climpred

Aims to be the primary package used to analyze output from initialized dynamical forecast models, ranging from short-term weather forecasts to long-term climate forecasts.
https://github.com/pangeo-data/climpred

Category: Climate Change
Sub Category: Climate Data Processing and Analysis

Keywords

climate climate-analysis dask forecasting pangeo prediction python s2d s2s xarray

Keywords from Contributors

compression data-catalog archiving observation climate-model verification earth-system-model transformer opendap data-access

Last synced: about 18 hours ago
JSON representation

Repository metadata

:earth_americas: Verification of weather and climate forecasts :earth_africa:

• Host: GitHub
• URL: https://github.com/pangeo-data/climpred
• Owner: pangeo-data
• License: mit
• Created: 2017-09-16T18:11:33.000Z (over 7 years ago)
• Default Branch: main
• Last Pushed: 2025-04-07T19:53:19.000Z (19 days ago)
• Last Synced: 2025-04-14T16:18:53.666Z (13 days ago)
• Topics: climate, climate-analysis, dask, forecasting, pangeo, prediction, python, s2d, s2s, xarray
• Language: Python
• Homepage: https://climpred.readthedocs.io
• Size: 58.3 MB
• Stars: 242
• Watchers: 8
• Forks: 48
• Open Issues: 13
• Releases: 10
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.rst
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff

README.rst

          .. image:: https://i.imgur.com/HPOdOsR.png

Verification of weather and climate forecasts

..
    Table version of badges inspired by pySTEPS.

.. list-table::
    :stub-columns: 1
    :widths: 10 90

    * - docs
      - |docs| |joss| |doi|
    * - tests
      - |ci| |upstream| |codecov| |precommit|
    * - package
      - |conda| |conda downloads| |pypi| |pypi downloads|
    * - license
      - |license|
    * - community
      - |gitter| |contributors| |forks| |stars| |issues| |PRs|
    * - tutorials
      - |gallery| |workshop| |cloud|

.. |docs| image:: https://img.shields.io/readthedocs/climpred/latest.svg?style=flat
    :target: https://climpred.readthedocs.io/en/stable/?badge=stable
    :alt: Documentation Status

.. |joss| image:: https://joss.theoj.org/papers/246d440e3fcb19025a3b0e56e1af54ef/status.svg
    :target: https://joss.theoj.org/papers/246d440e3fcb19025a3b0e56e1af54ef
    :alt: JOSS paper

.. |doi| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.4556085.svg
    :target: https://doi.org/10.5281/zenodo.4556085
    :alt: DOI

.. |ci| image:: https://github.com/pangeo-data/climpred/actions/workflows/climpred_testing.yml/badge.svg
    :target: https://github.com/pangeo-data/climpred/actions/workflows/climpred_testing.yml
    :alt: CI

.. |upstream| image:: https://github.com/pangeo-data/climpred/actions/workflows/upstream-dev-ci.yml/badge.svg
    :target: https://github.com/pangeo-data/climpred/actions/workflows/upstream-dev-ci.yml
    :alt: CI upstream

.. |codecov| image:: https://codecov.io/gh/pangeo-data/climpred/branch/main/graph/badge.svg
      :target: https://codecov.io/gh/pangeo-data/climpred
      :alt: coverage

.. |precommit| image:: https://results.pre-commit.ci/badge/github/pangeo-data/climpred/main.svg
   :target: https://results.pre-commit.ci/latest/github/pangeo-data/climpred/main
   :alt: pre-commit.ci status

.. |conda| image:: https://img.shields.io/conda/vn/conda-forge/climpred.svg
    :target: https://anaconda.org/conda-forge/climpred
    :alt: Conda Version

.. |pypi| image:: https://img.shields.io/pypi/v/climpred.svg
   :target: https://pypi.python.org/pypi/climpred/
   :alt: pypi Version

.. |license| image:: https://img.shields.io/github/license/pangeo-data/climpred.svg
    :alt: license
    :target: LICENSE.txt

.. |gitter| image:: https://badges.gitter.im/Join%20Chat.svg
    :target: https://gitter.im/climpred
    :alt: gitter chat

.. |contributors| image:: https://img.shields.io/github/contributors/pangeo-data/climpred
    :alt: GitHub contributors
    :target: https://github.com/pangeo-data/climpred/graphs/contributors

.. |conda downloads| image:: https://img.shields.io/conda/dn/conda-forge/climpred
    :alt: Conda downloads
    :target: https://anaconda.org/conda-forge/climpred

.. |pypi downloads| image:: https://pepy.tech/badge/climpred
    :alt: pypi downloads
    :target: https://pepy.tech/project/climpred

.. |gallery| image:: https://img.shields.io/badge/climpred-examples-ed7b0e.svg
    :alt: climpred gallery
    :target: https://mybinder.org/v2/gh/pangeo-data/climpred/main?urlpath=lab%2Ftree%2Fdocs%2Fsource%2Fquick-start.ipynb

.. |workshop| image:: https://img.shields.io/badge/climpred-workshop-f5a252
    :alt: climpred workshop
    :target: https://mybinder.org/v2/gh/bradyrx/climpred_workshop/master

.. |cloud| image:: https://img.shields.io/badge/climpred-cloud_demo-f9c99a
    :alt: climpred cloud demo
    :target: https://github.com/aaronspring/climpred-cloud-demo

.. |forks| image:: https://img.shields.io/github/forks/pangeo-data/climpred
    :alt: GitHub forks
    :target: https://github.com/pangeo-data/climpred/network/members

.. |stars| image:: https://img.shields.io/github/stars/pangeo-data/climpred
    :alt: GitHub stars
    :target: https://github.com/pangeo-data/climpred/stargazers

.. |issues| image:: https://img.shields.io/github/issues/pangeo-data/climpred
    :alt: GitHub issues
    :target: https://github.com/pangeo-data/climpred/issues

.. |PRs| image:: https://img.shields.io/github/issues-pr/pangeo-data/climpred
    :alt: GitHub PRs
    :target: https://github.com/pangeo-data/climpred/pulls

..


