In what types of projects is FastAPI recommended?

FastAPI is recommended for projects where high performance and rapid API development in Python are important. It is especially suitable for:

• Microservices and RESTful APIs — FastAPI is optimized for creating lightweight and fast web services with minimal latency.
• Projects with asynchronous logic — thanks to support for async/await, it can efficiently handle many concurrent requests.
• Prototyping and MVPs — automatic documentation generation (Swagger, ReDoc) and data validation based on Pydantic accelerate development and testing.
• Projects requiring strict typing — FastAPI uses Python type annotations, which improve code readability and maintainability.

Example of a simple API in FastAPI:

from fastapi import FastAPI

app = FastAPI()

@app.get("/items/{item_id}")
async def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}

FastAPI is not always optimal for projects with heavy server-side logic or where complex integration with synchronous libraries without async support is required.