Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations

A tutorial demonstrates building a fully offline Graphify pipeline to convert a multi-module Python application into a knowledge graph, using tree-sitter for extraction and NetworkX for analysis including centrality, community detection, and shortest paths. The pipeline requires no API key or LLM backend, enabling static and interactive visualizations of module, class, function, and database connections.

In this tutorial, we build a fully offline Graphify pipeline that turns a multi-module Python application into a knowledge graph. We install Graphify, generate a connected sample app, and extract the graph locally using tree-sitter, with no API key or LLM backend. We load graph.json into NetworkX and analyze file types, relationship types, centrality scores, community detection, and shortest paths. We then create static and interactive visualizations to see how modules, classes, functions, and database objects connect. The post Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations https://www.marktechpost.com/2026/06/24/using-graphify-and-networkx-to-map-python-codebase-structure-with-god-nodes-communities-and-architecture-visualizations/ appeared first on MarkTechPost https://www.marktechpost.com .