Skip to main content

Python native companion module to the graspologic library

Project description

graspologic-native

graspologic-native is a companion library to graspologic. This module is a Python native module created by using the network_partitions crate from the same repository.

The purpose of this module is to provide a faster implementations of graph/network analysis algorithms in a native without trying to work through the troubles of releasing Rust crates and Python modules at the same time (in specific as the Python graspologic module is expected to be far more active than the Rust crates or native modules are).

The only capability currently implemented by this module is the Leiden algorithm, described in the paper From Louvain to Leiden: guaranteeing well-connected communities, Traag, V.A.; Waltman, L.; Van, Eck N.J., Scientific Reports, Vol. 9, 2019. In addition to the paper, the reference implementation provided at https://github.com/CWTSLeiden/networkanalysis was used as a starting point.

Releases

Builds are provided for x86_64 architectures only, for Windows, macOS, and Linux, for Python versions 3.6->3.9.

Build Tools

Rust nightly 1.37+ (we are currently using 1.40) The python package maturin

Please consider using graspologic in lieu of graspologic-native, as the former will contain some nice wrappers to make usage of this library more pythonic.

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 Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

graspologic_native-1.1.2_dev202208012777816061-cp36-abi3-win_amd64.whl (193.3 kB view details)

Uploaded CPython 3.6+ Windows x86-64

graspologic_native-1.1.2_dev202208012777816061-cp36-abi3-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (602.8 kB view details)

Uploaded CPython 3.6+ macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

File details

Details for the file graspologic_native-1.1.2_dev202208012777816061-cp36-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for graspologic_native-1.1.2_dev202208012777816061-cp36-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 dda9112d25ae0f1d3cde65b0e7737023c62977ac461f26a68b7f868160bb9d71
MD5 8b940ab7495804da19c4394d9cd3af3a
BLAKE2b-256 65176ebef8c47a6cb73de173fe59809007b4c940b082ce028e7a23c222bb41b5

See more details on using hashes here.

File details

Details for the file graspologic_native-1.1.2_dev202208012777816061-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for graspologic_native-1.1.2_dev202208012777816061-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a8acd3a7d0b77cc00ed6addaa6aaa544e42e9bfe417dd3d9e069a1342dc96155
MD5 bc4390c1712e02cb4424530e9f7eb98a
BLAKE2b-256 001405efff06750a6082ab381a93ac8d11cafaffd2431a624296975889816462

See more details on using hashes here.

File details

Details for the file graspologic_native-1.1.2_dev202208012777816061-cp36-abi3-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for graspologic_native-1.1.2_dev202208012777816061-cp36-abi3-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 98d8a9321149b3d6b5a7832d427fc1d674df1fa30cc7d13026dcd641a47f1894
MD5 6b486de6453cbe3ae9062e864daf876f
BLAKE2b-256 4946f94517bdc6bbc31e01089826e3536c913f02c51810f6c9c82fe74e8e22fa

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page