Graph algorithms
Project description
scikit-network
Simple and efficient tools for the analysis of large graphs
Free software: BSD license
Documentation: https://scikit-network.readthedocs.io.
Quickstart
Install scikit-network:
$ pip install scikit-network
To use scikit-network in a project:
import sknetwork as skn
History
0.5.0 (2019-04-18)
Unified Louvain.
0.4.0 (2019-04-03)
Added Louvain for directed graphs and ComboLouvain for bipartite graphs.
0.3.0 (2019-03-29)
Updated clustering module and documentation.
0.2.0 (2019-03-21)
First real release on PyPI.
0.1.1 (2018-05-29)
First release on PyPI.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scikit-network-0.5.0.tar.gz
(35.6 kB
view hashes)
Built Distribution
Close
Hashes for scikit_network-0.5.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 92913c066a1ea0b8b779db6e700f45434eb9de6ca13cf005f08297d2dc8380f6 |
|
MD5 | 83d39efc807e45b1449bf25ef04cc1a6 |
|
BLAKE2b-256 | 92748fed128982eab4f02e67b6debdbed3c424b43f05a9f3e5fd2c0fd3bfa3e0 |