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-networkImport scikit-network in a Python project:
import sknetwork as skn
See examples in the tutorials; the notebooks are available here.
History
0.10.1 (2019-08-26)
Minor bug
0.10.0 (2019-08-26)
Clustering (and related metrics) for directed and bipartite graphs
Hierarchical clustering (and related metrics) for directed and bipartite graphs
Fix bugs on embedding algorithms
0.9.0 (2019-07-24)
Change parser output
Fix bugs in ranking algorithms (zero-degree nodes)
Add notebooks
Import algorithms from scipy (shortest path, connected components, bfs/dfs)
Change SVD embedding (now in decreasing order of singular values)
0.8.2 (2019-07-19)
Minor bug
0.8.1 (2019-07-18)
Added diffusion ranking
Minor fixes
Minor doc tweaking
0.8.0 (2019-07-17)
Changed Louvain, BiLouvain, Paris and PageRank APIs
Changed PageRank method
Documentation overhaul
Improved Jupyter tutorials
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.
Release files for scikit-network 0.10.1
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-0.10.1.tar.gz | 58.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_network-0.10.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 135.2 kB
Release files / scikit-network-0.10.1.tar.gz
| Download URL | scikit-network-0.10.1.tar.gz |
|---|---|
| Size | 58.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7cad597b78cd5fb0fad926eea6750f73b9eec6fb6250c0e5226c5d1916b458f2
|
|
BLAKE2b-256 checksum How to use checksums |
29f5fafc87a2e6c4920b8dc7b61e33acf79830d7e2ce268714a746761bd72aa4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.7
|
Release files / scikit_network-0.10.1-py2.py3-none-any.whl
| Download URL | scikit_network-0.10.1-py2.py3-none-any.whl |
|---|---|
| Size | 76.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
77c17b14581f707a8ce86061b845185e050dc086c8eb1f075a5fe295ad7e276d
|
|
BLAKE2b-256 checksum How to use checksums |
4fd7f8fb7b46b7f1da31bda59b0e685b6bbd4ff3fc9c42ca88074a3d526475f8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.7
|
