xclim
A library of derived climate variables, i.e. climate indicators, based on xarray.
https://github.com/ouranosinc/xclim
Category: Climate Change
Sub Category: Climate Data Processing and Analysis
Keywords
anuclim climate-analysis climate-science dask icclim netcdf4 python xarray xclim
Keywords from Contributors
climate wps hydrology ogc indices birdhouse earth-system-model pywps spatial-data-analysis archiving
Last synced: about 7 hours ago
JSON representation
Repository metadata
Library of derived climate variables, ie climate indicators, based on xarray.
- Host: GitHub
- URL: https://github.com/ouranosinc/xclim
- Owner: Ouranosinc
- License: apache-2.0
- Created: 2018-07-27T18:02:20.000Z (about 8 years ago)
- Default Branch: main
- Last Pushed: 2026-08-21T15:45:41.000Z (3 days ago)
- Last Synced: 2026-08-21T17:37:50.890Z (3 days ago)
- Topics: anuclim, climate-analysis, climate-science, dask, icclim, netcdf4, python, xarray, xclim
- Language: Python
- Homepage: https://xclim.readthedocs.io/en/stable/
- Size: 63.5 MB
- Stars: 403
- Watchers: 13
- Forks: 76
- Open Issues: 51
- Releases: 93
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: SECURITY.md
- Support: docs/support.rst
- Governance: docs/governance.rst
- Authors: AUTHORS.rst
- Zenodo: .zenodo.json
- Agents: AGENTS.md
README.rst
===============================================================
xclim: Climate services library |logo| |logo-dark| |logo-light|
===============================================================
+----------------------------+-----------------------------------------------------+
| Versions | |pypi| |conda| |versions| |
+----------------------------+-----------------------------------------------------+
| Documentation and Support | |docs| |discussions| |
+----------------------------+-----------------------------------------------------+
| Open Source | |license| |ossf-score| |zenodo| |pyOpenSci| |joss| |
+----------------------------+-----------------------------------------------------+
| Coding Standards | |ruff| |pre-commit-ci| |ossf-bp| |fossa| |
+----------------------------+-----------------------------------------------------+
| Development Status | |status| |build| |coveralls| |
+----------------------------+-----------------------------------------------------+
`xclim` is an operational Python library for climate services, providing numerous climate-related indicator tools
with an extensible framework for constructing custom climate indicators, statistical downscaling and bias
adjustment of climate model simulations, as well as climate model ensemble analysis tools.
`xclim` is built using `xarray`_ and can seamlessly benefit from the parallelization handling provided by `dask`_.
Its objective is to make it as simple as possible for users to perform typical climate services data treatment workflows.
Leveraging `xarray` and `dask`, users can easily bias-adjust climate simulations over large spatial domains or compute indices from large climate datasets.
For example, the following would compute monthly mean temperature from daily mean temperature:
.. code-block:: python
import xclim
import xarray as xr
ds = xr.open_dataset(filename)
tg = xclim.atmos.tg_mean(ds.tas, freq="MS")
For applications where metadata and missing values are important to get right, `xclim` provides a class for each index
that validates inputs, checks for missing values, converts units and assigns metadata attributes to the output.
This also provides a mechanism for users to customize the indices to their own specifications and preferences.
`xclim` currently provides over 150 indices related to mean, minimum and maximum daily temperature, daily precipitation,
streamflow and sea ice concentration, numerous bias-adjustment algorithms, as well as a dedicated module for ensemble analysis.
.. _xarray: https://docs.xarray.dev/
.. _dask: https://docs.dask.org/
Quick Install
-------------
`xclim` can be installed from PyPI:
.. code-block:: shell
$ pip install xclim
or from Anaconda (conda-forge):
.. code-block:: shell
$ conda install -c conda-forge xclim
Documentation
-------------
The official documentation is at https://xclim.readthedocs.io/
How to make the most of xclim: `Basic Usage Examples`_ and `In-Depth Examples`_.
