Clean Architecture for Python
Implements Clean Architecture, Hexagonal patterns, and Domain-Driven Design (DDD) to build maintainable and testable Python backend services.
This skill empowers developers to structure Python applications using robust architectural patterns such as Clean Architecture, Hexagonal Architecture (Ports & Adapters), and Domain-Driven Design (DDD). By enforcing a strict separation of concerns between domain logic, use cases, and infrastructure, it ensures that business rules remain independent of frameworks like FastAPI or Flask and external tools like databases. It is an essential tool for scaling complex backend systems where testability, maintainability, and architectural integrity are high priorities.
Key Features
01Automated setup for Repository patterns and Dependency Injection containers
02165 GitHub stars
03Hexagonal Architecture implementation using abstract Ports and concrete Adapters
04Standardized directory structure for multi-layered Python applications
05Tactical DDD patterns including Entities, Value Objects, and Aggregates
06Framework-agnostic business logic for simplified unit testing and mocking
Use Cases
01Implementing complex domain logic that must remain isolated from database or API framework dependencies
02Designing new Python backend services with FastAPI or Flask using a scalable foundation
03Refactoring monolithic or tightly coupled legacy codebases into clean, maintainable layers