Verification of weather and climate forecasts
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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:
python -m pip install climpred[complete]conda install -c conda-forge climpredYou can also install the bleeding edge (pre-release versions) by cloning this repository or installing directly from GitHub:
git clone https://github.com/pangeo-data/climpred.git
cd climpred
python -m pip install . --upgradepip install git+https://github.com/pangeo-data/climpred.gitDocumentation
Documentation is in development and can be found on readthedocs.
Star History
3 maintainers
Release files for climpred 2.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| climpred-2.6.0.tar.gz | 7.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| climpred-2.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.2 MB
Release files / climpred-2.6.0.tar.gz
| Download URL | climpred-2.6.0.tar.gz |
|---|---|
| Size | 7.1 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / climpred-2.6.0-py3-none-any.whl
| Download URL | climpred-2.6.0-py3-none-any.whl |
|---|---|
| Size | 177.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 19, 2026.
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