.. _Basic Usage Examples: https://xclim.readthedocs.io/en/stable/notebooks/usage.html
.. _In-Depth Examples: https://xclim.readthedocs.io/en/stable/notebooks/index.html
Conventions
-----------
In order to provide a coherent interface, `xclim` tries to follow different sets of conventions. In particular, input data should follow the `CF conventions`_ whenever possible for variable attributes. Variable names are usually the ones used in `CMIP6`_, when they exist.
However, `xclim` will *always* assume the temporal coordinate is named "time". If your data uses another name (for example: "T"), you can rename the variable with:
.. code-block:: python
ds = ds.rename(T="time")
`xclim` employs a `black`_-compatible code formatting style (via a modified `ruff`_ configuration) and (mostly) adheres to the `NumPy docstring`_ style. For more information on coding and development conventions, see the `Contributing Guidelines`_.
.. _black: https://black.readthedocs.io/en/stable/
.. _ruff: https://docs.astral.sh/ruff/
.. _CF Conventions: http://cfconventions.org/
.. _CMIP6: https://clipc-services.ceda.ac.uk/dreq/mipVars.html
.. _NumPy docstring: https://numpydoc.readthedocs.io/en/stable/format.html
Contributing to xclim
---------------------
`xclim` is in active development and is being used in production by climate services specialists around the world.
* If you're interested in participating in the development of `xclim` by suggesting new features, new indices or report bugs, please leave us a message on the `issue tracker`_.
* If you have a support/usage question or would like to translate `xclim` to a new language, be sure to check out the existing |discussions| first!
* If you would like to contribute code or documentation (which is greatly appreciated!), check out the `Contributing Guidelines`_ before you begin!
.. _issue tracker: https://github.com/Ouranosinc/xclim/issues
.. _Contributing Guidelines: https://github.com/Ouranosinc/xclim/blob/main/CONTRIBUTING.rst
How to cite this library
------------------------
If you wish to cite `xclim` in a research publication, we kindly ask that you refer to our article published in The Journal of Open Source Software (`JOSS`_): https://doi.org/10.21105/joss.05415
To cite a specific version of `xclim`, the bibliographical reference information can be found through `Zenodo`_
.. _JOSS: https://joss.theoj.org/
.. _Zenodo: https://doi.org/10.5281/zenodo.2795043
License
-------
This is free software: you can redistribute it and/or modify it under the terms of the `Apache License 2.0`_. A copy of this license is provided in the code repository (`LICENSE`_).
.. _Apache License 2.0: https://opensource.org/license/apache-2-0/
.. _LICENSE: https://github.com/Ouranosinc/xclim/blob/main/LICENSE
Energy and Carbon Usage
-----------------------
The `xclim` development team is interested in thoroughly testing our software while also reducing the environmental impact of the software we develop.
This repository uses the `ECO-CI`_ tool to estimate and track the energy use and carbon emissions of our continuous integration workflows.
+---------------------------------------------------------------------------------------+
| `ECO-CI`_ Energy Use and Carbon Emissions from CI Workflows (since November 2024) |
+------------------+------------------+-------------------------------------------------+
| Testing suite | Energy Usage | |energy-last| |energy-average| |energy-total| |
| +------------------+-------------------------------------------------+
| (*main* branch) | Carbon Emissions | |carbon-last| |carbon-average| |carbon-total| |
+------------------+------------------+-------------------------------------------------+
Credits
-------
`xclim` development is funded through Ouranos_, Environment and Climate Change Canada (ECCC_), the `Fonds vert`_ and the Fonds d'électrification et de changements climatiques (FECC_), the Canadian Foundation for Innovation (CFI_), and the Fonds de recherche du Québec (FRQ_).
.. image:: https://raw.githubusercontent.com/Ouranosinc/.github/refs/heads/main/images/logo-ouranos-horizontal-couleur.svg
:target: https://www.ouranos.ca/
:align: center
:class: ouranos-logo no-theme center
|ouranos-dark| |ouranos-light|
This package was created with Cookiecutter_ and the `audreyfeldroy/cookiecutter-pypackage`_ project template.
