CodeGraph is a Python command-line tool that performs static analysis on Python source code to generate dependency graphs. It parses Python files to extract functions, classes, and import statements, then builds a graph showing how these entities depend on each other. The tool outputs an interactive HTML visualization (using D3.js by default) or can export the data to CSV or print it to the console. The architecture is modular, consisting of a parser (using Python's tokenize module), a core module that builds the dependency graph, utility functions for file discovery, and a visualizer that supports both D3.js (interactive) and matplotlib (legacy) backends. The tool does not execute the code being analyzed, making it safe and fast for large codebases. Key strengths include a robust parser that handles various import styles and class inheritance, and a flexible visualization system that provides features like search, collapsing/expanding nodes, and detailed tooltips. The project is actively maintained with comprehensive tests and supports multiple Python versions.

O! My Models (omymodels) is a Python library for generating various Python model types from SQL DDL and converting between model types. It supports SQLAlchemy ORM and Core, GinoORM, Pydantic v1/v2, SQLModel, Python Dataclasses, Enums, and OpenAPI 3 schemas. The architecture follows a pipeline: SQL DDL parsing → normalization → type conversion → model generation → Jinja2 template rendering. Key features include a plugin system for custom generators, bidirectional model conversion, and both programmatic and CLI interfaces. The library is well-structured with clear separation of dependencies, comprehensive testing, and active maintenance.