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->3.12.

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 Distribution

Built Distributions

graspologic_native-1.2.1.dev202401257658288558-cp36-abi3-win_amd64.whl (188.3 kB view details)

Uploaded CPython 3.6+ Windows x86-64

graspologic_native-1.2.1.dev202401257658288558-cp36-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (660.3 kB view details)

Uploaded CPython 3.6+ macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

File details

Details for the file graspologic_native-1.2.1.dev202401257658288558.tar.gz.

File metadata

File hashes

Hashes for graspologic_native-1.2.1.dev202401257658288558.tar.gz
Algorithm Hash digest
SHA256 3bc07fe5252a6ad91db8239a24708092dd4f32617fc58a7fb4dad48f9c64bcb6
MD5 f01a9bdcc3cf592ec36e462c76d229df
BLAKE2b-256 f4c8c180face59f338c340a3050895ede2257e9b5b17d1ebbcc66d606cda74c2

See more details on using hashes here.

File details

Details for the file graspologic_native-1.2.1.dev202401257658288558-cp36-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for graspologic_native-1.2.1.dev202401257658288558-cp36-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 63c856e5543421420474e6ce4537f9bae2953083e49b8ef9515c7dfce63489d3
MD5 beab395db2e48ee7584aa6e939430d25
BLAKE2b-256 2f69520fc692e07e6b578e7b473e32c895e5f91e870fffad02907260c32831db

See more details on using hashes here.

File details

Details for the file graspologic_native-1.2.1.dev202401257658288558-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for graspologic_native-1.2.1.dev202401257658288558-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8a5773469ffa4709064cafda346b2e5d7342f0df8ebd6829e36d634e8e9c5b30
MD5 4b8c0f6441fa3d2be047d10b24dd99f4
BLAKE2b-256 a0ffe10de21385111253b3e54502729f01c2a8ea1db2fe48205df7466ff21641

See more details on using hashes here.

File details

Details for the file graspologic_native-1.2.1.dev202401257658288558-cp36-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for graspologic_native-1.2.1.dev202401257658288558-cp36-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 f0c2845c74de8febc3289b060c2b8028b67fe836133e483fe1a569308c3af522
MD5 21fe5adf12e56f1bfeccc6f52e16855f
BLAKE2b-256 171b48ba4cb033131ff01c46d1ded036b8e1f4d032f4cf251ff560f7a9a2d1e6

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