django-clean-architecture

Clean architecture in Django separates your codebase into distinct layers: models for data, services for business logic, selectors for queries, and views/serializers for API responses. This layered approach improves testability, readability, and makes scaling easier as your project grows.

Organize Django apps by enforcing layer boundaries: keep models focused on data structure, move business logic into dedicated service classes, use selectors for complex queries, and restrict views to request handling and serialization. This separation makes code modular and easier to test independently.

A service layer centralizes business logic, removing it from views and models. This makes your codebase more testable since services can be tested without HTTP context, easier to reuse logic across endpoints, and simpler to maintain as requirements change.

Yes. Clean architecture extends to Celery tasks by keeping them thin and delegating work to services. Tasks handle async invocation while services contain the actual business logic, ensuring your background jobs remain testable and reusable across your application.

Use clean architecture when building Django projects with multiple apps or anticipated growth. It prevents tight coupling early, making scaling smoother. For small, single-purpose projects it may add overhead, but it becomes valuable as complexity and team size increase.

No, you can adopt clean architecture incrementally. Start with new features or apps using the layered pattern, then gradually refactor existing code. This reduces risk and lets you experience the benefits before committing the entire codebase.