A practical Clean Architecture backend example built with FastAPI featuring dependency injection, DDD, CQRS, and proper unit of work.
FastAPI Clean Example is a reference backend application that demonstrates how to implement Clean Architecture principles using FastAPI. It solves the problem of building maintainable and scalable Python backends by providing a practical implementation of patterns like dependency injection, tactical DDD, and CQRS. The project shows how to structure code to achieve low coupling and proper separation of concerns in real-world applications.
Backend developers and software architects working with FastAPI who want to learn and apply Clean Architecture, Domain-Driven Design, and other software design patterns in their projects. It's particularly valuable for teams building complex business applications that require long-term maintainability.
Developers choose this project because it provides a complete, production-ready example of Clean Architecture with FastAPI, unlike theoretical tutorials. It demonstrates practical implementation of advanced patterns with proper tooling and documentation, making it easier to understand and apply these concepts in real projects.
Practical Clean Architecture backend example built with FastAPI. No stateful globals (DI), low coupling (DIP), tactical DDD, CQRS, proper UoW usage. REST API, per-route error handling, session-based auth, contextual RBAC. Bundled with extensive docs and modern tooling
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Implements Clean Architecture with distinct layers for business logic, application, and infrastructure, as highlighted in the Key Features, ensuring maintainability and scalability.
Uses dependency injection to eliminate stateful globals, promoting loose coupling and making unit testing straightforward, per the project's philosophy on testability.
Incorporates tactical DDD, CQRS, and proper unit of work, providing a practical reference for applying these advanced patterns in real-world scenarios, as listed in Key Features.
Includes session-based authentication and contextual RBAC, offering secure user management with granular access control, detailed in the Key Features for modern applications.
The README admits a refactor is in progress and key explanations are pending in the TODO list, which can hinder immediate adoption and understanding for new users.
Requires multiple tools like uv, pre-commit, and Docker with manual steps such as 'uv sync' and 'alembic upgrade head', adding overhead compared to simpler starters.
Assumes prior knowledge of DDD and Clean Architecture, making it less accessible for developers without experience in these patterns, as evident from the advanced terminology in Key Features.