This repository provides a robust and scalable project template for building high-performance RESTful APIs using Python, FastAPI, and PostgreSQL. It is built upon a clean, modular architecture that separates concerns into distinct layers: API endpoints, business logic (CRUD operations), and data models. This structure provides a solid foundation for developing maintainable and scalable backend applications.
Key Features & Market Value
- High Performance: Leverages the full speed of FastAPI, one of the fastest Python web frameworks available, ensuring low latency and high throughput for your applications.
- Rapid Development: Designed to be intuitive and easy to code. Features like Pydantic data validation and automatic interactive API documentation (via Swagger UI) drastically reduce development time and time-to-market.
- Reliability & Data Integrity: Enforces strict data validation for all incoming and outgoing data through Pydantic schemas, minimizing bugs and ensuring data consistency.
- Scalable & Maintainable: The modular architecture makes it simple to add new features, troubleshoot issues, and onboard new developers. The clear separation of logic prevents code from becoming tangled as the project grows.
- Secure Database Interaction: Uses SQLAlchemy, a powerful and secure SQL toolkit that helps prevent common vulnerabilities like SQL injection.
Common Use Cases & Applications
This template is the ideal starting point for a wide range of backend services, including:
- E-commerce Platforms: Manage products, customers, orders, and inventory.
- Content Management Systems (CMS): Power blogs, websites, and documentation platforms.
- APIs for Mobile Apps: Provide a reliable backend for social networks, delivery services, fitness trackers, and more.
- SaaS Products: Build the core business logic for any Software-as-a-Service application.
- IoT Platforms: Ingest, process, and serve data from IoT devices and sensors.
- Internal Business Tools: Create systems for task management, scheduling, or data administration.
python -m pip install -r requirements.txt
#If everything completes should be available on notes #Docs are generated on docs
Tests are available using pytest
Run them using pytest . while in the root directory (/python-fastapi-postgresql-curd-example)
Open API Documentation is provided by Redoc
uvicorn app.main:app --reload --workers 1 --host 0.0.0.0 --port 8000
or 'uvicorn app.main:app --reload'