    We are actively looking for new contributors for climpred!
    `Riley `_ moved to McKinsey's
    Climate Analytics team as a climate software engineer.
    `Aaron `_ moved to XING as a data scientist.
    We especially hope for python enthusiasts from seasonal, subseasonal or weather
    prediction community. In our past coding journey, collaborative coding, feedbacking
    issues and pull requests advanced our code and thinking about forecast verification
    more than we could have ever expected.
    Feel free to implement your own new feature or take a look at the
    `good first issue `_
    tag in the issues. If you are interested in maintaining climpred, please ping us.

Installation
============

You can install the latest release of ``climpred`` using ``pip`` or ``conda``:

.. code-block:: bash

    python -m pip install climpred[complete]

.. code-block:: bash

    conda install -c conda-forge climpred

You can also install the bleeding edge (pre-release versions) by cloning this
repository or installing directly from GitHub:

.. code-block:: bash

    git clone https://github.com/pangeo-data/climpred.git
    cd climpred
    python -m pip install . --upgrade

.. code-block:: bash

    pip install git+https://github.com/pangeo-data/climpred.git


Documentation
=============

Documentation is in development and can be found on readthedocs_.

.. _readthedocs: https://climpred.readthedocs.io/en/latest/

        

Citation (CITATION.cff)

# YAML 1.2
# Metadata for citation of this software according to the CFF format (https://citation-file-format.github.io/)
cff-version: 1.2.0
message: If you use this software, please cite it using these metadata.
# FIXME title as repository name might not be the best name, please make human readable
title: 'climpred: Verification of weather and climate forecasts'
doi: 10.5281/zenodo.4556085
# FIXME splitting of full names is error prone, please check if given/family name are correct
authors:
- given-names: Riley
  family-names: Brady
  affiliation: McKinsey & Company
  orcid: https://orcid.org/0000-0002-2309-8245
- given-names: Aaron
  family-names: Spring
  affiliation: Max-Planck-Institute for Meteorology
  orcid: https://orcid.org/0000-0003-0216-2241
- given-names: Andrew
  family-names: Huang
- given-names: Anderson
  family-names: Banihirwe
  affiliation: '@NCAR'
- given-names: Ray
  family-names: Bell
  affiliation: DTN
url: https://github.com/pangeo-data/climpred
license: MIT
preferred-citation:
  type: article
  authors:
  - given-names: Riley
    family-names: Brady
    affiliation: McKinsey & Company
    orcid: https://orcid.org/0000-0002-2309-8245
  - given-names: Aaron
    family-names: Spring
    affiliation: Max-Planck-Institute for Meteorology
    orcid: https://orcid.org/0000-0003-0216-2241
  doi: 10.21105/joss.02781
  journal: "Journal of Open Research Software"
  day: 2
  month: 3
  year: 2021
  title: "climpred: Verification of weather and climate forecasts"
  volume: 6
  issue: 59

---

Owner metadata

• Name: Pangeo
• Login: pangeo-data
• Email:
• Kind: organization
• Description: A community effort for big data geoscience
• Website: http://pangeo.io
• Location: earth
• Twitter: pangeo_data
• Company:
• Icon url: https://avatars.githubusercontent.com/u/23299451?v=4
• Repositories: 54
• Last ynced at: 2023-02-27T08:40:21.915Z
• Profile URL: https://github.com/pangeo-data

---

GitHub Events

Total

• Watch event: 11
• Issue comment event: 1
• Push event: 1
• Pull request review event: 2
• Pull request event: 2
• Create event: 2

Last Year

• Watch event: 11
• Issue comment event: 1
• Push event: 1
• Pull request review event: 2
• Pull request event: 2
• Create event: 2

---

Committers metadata

Last synced: 4 days ago

Name	Email	Commits
Riley X. Brady	r****y@c****u	478
Aaron Spring	a****g	311
Trevor James Smith	1****e	41
AS	a****g@m****e	33
dependabot[bot]	4****]	31
pre-commit-ci[bot]	6****]	27
ahuang11	a****1@i****u	14
Kathy Pegion	k****n@g****u	4
Anderson Banihirwe	a****e@u****u	4
Ray Bell	r****0@g****m	4
Mathias Hauser	m****e	2
Trevor	c****s@g****m	1

Committer domains:

• ualr.edu: 1
• gmu.edu: 1
• illinois.edu: 1
• mpimet.mpg.de: 1
• colorado.edu: 1

---

Issue and Pull Request metadata

Last synced: 2 days ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/pangeo-data/climpred

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Package metadata

• Total packages: 2
• Total downloads:
  • pypi: 1,280 last-month
• Total docker downloads: 11
• Total dependent packages: 3 (may contain duplicates)
• Total dependent repositories: 16 (may contain duplicates)
• Total versions: 32
• Total maintainers: 3

---

Dependencies

Score: 15.207001393990982