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
0.7.1 (2019-07-04)
Added Algorithm class for nicer repr of some classes
Added Jupyter notebooks as tutorials in the docs
Minor fixes
0.7.0 (2019-06-24)
Updated PageRank
Added tests for Numba versioning
0.6.1 (2019-06-19)
Minor bug
0.6.0 (2019-06-19)
Largest connected component
Simplex projection
Sparse Low Rank Decomposition
Numba support for Paris
Various fixes and updates
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.
Metadata
Release files for scikit-network 0.7.1
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-network-0.7.1.tar.gz | 48.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_network-0.7.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 111.4 kB
Release files / scikit-network-0.7.1.tar.gz
| Download URL | scikit-network-0.7.1.tar.gz |
|---|---|
| Size | 48.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / scikit_network-0.7.1-py2.py3-none-any.whl
| Download URL | scikit_network-0.7.1-py2.py3-none-any.whl |
|---|---|
| Size | 62.6 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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