FastAPI generates Swagger docs from Python type hints, validates requests automatically, and runs on ASGI for async performance.
Why FastAPI Replaced Flask
Flask: no type hints, no validation, no auto-docs, no async support. You add extensions for everything.
FastAPI: type hints ARE the validation, documentation, and serialization.
What You Get for Free
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class User(BaseModel):
name: str
email: str
age: int | None = None
@app.get('/users/{user_id}')
async def get_user(user_id: int):
return {'user_id': user_id, 'name': 'Alice'}
@app.post('/users')
async def create_user(user: User):
return user
This gives you:
-
Swagger UI at
/docs— interactive API documentation -
ReDoc at
/redoc— alternative documentation -
Request validation —
user_idmust be int, body must match User schema - Response serialization — Pydantic handles JSON encoding
-
Async support —
async deffor non-blocking I/O
Quick Start
pip install fastapi uvicorn
uvicorn main:app --reload
Visit http://localhost:8000/docs — full API docs, auto-generated.
Performance
- Flask: ~2,000 req/s
- Django REST Framework: ~3,000 req/s
- FastAPI: ~8,000 req/s
FastAPI runs on Starlette (ASGI) with uvicorn. It's one of the fastest Python frameworks.
Dependency Injection
from fastapi import Depends
async def get_db():
db = Database()
try:
yield db
finally:
await db.close()
@app.get('/users')
async def list_users(db = Depends(get_db)):
return await db.fetch_all('SELECT * FROM users')
Dependencies are resolved automatically. Great for database connections, auth, and testing.
Why Python Developers Love It
- Less code — type hints replace manual validation
- IDE support — autocomplete for request params, body, and response
- Standards-based — uses OpenAPI, JSON Schema, OAuth2 standards
-
Testing —
TestClientfor easy testing without running the server
If you're building APIs in Python — FastAPI is the only framework to consider in 2026.
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