.. _audreyfeldroy/cookiecutter-pypackage: https://github.com/audreyfeldroy/cookiecutter-pypackage/
.. _CFI: https://www.innovation.ca/
.. _Cookiecutter: https://github.com/cookiecutter/cookiecutter/
.. _ECCC: https://www.canada.ca/en/environment-climate-change.html
.. _ECO-CI: https://www.green-coding.io/
.. _FECC: https://www.environnement.gouv.qc.ca/ministere/fonds-electrification-changements-climatiques/index.htm
.. _Fonds vert: https://www.environnement.gouv.qc.ca/ministere/fonds-vert/index.htm
.. _FRQ: https://frq.gouv.qc.ca/
.. _Ouranos: https://www.ouranos.ca/
.. |pypi| image:: https://img.shields.io/pypi/v/xclim.svg
:target: https://pypi.python.org/pypi/xclim
:alt: Python Package Index Build
.. |conda| image:: https://img.shields.io/conda/vn/conda-forge/xclim.svg
:target: https://anaconda.org/conda-forge/xclim
:alt: Conda-forge Build Version
.. |discussions| image:: https://img.shields.io/badge/GitHub-Discussions-blue
:target: https://github.com/Ouranosinc/xclim/discussions
:alt: Static Badge
.. |build| image:: https://github.com/Ouranosinc/xclim/actions/workflows/main.yml/badge.svg
:target: https://github.com/Ouranosinc/xclim/actions/workflows/main.yml
:alt: Build Status
.. |coveralls| image:: https://coveralls.io/repos/github/Ouranosinc/xclim/badge.svg
:target: https://coveralls.io/github/Ouranosinc/xclim
:alt: Coveralls
.. |docs| image:: https://readthedocs.org/projects/xclim/badge
:target: https://xclim.readthedocs.io/en/latest
:alt: Documentation Status
.. |zenodo| image:: https://zenodo.org/badge/142608764.svg
:target: https://zenodo.org/badge/latestdoi/142608764
:alt: DOI
.. |pyOpenSci| image:: https://tinyurl.com/y22nb8up
:target: https://github.com/pyOpenSci/software-review/issues/73
:alt: pyOpenSci
.. |joss| image:: https://joss.theoj.org/papers/10.21105/joss.05415/status.svg
:target: https://doi.org/10.21105/joss.05415
:alt: JOSS
.. |license| image:: https://img.shields.io/github/license/Ouranosinc/xclim.svg
:target: https://github.com/Ouranosinc/xclim/blob/main/LICENSE
:alt: License
.. |ossf-bp| image:: https://bestpractices.coreinfrastructure.org/projects/6041/badge
:target: https://bestpractices.coreinfrastructure.org/projects/6041
:alt: Open Source Security Foundation Best Practices
.. |ossf-score| image:: https://api.securityscorecards.dev/projects/github.com/Ouranosinc/xclim/badge
:target: https://securityscorecards.dev/viewer/?uri=github.com/Ouranosinc/xclim
:alt: Open Source Security Foundation Scorecard
.. |fossa| image:: https://app.fossa.com/api/projects/git%2Bgithub.com%2FOuranosinc%2Fxclim.svg?type=shield
:target: https://app.fossa.com/projects/git%2Bgithub.com%2FOuranosinc%2Fxclim?ref=badge_shield
:alt: FOSSA
.. |logo| image:: https://raw.githubusercontent.com/Ouranosinc/xclim/main/docs/logos/xclim-logo-small-light.png
:target: https://github.com/Ouranosinc/xclim
:alt: xclim
:class: xclim-logo-small no-theme
.. |logo-light| image:: https://raw.githubusercontent.com/Ouranosinc/xclim/main/docs/logos/empty.png
:target: https://github.com/Ouranosinc/xclim
:alt:
:class: xclim-logo-small only-light-inline
.. |logo-dark| image:: https://raw.githubusercontent.com/Ouranosinc/xclim/main/docs/logos/empty.png
:target: https://github.com/Ouranosinc/xclim
:alt:
:class: xclim-logo-small only-dark-inline
.. |pre-commit-ci| image:: https://results.pre-commit.ci/badge/github/Ouranosinc/xclim/main.svg
:target: https://results.pre-commit.ci/latest/github/Ouranosinc/xclim/main
:alt: pre-commit.ci status
.. |ruff| image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json
:target: https://github.com/astral-sh/ruff
:alt: Ruff
.. |status| image:: https://www.repostatus.org/badges/latest/active.svg
:target: https://www.repostatus.org/#active
:alt: Project Status: Active - The project has reached a stable, usable state and is being actively developed.
