| |binder| | +---------------------------+-------------------------------------------+ | Open Source | |pypi| |conda-forge| |license| |zenodo| | +---------------------------+-------------------------------------------+ | Coding Standards | |codecov| |pre-commit| | +---------------------------+-------------------------------------------+ | Development Status | |status| |testing| |upstream| | +---------------------------+-------------------------------------------+
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 <https://xskillscore.readthedocs.io/en/latest/>_.
See also
- If you are interested in using xskillscore for data science where you data is mostly in
pandas.DataFrames's check out thexskillscore-tutorial <https://github.com/raybellwaves/xskillscore-tutorial>_. - If you are interested in using xskillscore for climate prediction check out
climpred <https://climpred.readthedocs.io/en/stable/>_.
History
xskillscore was originally developed to parallelize forecast metrics of the multi-model-multi-ensemble forecasts associated with the SubX <https://journals.ametsoc.org/doi/pdf/10.1175/BAMS-D-18-0270.1>_ project.
We are indebted to the xarray community for their advice <https://groups.google.com/forum/#!searchin/xarray/xskillscore%7Csort:date/xarray/z8ue0G-BLc8/Cau-dY_ACAAJ>_ in getting this package started.
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3 maintainers
Metadata
3 maintainers
Release files for xskillscore 0.0.29
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