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.
:rocket: Version 1.1.1 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)
:hourglass_flowing_sand: 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, and 3.14
- 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 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scikit_base-1.1.1.tar.gz | 135.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_base-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 298.2 kB
Release files / scikit_base-1.1.1.tar.gz
| Download URL | scikit_base-1.1.1.tar.gz |
|---|---|
| Size | 135.7 kB |
| Tags | Source |
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Transparency logRelease files / scikit_base-1.1.1-py3-none-any.whl
| Download URL | scikit_base-1.1.1-py3-none-any.whl |
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| Size | 162.6 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 Aug 25, 2026.
Transparency log