.. |versions| image:: https://img.shields.io/pypi/pyversions/xclim.svg
:target: https://pypi.python.org/pypi/xclim
:alt: Supported Python Versions
.. Ouranos Logos
.. |ouranos-light| image:: https://raw.githubusercontent.com/Ouranosinc/xclim/main/docs/logos/empty.png
:target: https://www.ouranos.ca/
:alt:
:class: ouranos-logo only-light center
.. |ouranos-dark| image:: https://raw.githubusercontent.com/Ouranosinc/xclim/main/docs/logos/empty.png
:target: https://www.ouranos.ca/
:alt:
:class: ouranos-logo only-dark center
.. Energy Metrics by https://github.com/green-coding-solutions/eco-ci-energy-estimation
.. |energy-total| image:: https://api.green-coding.io/v1/ci/badge/get?repo=Ouranosinc/xclim&branch=main&workflow=5828641&mode=totals
:target: https://metrics.green-coding.io/ci.html?repo=Ouranosinc/xclim&branch=main&workflow=5828641
:alt: Energy Consumption (Total)
.. |energy-last| image:: https://api.green-coding.io/v1/ci/badge/get?repo=Ouranosinc/xclim&branch=main&workflow=5828641
:target: https://metrics.green-coding.io/ci.html?repo=Ouranosinc/xclim&branch=main&workflow=5828641
:alt: Energy Consumption (Last run)
.. |energy-average| image:: https://api.green-coding.io/v1/ci/badge/get?repo=Ouranosinc/xclim&branch=main&workflow=5828641&mode=avg&duration_days=90
:target: https://metrics.green-coding.io/ci.html?repo=Ouranosinc/xclim&branch=main&workflow=5828641
:alt: Energy Consumption (Last 90 days moving average)
.. |carbon-total| image:: https://api.green-coding.io/v1/ci/badge/get?repo=Ouranosinc/xclim&branch=main&workflow=5828641&mode=totals&metric=carbon
:target: https://metrics.green-coding.io/ci.html?repo=Ouranosinc/xclim&branch=main&workflow=5828641
:alt: Carbon Emissions (Total)
.. |carbon-last| image:: https://api.green-coding.io/v1/ci/badge/get?repo=Ouranosinc/xclim&branch=main&workflow=5828641&metric=carbon
:target: https://metrics.green-coding.io/ci.html?repo=Ouranosinc/xclim&branch=main&workflow=5828641
:alt: Carbon Emissions (Last run)
.. |carbon-average| image:: https://api.green-coding.io/v1/ci/badge/get?repo=Ouranosinc/xclim&branch=main&workflow=5828641&mode=avg&duration_days=90&metric=carbon
:target: https://metrics.green-coding.io/ci.html?repo=Ouranosinc/xclim&branch=main&workflow=5828641
:alt: Carbon Emissions (Last 90 days moving average)
Citation (CITATION.cff)
cff-version: "1.2.0"
authors:
- family-names: Bourgault
given-names: Pascal
orcid: "https://orcid.org/0000-0003-1192-0403"
- family-names: Huard
given-names: David
orcid: "https://orcid.org/0000-0003-0311-5498"
- family-names: Smith
given-names: Trevor James
orcid: "https://orcid.org/0000-0001-5393-8359"
- family-names: Logan
given-names: Travis
orcid: "https://orcid.org/0000-0002-2212-9580"
- family-names: Aoun
given-names: Abel
orcid: "https://orcid.org/0000-0003-2289-2890"
- family-names: Lavoie
given-names: Juliette
orcid: "https://orcid.org/0000-0002-4708-5182"
- family-names: Dupuis
given-names: Éric
orcid: "https://orcid.org/0000-0001-7976-4596"
- family-names: Rondeau-Genesse
given-names: Gabriel
orcid: "https://orcid.org/0000-0003-3389-9406"
- family-names: Alegre
given-names: Raquel
orcid: "https://orcid.org/0000-0002-6081-0721"
- family-names: Barnes
given-names: Clair
orcid: "https://orcid.org/0000-0002-7806-7913"
- family-names: Laperrière
given-names: Alexis Beaupré
- family-names: Biner
given-names: Sébastien
orcid: "https://orcid.org/0000-0001-7515-490X"
- family-names: Caron
given-names: David
- family-names: Ehbrecht
given-names: Carsten
- family-names: Fyke
given-names: Jeremy
