想可视化你Python项目的代码结构？这个教程教你用Graphify和NetworkX离线搞定，还能找出上帝节点和社区。
本教程演示如何用Graphify和NetworkX将多模块Python应用转为知识图谱。通过Graphify的tree-sitter解析器离线提取代码结构，生成graph.json。之后用NetworkX分析文件类型、关系类型、中心性分数、社区检测和最短路径。最终生成静态与交互式可视化，展示模块、类、函数和数据库对象的连接。
Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations
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 appeared first on MarkTechPost .