cdlib

Provides a consistent API for over 60 community detection methods, abstracting implementation details for easy comparison and use, as highlighted in the key features.

Automatically converts between NetworkX and igraph objects, ensuring broad compatibility across Python's network analysis ecosystems without manual intervention.

Includes clustering fitness functions to rigorously assess and compare community quality, supporting reproducible research as part of its evaluation toolkit.

Implements diverse methods from Louvain to Stochastic Block Models, catering to different network types and research needs, as listed in the features.