SKOPS
skops is a Python library helping you share your scikit-learn based models and put them in production. At the moment, it includes skops.io to securely persist sklearn estimators and more, without using pickle. It also includes skops.card to create a model card explaining what the model does and how it should be used.
skops.io: Secure persistence of sklearn estimators and more, without using pickle. Visit the docs for more information.
skops.card: tools to create a model card explaining what the model does and how it should be used. More information can be found here.
Please refer to our documentation on using the library as user, which includes user guides on the above topics as well as complete examples explaining how the features can be used.
If you want to contribute to the library, please refer to our contributing guidelines.
Installation
You can install this library using:
python -m pip install skopsBug Reports and Questions
Please send all your questions and report issues on this repository’s issue tracker as an issue. Try to look for existing ones before you create a new one.
2 maintainers
Metadata
2 maintainers
Release files for skops 0.16.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| skops-0.16.0.tar.gz | 673.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| skops-0.16.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 822.2 kB
Release files / skops-0.16.0.tar.gz
| Download URL | skops-0.16.0.tar.gz |
|---|---|
| Size | 673.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / skops-0.16.0-py3-none-any.whl
| Download URL | skops-0.16.0-py3-none-any.whl |
|---|---|
| Size | 148.7 kB |
| Tags | Python 3 |
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SHA-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/7.0.0 CPython/3.13.14
|
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 Sep 24, 2026.
Transparency log
