loongson/pypi/: graspologic-native-1.2.5 metadata and description

Simple index

Python native companion module to the graspologic library

author daxpryce@microsoft.com
author_email Dax Pryce <daxpryce@microsoft.com>
classifiers
  • Development Status :: 5 - Production/Stable
  • License :: OSI Approved :: MIT License
  • Programming Language :: Python :: Implementation :: CPython
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: 3.10
  • Programming Language :: Python :: 3.11
  • Programming Language :: Python :: 3.12
  • Programming Language :: Python :: 3.13
  • Topic :: Scientific/Engineering :: Mathematics
description_content_type text/markdown; charset=UTF-8; variant=GFM
license MIT
maintainer_email Dax Pryce <daxpryce@microsoft.com>
project_urls
  • Github, https://github.com/graspologic-org/graspologic-native
  • Graspologic, https://github.com/graspologic-org/graspologic
requires_python >=3.8, <3.14
File Tox results History
graspologic_native-1.2.5-cp38-abi3-manylinux_2_28_loongarch64.whl
Size
759 KB
Type
Python Wheel
Python
3.8

# 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](https://openaccess.leidenuniv.nl/handle/1887/78029), 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](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](https://github.com/pyo3/maturin)

Please consider using [graspologic](https://github.com/microsoft/graspologic) in lieu of graspologic-native, as the former will contain some nice wrappers to make usage of this library more pythonic.