orcid: "https://orcid.org/0000-0002-4522-3019"
- family-names: Keel
given-names: Tom
orcid: "https://orcid.org/0000-0001-9193-5271"
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orcid: "https://orcid.org/0000-0003-0738-3940"
- family-names: "Larose"
given-names: "Ève"
orcid: "https://orcid.org/0009-0005-0832-4047"
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given-names: Ludwig
orcid: "https://orcid.org/0000-0002-7207-0003"
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given-names: Jwen-Fai
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given-names: Jamie
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given-names: Philippe
orcid: "https://orcid.org/0000-0003-1239-7589"
- family-names: Squire
given-names: Dougie
orcid: "https://orcid.org/0000-0003-3271-6874"
- family-names: Stephens
given-names: Ag
orcid: "https://orcid.org/0000-0002-1038-7988"
- family-names: Tanguy
given-names: Maliko
orcid: "https://orcid.org/0000-0002-1516-6834"
- family-names: Whelan
given-names: Christopher
contact:
- family-names: Logan
given-names: Travis
orcid: "https://orcid.org/0000-0002-2212-9580"
doi: 10.5281/zenodo.7916446
message: If you use this software, please cite our article in the
Journal of Open Source Software.
preferred-citation:
authors:
- family-names: Bourgault
given-names: Pascal
orcid: "https://orcid.org/0000-0003-1192-0403"
- family-names: Huard
given-names: David
orcid: "https://orcid.org/0000-0003-0311-5498"
- family-names: Smith
given-names: Trevor James
orcid: "https://orcid.org/0000-0001-5393-8359"
- family-names: Logan
given-names: Travis
orcid: "https://orcid.org/0000-0002-2212-9580"
- family-names: Aoun
given-names: Abel
orcid: "https://orcid.org/0000-0003-2289-2890"
- family-names: Lavoie
given-names: Juliette
orcid: "https://orcid.org/0000-0002-4708-5182"
- family-names: Dupuis
given-names: Éric
orcid: "https://orcid.org/0000-0001-7976-4596"
- family-names: Rondeau-Genesse
given-names: Gabriel
orcid: "https://orcid.org/0000-0003-3389-9406"
- family-names: Alegre
given-names: Raquel
orcid: "https://orcid.org/0000-0002-6081-0721"
- family-names: Barnes
given-names: Clair
orcid: "https://orcid.org/0000-0002-7806-7913"
- family-names: Laperrière
given-names: Alexis Beaupré
- family-names: Biner
given-names: Sébastien
orcid: "https://orcid.org/0000-0001-7515-490X"
- family-names: Caron
given-names: David
- family-names: Ehbrecht
given-names: Carsten
- family-names: Fyke
given-names: Jeremy
orcid: "https://orcid.org/0000-0002-4522-3019"
- family-names: Keel
given-names: Tom
orcid: "https://orcid.org/0000-0001-9193-5271"
- family-names: Labonté
given-names: Marie-Pier
orcid: "https://orcid.org/0000-0003-0738-3940"
- family-names: Lierhammer
given-names: Ludwig
orcid: "https://orcid.org/0000-0002-7207-0003"
- family-names: Low
given-names: Jwen-Fai
orcid: "https://orcid.org/0000-0001-6618-7443"
- family-names: Quinn
given-names: Jamie
- family-names: Roy
given-names: Philippe
orcid: "https://orcid.org/0000-0003-1239-7589"
- family-names: Squire
given-names: Dougie
orcid: "https://orcid.org/0000-0003-3271-6874"
- family-names: Stephens
given-names: Ag
orcid: "https://orcid.org/0000-0002-1038-7988"
- family-names: Tanguy
given-names: Maliko
orcid: "https://orcid.org/0000-0002-1516-6834"
- family-names: Whelan
given-names: Christopher
date-published: 2023-05-18
doi: 10.21105/joss.05415
issn: 2475-9066
issue: 85
journal: Journal of Open Source Software
publisher:
name: Open Journals
start: 5415
title: "xclim: xarray-based climate data analytics"
type: article
