graspologic-native
Decision gist · record as of 2026-08-14
Yes, if you need fast community detection for graph analysis and are using Python 3.9+. The package is actively maintained, has no known vulnerabilities, and offers prebuilt wheels for most platforms. Install friction is moderate but manageable; if your platform lacks a prebuilt wheel, building from source requires Rust and uv. Best suited as a dependency of graspologic rather than standalone use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later and a 64-bit operating system; prebuilt wheels available for common platforms, but source builds require Rust stable and uv.
- Medium install friction due to compiled wheels; prebuilt binaries available for Python 3.9–3.13 on x86_64 and aarch64 across Linux, macOS (universal2), and Windows.
- Actively maintained with recent release (61 days ago) and no known vulnerabilities.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive); you can use, modify, and distribute this package with minimal restrictions, including in commercial projects.
last release 2026-06-14 (61 days) · last repo commit 2026-06-14 · 23 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 220,291 downloads/mo, #9,306 on PyPI
Alternatives
Verify before relying
pip install graspologic-native
import graspologic_native
# Use Leiden algorithm via graspologic package integration- Exact API surface and function signatures for the Leiden implementation exposed to Python
- Performance benchmarks or typical speedup vs. pure-Python alternatives
- Whether this package is intended for standalone use or primarily as a dependency of graspologic
What it is and what it does
graspologic-native is a compiled Python extension that implements the Leiden community detection algorithm in Rust for use in graph analysis workflows. The Leiden algorithm identifies clusters or communities within network structures, and this package provides a high-performance native implementation rather than a pure-Python one. It is built using PyO3 and maturin, and depends only on numpy and scipy.
The package is designed to serve as a performance-critical component, likely integrated into the broader graspologic graph statistics library. It targets Python 3.9 and later on 64-bit systems, with prebuilt wheels for common platforms (Linux, macOS, Windows on x86_64 and aarch64). If prebuilt wheels don't match your platform, you can build from source using Rust and uv.
Use it for
- Detect communities or clusters in large network graphs as part of graph analysis pipelines
- Accelerate community detection workloads where pure-Python implementations are too slow
- Integrate high-performance Leiden clustering into graspologic-based research or production systems
- Analyze social networks, biological networks, or other graph structures for structural patterns
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need fast community detection for graph analysis and are using Python 3.9+.
The package is actively maintained, has no known vulnerabilities, and offers prebuilt wheels for most platforms. Install friction is moderate but manageable; if your platform lacks a prebuilt wheel, building from source requires Rust and uv. Best suited as a dependency of graspologic rather than standalone use.
Install
graspologic-native on PyPI
Before you install
Medium install friction due to compiled wheels; prebuilt binaries available for Python 3.9–3.13 on x86_64 and aarch64 across Linux, macOS (universal2), and Windows. Actively maintained with recent release (61 days ago) and no known vulnerabilities.
Requires Python 3.9 or later and a 64-bit operating system; prebuilt wheels available for common platforms, but source builds require Rust stable and uv.
License in practice
MIT license (permissive); you can use, modify, and distribute this package with minimal restrictions, including in commercial projects.
Quickstart
pip install graspologic-native
import graspologic_native
# Use Leiden algorithm via graspologic package integrationVerify before relying
- Exact API surface and function signatures for the Leiden implementation exposed to Python
- Performance benchmarks or typical speedup vs. pure-Python alternatives
- Whether this package is intended for standalone use or primarily as a dependency of graspologic
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 2 packagesnumpyscipy |
| Maintenance | Actively maintained 61 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 220,291 / month, #9,306 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonTopic :: Scientific/Engineering :: Mathematics |
Evidence: graspologic_native-1.3.1-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl; graspologic_native-1.3.1-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; graspologic_native-1.3.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; graspologic_native-1.3.1-cp39-abi3-musllinux_1_2_aarch64.whl; graspologic_native-1.3.1-cp39-abi3-musllinux_1_2_x86_64.whl; graspologic_native-1.3.1-cp39-abi3-win_amd64.whl; graspologic_native-1.3.1-cp39-abi3-win_arm64.whl
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