ESMValTool
A community diagnostic and performance metrics tool for routine evaluation of Earth system models in World Climate Research Programme.
https://github.com/ESMValGroup/ESMValTool
Category: Climate Change
Sub Category: Earth and Climate Modeling
Keywords from Contributors
hydrology oceanography earth-science climate-models visualisation spaceweather meteorology iris grib spatial-data-analysis
Last synced: about 21 hours ago
JSON representation
Repository metadata
ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP
- Host: GitHub
- URL: https://github.com/ESMValGroup/ESMValTool
- Owner: ESMValGroup
- License: apache-2.0
- Created: 2017-01-26T14:15:37.000Z (almost 9 years ago)
- Default Branch: main
- Last Pushed: 2025-12-11T08:59:56.000Z (15 days ago)
- Last Synced: 2025-12-12T05:55:45.228Z (14 days ago)
- Language: NCL
- Homepage: https://www.esmvaltool.org
- Size: 234 MB
- Stars: 258
- Watchers: 27
- Forks: 145
- Open Issues: 215
- Releases: 25
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Codeowners: .github/CODEOWNERS
- Security: SECURITY.md
- Zenodo: .zenodo.json
- Notice: NOTICE
README.md
- Documentation
- ESMValTool Website
- ESMValTool Tutorial
- ESMValGroup Project on GitHub
- Gallery
conda-forgepackage feedstock
Introduction
ESMValTool is a community-developed climate model diagnostics and evaluation software package, driven
both by computational performance and scientific accuracy and reproducibility. ESMValTool is open to both
users and developers, encouraging open exchange of diagnostic source code and evaluation results from the
Coupled Model Intercomparison Project CMIP ensemble. For a
comprehensive introduction to ESMValTool please visit our
documentation page.
Running esmvaltool
Diagnostics from ESMValTool are run using recipe
files that contain pointers to the requested data types, directives for the preprocessing steps that data
will be subject to, and directives for the actual diagnostics that will be run with the now preprocessed data.
Data preprocessing is done via the ESMValCore package, a pure Python, highly-optimized scientific library, developed by the ESMValTool core developers,
and that performs a number of common analysis tasks
such as regridding, masking, levels extraction etc. Diagnostics are written in a variety of programming languages (Python, NCL, R) and are developed by the wider
scientific community, and included after a scientific and technical review process.
Input data
ESMValTool can run with the following types of data as input:
- CMIP6
- CMIP5
- CMIP3
- observational and re-analysis datasets
- obs4MIPs
- ana4mips
- CORDEX (work in progress)
Getting started
Please see getting started on our instance of Read the Docs as well as ESMValTool tutorial. The tutorial is a set of lessons that together teach skills needed to work with ESMValTool in climate-related domains.
Getting help
The easiest way to get help, if you cannot find the answer in the documentation in our docs, is to open an issue on GitHub.
Contributing
If you would like to contribute a new diagnostic or feature, please have a look at our contribution guidelines.
Citation (CITATION.cff)
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cff-version: 1.2.0
date-released: 2025-10-20
doi: "10.5281/zenodo.3401363"
license: "Apache-2.0"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/ESMValGroup/ESMValTool/"
title: ESMValTool
version: "v2.13.0"
...