url: "https://joss.theoj.org/papers/10.21105/joss.05415"
volume: 8
title: "xclim: xarray-based climate data analytics"
Owner metadata
- Name: Ouranos inc.
- Login: Ouranosinc
- Email:
- Kind: organization
- Description: Consortium on regional climatology
- Website: www.ouranos.ca
- Location: Canada
- Twitter: ouranos_cc
- Company:
- Icon url: https://avatars.githubusercontent.com/u/1696763?v=4
- Repositories: 37
- Last ynced at: 2023-02-26T14:20:41.025Z
- Profile URL: https://github.com/Ouranosinc
GitHub Events
Total
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- Delete event: 195
- Fork event: 10
- Issue comment event: 621
- Issues event: 156
- Pull request event: 421
- Pull request review comment event: 345
- Pull request review event: 449
- Push event: 1108
- Release event: 11
- Watch event: 40
Last Year
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- Delete event: 48
- Fork event: 1
- Issue comment event: 52
- Issues event: 25
- Pull request event: 103
- Pull request review comment event: 61
- Pull request review event: 54
- Push event: 299
- Release event: 3
- Watch event: 7
Committers metadata
Last synced: 5 days ago
Total Commits: 8,633
Total Committers: 60
Avg Commits per committer: 143.883
Development Distribution Score (DDS): 0.612
Commits in past year: 611
Committers in past year: 12
Avg Commits per committer in past year: 50.917
Development Distribution Score (DDS) in past year: 0.596
| Name | Commits | |
|---|---|---|
| Trevor James Smith | 1****e | 3349 |
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| abel | a****n@c****r | 149 |
| Travis Logan | l****s@o****a | 146 |
| Adrien Lamarche | a****e@p****m | 99 |
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| seblehner | s****r@g****t | 63 |
| Raquel Alegre | r****e@u****k | 58 |
| Thomasjkeel | t****l@g****m | 51 |
| RondeauG | r****l@o****a | 40 |
| Sébastien Biner | s****r@g****m | 30 |
| dougiesquire | d****e@g****m | 25 |
| SarahG-579462 | g****h@o****a | 22 |
| abel | a****n@c****r | 21 |
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| Baptiste Hamon | b****n@p****z | 13 |
| Sarah G | 9****2 | 11 |
| abeaupre | b****s@o****a | 8 |
| Raquel Alegre | r****l | 8 |
| Jeremy Fyke | j****e@c****a | 8 |
| Faisal Mahmood | f****7@g****m | 7 |
| and 30 more... | ||
Committer domains:
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- cerfacs.fr: 2
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- hotmail.ca: 1
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- geosphere.at: 1
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- stfc.ac.uk: 1
Issue and Pull Request metadata
Last synced: about 20 hours ago
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Package metadata
- Total packages: 6
-
Total downloads:
- conda: 417,960 total
- pypi: 54,568 last-month
- Total docker downloads: 88
- Total dependent packages: 15 (may contain duplicates)
- Total dependent repositories: 45 (may contain duplicates)
- Total versions: 319
- Total maintainers: 4
nixpkgs-unstable: python313Packages.xclim
Operational Python library supporting climate services, based on xarray
- Homepage: https://github.com/Ouranosinc/xclim
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/xclim/default.nix#L92
- Licenses: Apache-2.0
- Latest release: 0.60.0 (published 7 months ago)
- Last Synced: 2026-08-11T13:01:07.389Z (14 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 2.411%
- Forks count: 4.301%
- Stargazers count: 5.344%
- Maintainers (1)
pypi.org: xclim
Climate indices computation package based on Xarray.
- Homepage: https://xclim.readthedocs.io/
- Documentation: https://xclim.readthedocs.io/
- Licenses: Apache-2.0
- Latest release: 0.62.0 (published 7 days ago)
- Last Synced: 2026-08-24T05:44:43.611Z (about 20 hours ago)
- Versions: 89
- Dependent Packages: 11
- Dependent Repositories: 28
- Downloads: 54,568 Last month
- Docker Downloads: 88
-
Rankings:
- Dependent packages count: 1.047%
- Downloads: 1.937%
- Dependent repos count: 2.742%
- Average: 3.299%
- Stargazers count: 3.837%
- Docker downloads count: 4.137%
- Forks count: 6.092%
- Maintainers (3)
proxy.golang.org: github.com/ouranosinc/xclim
- Homepage:
- Documentation: https://pkg.go.dev/github.com/ouranosinc/xclim#section-documentation
- Licenses: apache-2.0
- Latest release: v0.62.0 (published 5 days ago)
- Last Synced: 2026-08-23T18:33:58.094Z (1 day ago)
- Versions: 90
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 1.622%
- Average: 4.057%
- Dependent packages count: 6.492%
proxy.golang.org: github.com/Ouranosinc/xclim
- Homepage:
- Documentation: https://pkg.go.dev/github.com/Ouranosinc/xclim#section-documentation
- Licenses: apache-2.0
- Latest release: v0.62.0 (published 5 days ago)
- Last Synced: 2026-08-23T18:34:18.756Z (1 day ago)
- Versions: 90
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 6.999%
- Average: 8.173%
- Dependent repos count: 9.346%
conda-forge.org: xclim
xclim is an operational Python library for climate services, providing numerous climate-related indicator tools with an extensible framework for constructing custom climate indicators, statistical downscaling and bias adjustment of climate model simulations, as well as climate model ensemble analysis tools.
- Homepage: https://github.com/Ouranosinc/xclim
- Licenses: Apache-2.0
- Latest release: 0.39.0 (published almost 4 years ago)
- Last Synced: 2026-04-01T13:32:03.143Z (5 months ago)
- Versions: 46
- Dependent Packages: 4
- Dependent Repositories: 17
- Downloads: 417,960 Total
-
Rankings:
- Dependent repos count: 8.643%
- Dependent packages count: 12.501%
- Average: 17.894%
- Stargazers count: 24.308%
- Forks count: 26.124%
nixpkgs-unstable: python314Packages.xclim
Operational Python library supporting climate services, based on xarray
- Homepage: https://github.com/Ouranosinc/xclim
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/xclim/default.nix#L92
- Licenses: Apache-2.0
- Latest release: 0.60.0 (published 7 months ago)
- Last Synced: 2026-04-13T22:02:15.346Z (4 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
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Score: 23.2786198971998