scikit-base 0.13.1


pip install scikit-base

  Latest version

Released: Jan 25, 2026


Meta
Author: sktime developers
Maintainer: Franz Király
Requires Python: <3.15,>=3.10

Classifiers

Intended Audience
  • Science/Research
  • Developers

License
  • OSI Approved :: BSD License

Programming Language
  • Python :: 3.10
  • Python :: 3.11
  • Python :: 3.12
  • Python :: 3.13
  • Python :: 3.14

Topic
  • Software Development
  • Scientific/Engineering

Operating System
  • Microsoft :: Windows
  • POSIX
  • Unix
  • MacOS

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 0.13.1 is now available. Check out our release notes.

Overview
CI/CD Tests codecov Documentation Status pre-commit.ci status
Code !pypi !python-versions !black security: bandit
Downloads PyPI - Downloads PyPI - Downloads Downloads
Citation DOI

All Contributors

Documentation and Tutorials

To learn more about the package check out:

: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:

skbase contributors

Wheel compatibility matrix

Platform Python 3
any

Files in release

Extras:
Dependencies: