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FastAPI
Web framework for Python From Wikipedia, the free encyclopedia
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FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+.[3] It uses Pydantic and type hints to validate, serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it.[4] It was first released in 2018.
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Components
Pydantic
Pydantic is a data validation library for Python. While writing code in an IDE, Pydantic provides type hints for schema validation and serialization through type annotations.[5]
Starlette
Starlette is a lightweight ASGI framework/toolkit, to support async functionality in Python.[6]
Uvicorn
Uvicorn is a minimal low-level server/application web server for async frameworks, following the ASGI specification. Technically, it implements a multi-process model with one main process, which is responsible for managing a pool of worker processes and distributing incoming HTTP requests to them. The number of worker processes is pre-configured, but can also be adjusted up or down at runtime.[7]
OpenAPI Integration
FastAPI automatically generates OpenAPI documentation for APIs. This documentation includes both Swagger UI and ReDoc, which provide interactive API documentation that you can use to explore and test your endpoints in real time. This is particularly useful for developing, testing, and sharing APIs with other developers or users.[8]
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Example
The following code shows a simple web application that displays "Hello World!" when visited:
# Import FastAPI class from the fastapi package
from fastapi import FastAPI
# Create an instance of the FastAPI app
app = FastAPI()
# Define a GET route for the root URL ("/")
@app.get("/")
async def read_root() -> str:
# Return a plain text response
return "Hello, World!"
See also
External links
References
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