Sobes.tech
Junior — Middle

What libraries have you used when working with FastAPI?

sobes.tech AI

Answer from AI

When working with FastAPI, the following libraries are often used:

  • Pydantic — for data validation and serialization, describing request and response models.
  • Uvicorn — an ASGI server for running FastAPI applications.
  • SQLAlchemy — an ORM for working with databases.
  • Databases — an asynchronous layer for database operations.
  • HTTPX — an asynchronous HTTP client for testing and calling external APIs.
  • Alembic — for database migrations.
  • pytest and pytest-asyncio — for writing tests.

Example of using Pydantic with FastAPI:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float

@app.post("/items/")
async def create_item(item: Item):
    return item