ppc64le/linux/: scikit-network-0.33.5 metadata and description

Graph algorithms

author	Scikit-network team
classifiers	Development Status :: 3 - Alpha Intended Audience :: Developers Intended Audience :: Information Technology Intended Audience :: Education Intended Audience :: Science/Research License :: OSI Approved :: BSD License Natural Language :: English Programming Language :: Cython Programming Language :: Python :: 3.10 Programming Language :: Python :: 3.11 Programming Language :: Python :: 3.12 Programming Language :: Python :: 3.13 Programming Language :: Python :: 3.14 Environment :: MetaData :: IBM Python Ecosystem
description_content_type	text/x-rst
dynamic	license-file
keywords	sknetwork
license	BSD License
license_file	LICENSE AUTHORS.rst
maintainer_email	Thomas Bonald <[email protected]>
metadata_version	2.4
project_urls	Repository, https://github.com/sknetwork-team/scikit-network Documentation, https://scikit-network.readthedocs.io/ Changelog, https://github.com/sknetwork-team/scikit-network/blob/master/HISTORY.rst
provides_extras	test
requires_dist	numpy>=1.22.4 scipy>=1.7.3 pytest; extra == "test" note; extra == "test" pluggy>=0.7.1; extra == "test"
requires_python	>=3.10

File	Tox results	History
scikit_network-0.33.5-cp310-cp310-manylinux_2_34_ppc64le.whl Size 8 MB Type Python Wheel Python 3.10		Uploaded to ppc64le/linux by ppc64le 2026-10-22 08:38:00
scikit_network-0.33.5-cp311-cp311-manylinux_2_34_ppc64le.whl Size 7 MB Type Python Wheel Python 3.11		Uploaded to ppc64le/linux by ppc64le 2026-10-22 08:38:01
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scikit_network-0.33.5-cp313-cp313-manylinux_2_34_ppc64le.whl Size 8 MB Type Python Wheel Python 3.13		Uploaded to ppc64le/linux by ppc64le 2026-10-22 08:38:03
scikit_network-0.33.5-cp314-cp314-manylinux_2_34_ppc64le.whl Size 8 MB Type Python Wheel Python 3.14		Uploaded to ppc64le/linux by ppc64le 2026-10-22 08:38:05

https://img.shields.io/pypi/v/scikit-network.svg

https://img.shields.io/pypi/pyversions/scikit-network.svg

Free software library in Python for machine learning on graphs:

Memory-efficient representation of graphs as sparse matrices in scipy format
Fast algorithms
Simple API inspired by scikit-learn

Resources

Free software: BSD license
GitHub: https://github.com/sknetwork-team/scikit-network
Documentation: https://scikit-network.readthedocs.io

Quick start

Install scikit-network:

$ pip install scikit-network

Import scikit-network:

import sknetwork

Overview

An overview of the package is presented in this notebook.

Documentation

The documentation is structured as follows:

Getting started: First steps to install, import and use scikit-network.
User manual: Description of each function and object of scikit-network.
Tutorials: Application of the main tools to toy examples.
Examples: Examples combining several tools on specific use cases.
About: Authors, history of the library, how to contribute, index of functions and objects.

Citing

If you want to cite scikit-network, please refer to the publication in the Journal of Machine Learning Research:

@article{JMLR:v21:20-412,
  author  = {Thomas Bonald and Nathan de Lara and Quentin Lutz and Bertrand Charpentier},
  title   = {Scikit-network: Graph Analysis in Python},
  journal = {Journal of Machine Learning Research},
  year    = {2020},
  volume  = {21},
  number  = {185},
  pages   = {1-6},
  url     = {http://jmlr.org/papers/v21/20-412.html}
}