Owner metadata
- Name: ESMValGroup
- Login: ESMValGroup
- Email:
- Kind: organization
- Description: Earth System Model eValuation Tool
- Website: https://www.esmvaltool.org
- Location:
- Twitter: ESMValTool
- Company:
- Icon url: https://avatars.githubusercontent.com/u/24584460?v=4
- Repositories: 8
- Last ynced at: 2023-03-04T22:27:36.878Z
- Profile URL: https://github.com/ESMValGroup
GitHub Events
Total
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Last Year
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Committers metadata
Last synced: 5 days ago
Total Commits: 9,386
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Avg Commits per committer: 65.636
Development Distribution Score (DDS): 0.86
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Development Distribution Score (DDS) in past year: 0.848
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Issue and Pull Request metadata
Last synced: 6 days ago
Total issues: 1,571
Total pull requests: 2,608
Average time to close issues: 9 months
Average time to close pull requests: 2 months
Total issue authors: 168
Total pull request authors: 116
Average comments per issue: 4.95
Average comments per pull request: 4.87
Merged pull request: 2,064
Bot issues: 2
Bot pull requests: 228
Past year issues: 102
Past year pull requests: 371
Past year average time to close issues: 27 days
Past year average time to close pull requests: 12 days
Past year issue authors: 31
Past year pull request authors: 31
Past year average comments per issue: 1.66
Past year average comments per pull request: 1.95
Past year merged pull request: 229
Past year bot issues: 0
Past year bot pull requests: 91
Top Issue Authors
- valeriupredoi (209)
- bouweandela (195)
- mattiarighi (94)
- schlunma (87)
- ehogan (67)
- ledm (61)
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Top Pull Request Authors
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- remi-kazeroni (54)
- LisaBock (50)
- bjoernbroetz (49)
- sloosvel (42)
- rbeucher (39)
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Top Issue Labels
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- bug (223)
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- observations (98)
- Stale (94)
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- era5 (9)
- is-enes (8)
- IPCC (8)
- backwards incompatible change (6)
- deprecated feature (6)
- requires new ESMValCore release (5)
Top Pull Request Labels
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- diagnostic (373)
- documentation (353)
- observations (224)
- automatedPR (219)
- enhancement (213)
- installation (178)
- condalock (176)
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- ESMValBot (49)
- REF (48)
- Stale (47)
- standards (34)
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- Data (29)
- deprecated feature (29)
- in technical review (28)
- deployment (26)
- looking for technical reviewer (24)
- new recipe (22)
- in scientific review (20)
- backwards incompatible change (18)
- eWaterCycle (18)
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- looking for scientific reviewer (16)
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Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 494 last-month
- Total dependent packages: 1
- Total dependent repositories: 1
- Total versions: 16
- Total maintainers: 5
pypi.org: esmvaltool
A community tool for pre-processing data from Earth system models in CMIP and running analysis scripts
- Homepage: https://esmvaltool.org
- Documentation: https://docs.esmvaltool.org
- Licenses: Apache License, Version 2.0
- Latest release: 2.13.0 (published 2 months ago)
- Last Synced: 2025-12-19T22:11:39.156Z (6 days ago)
- Versions: 16
- Dependent Packages: 1
- Dependent Repositories: 1
- Downloads: 494 Last month
-
Rankings:
- Dependent packages count: 4.781%
- Average: 14.214%
- Downloads: 16.303%
- Dependent repos count: 21.559%
- Maintainers (5)
Dependencies
.github/workflows/citation_file_validator.yml
actions
- actions/checkout v3 composite
- citation-file-format/cffconvert-github-action 2.0.0 composite
.github/workflows/create-condalock-file.yml
actions
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- conda-incubator/setup-miniconda v2 composite
- peter-evans/create-pull-request v3 composite
.github/workflows/install-from-conda.yml
actions
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- conda-incubator/setup-miniconda v2 composite
.github/workflows/install-from-condalock-file.yml
actions
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- actions/upload-artifact v2 composite
- conda-incubator/setup-miniconda v2 composite
.github/workflows/install-from-source.yml
actions
- actions/checkout v3 composite
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- conda-incubator/setup-miniconda v2 composite
.github/workflows/pypi-build-and-deploy.yml
actions
- actions/checkout v3 composite
- actions/setup-python v1 composite
- pypa/gh-action-pypi-publish v1.5.0 composite
.github/workflows/run-tests-monitor.yml
actions
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- actions/upload-artifact v2 composite
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.github/workflows/test-development.yml
actions
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- actions/upload-artifact v2 composite
- conda-incubator/setup-miniconda v2 composite
.github/workflows/test.yml
actions
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esmvaltool/diag_scripts/extreme_events/climdex.pcic.ncdf/DESCRIPTION
cran
- PCICt >= 0.5 depends
- R >= 3.0 depends
- climdex.pcic >= 1.1 imports
- functional >= 0.4 imports
- ncdf4 >= 1.10 imports
- ncdf4.helpers >= 0.3 imports
- proj4 >= 1.0 imports
- snow >= 0.3 imports
- udunits2 >= 0.6 imports
- RUnit * suggests
docker/Dockerfile
docker
- condaforge/mambaforge latest build
environment.yml
pypi
pyproject.toml
pypi
setup.py
pypi
Score: 17.338546119836703