taynaud/python-louvain
Louvain Community Detection observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3669
- days_rel: n/a
- days_push: 900
- n_releases_24m: 0
Adoption not part of the score
1046 stars · 199 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python library implementing the Louvain method for community detection in graphs, integrating with NetworkX. It also provides a command-line utility for debugging purposes.
Use cases
- detect communities in a networkx graph
- partition a graph into clusters with the louvain algorithm
- find community structure in social networks
- color graph nodes by community in matplotlib
- run louvain community detection from the command line
When to choose
- you need fast modularity-based community detection on NetworkX graphs
- you want a simple, well-established Python API for graph partitioning
When to avoid
- you need other clustering algorithms like Leiden or label propagation
- you need large-scale distributed graph processing
Facets
library · maturity stable
data-science math data-science analytics python cli community-detection louvain networkx graph-analysis clustering algorithms
2 sources
- readme: https://github.com/taynaud/python-louvain · fetched 2026-08-28 · 1fd3feafea94
- registry_pypi: https://pypi.org/pypi/python-louvain/json · fetched 2026-08-29 · baed353d6fb3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| taynaud/python-louvain | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="taynaud/python-louvain")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem