The Best Folder Structure for a FastAPI Project

Organizing your FastAPI project properly is key to scalability, maintainability, and performance.

Why Folder Structure Matters in FastAPI

• Scalability: Easily add new features and APIs.
• Readability: Maintain clear project organization.
• Maintainability: Reduce technical debt over time.
• Performance Optimization: Improve modularity and efficiency.

Recommended FastAPI Folder Structure

/your-fastapi-project
├── app/
│   ├── api/            # API route definitions
│   ├── models/         # Database models
│   ├── schemas/        # Pydantic models
│   ├── services/       # Business logic
│   ├── core/           # Core settings and configuration
│   ├── middlewares/    # Middleware functions
│   ├── dependencies/   # Dependency injection modules
│   ├── tests/          # Unit and integration tests
│   ├── main.py         # FastAPI entry point
├── .env                # Environment variables
├── requirements.txt    # Python dependencies
├── Dockerfile          # Docker configuration
├── README.md           # Project documentation

Best Practices for Structuring a FastAPI Project

• Separate concerns: Keep API routes, models, and services in distinct folders.
• Use Pydantic schemas: Store them in the schemas/ directory.
• Centralize database models: Keep all SQLAlchemy models inside models/.
• Modularize business logic: Use services/ to handle application logic.
• Keep configurations organized: Place them in core/ for better maintainability.

Final Thoughts

A well-organized FastAPI project structure ensures better maintainability and scalability. Following these best practices will help keep your project clean and efficient.

Published by Mkdirify.com