Community Detection Python Packages

python-louvain

Louvain Community Detection

cdlib

Community Discovery Library

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

pymocd

A Multi-objective community detection library written in Rust exposed to python through PyO3

dress-graph

DRESS: A Continuous Framework for Structural Graph Refinement

graphqlite

A SQLite extension that adds graph database capabilities with Cypher query language support and built-in graph algorithms.

graphriccicurvature

A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.

pygenstability

PyGenStability: Multiscale community detection with generalized Markov Stability

nf1

A novel approach to evaluate community detection algorithms on ground truth

cohera

Sheaf theory and community detection

sinr

The SINr approach to train interpretable word and graph embeddings

weft-graph

Local-first knowledge graph for browser tabs. Louvain clustering, PageRank, MCP server for AI assistants, Chrome extension, CLI. 100% private.

communities

Library of graph clustering algorithms

visualisemarkovcommunities

PyMOL visualisation of Markov communities within biological molecules.

pydcd

PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks

vieclus

Vienna Graph Clustering

rdyn

RDyn: graph benchmark handling community dynamics

networkx-mcp-server

NetworkX MCP Server with Security Fortress - Enterprise-grade secure graph analysis with AI-powered threat detection

comdet

The purpose of packge is to detect relationship between graph nodes. It detects the overall community structure

iflow-mcp-brightliu-networkx-mcp-server

🕸️ First NetworkX MCP server for graph analysis in AI conversations | Community & Enterprise editions | Graph algorithms • Network analysis • MCP integration

community-detect

Community detection using attribute and structural similarities.

ugle

Python Framework for An Investigation into Unsupervised GNN Learning Environments

cd-benchmark

A Python project for analyzing network structures and detecting communities using various algorithms such as Louvain, Leiden, Infomap, and others. The project supports both directed and undirected graphs, computes network statistics, detects communities, and exports comparative evaluation results.

louvain-github

Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.