Welcome to skbase
A framework factory for scikit-learn-like and sktime-like parametric objects
skbase provides base classes for creating scikit-learn-like parametric objects,
along with tools to make it easier to build your own packages that follow these design patterns.
🚀 Version 1.2.1 is now available. Check out our release notes.
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Documentation and Tutorials
To learn more about the package check out:
- our documentation
- our introductory tutorial (jupyter notebooks and video presentation)
⏳ Install skbase
For trouble shooting or more information, see our detailed installation instructions.
- Operating system: macOS · Linux · Windows 8.1 or higher
- Python version: Python 3.10, 3.11, 3.12, 3.13, 3.14, and 3.15
- Package managers: pip
pip
skbase releases are available as source packages and binary wheels via PyPI and can be installed using pip. Checkout the full list of pre-compiled wheels on PyPi.
To install the core package use:
pip install scikit-base
or, if you want to install with the maximum set of dependencies, use:
pip install scikit-base[all_extras]
Contributors ✨
This project follows the all-contributors specification. Contributions of any kind welcome!
Thanks go to these wonderful people:
1 maintainer
Metadata
1 maintainer
Release files for scikit-base 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| scikit_base-1.2.1.tar.gz | 136.8 kB | With provenance | Details for scikit_base-1.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| scikit_base-1.2.1-py3-none-any.whl | Python 3 | none | any | Details for scikit_base-1.2.1-py3-none-any.whl |
Total release size: 300.7 kB
Release files / scikit_base-1.2.1.tar.gz
| Download URL | scikit_base-1.2.1.tar.gz |
|---|---|
| Size | 136.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / scikit_base-1.2.1-py3-none-any.whl
| Download URL | scikit_base-1.2.1-py3-none-any.whl |
|---|---|
| Size | 163.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
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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.
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 8, 2026.
Transparency logSecurity for scikit-base 1.2.1
Provenance
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Attestation for scikit_base-1.2.1.tar.gz
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 8, 2026.
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