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FastAPI Best Practices is an open-source collection of development guidelines, architectural patterns, and coding conventions for building reliable Python APIs with FastAPI. It draws on practical experience developing production applications and focuses on maintainability, scalability, and performance. The guide recommends domain-based project organization to separate business logic, routes, models, and dependencies. It explains asynchronous programming, blocking operations, CPU-intensive workloads, and efficient dependency injection. Developers also learn how to use Pydantic for data validation, serialization, and configuration management. Additional recommendations cover RESTful API design, database migrations, SQLAlchemy, testing, and code quality. The repository includes machine-readable guidance for AI coding agents and examples of common development mistakes.
Features
- Domain-Based Project Architecture
- Asynchronous Route Optimization
- Pydantic Validation and Serialization
- Reusable Dependency Injection Patterns
- Database Migration Best Practices
- Automated Testing and Code Quality Guidelines
Project Samples
