FastOpenAPI is a library for generating and integrating OpenAPI schemas using Pydantic and various frameworks.
This project was inspired by FastAPI and aims to provide a similar developer-friendly experience.
pip install fastopenapi
pip install fastopenapi[falcon]
pip install fastopenapi[flask]
pip install fastopenapi[sanic]
pip install fastopenapi[starlette]
pip install fastopenapi[tornado]
- Create the
main.py
file - Copy the code from an example
- For some examples uvicorn is required (
pip install uvicorn
)
-
Click to expand the Falcon Example
import falcon.asgi import uvicorn from pydantic import BaseModel from fastopenapi.routers import FalconRouter app = falcon.asgi.App() router = FalconRouter(app=app) class HelloResponse(BaseModel): message: str @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse) async def hello(name: str): """Say hello from Falcon""" return HelloResponse(message=f"Hello, {name}! It's Falcon!") if __name__ == "__main__": uvicorn.run(app, host="127.0.0.1", port=8000)
-
Click to expand the Flask Example
from flask import Flask from pydantic import BaseModel from fastopenapi.routers import FlaskRouter app = Flask(__name__) router = FlaskRouter(app=app) class HelloResponse(BaseModel): message: str @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse) def hello(name: str): """Say hello from Flask""" return HelloResponse(message=f"Hello, {name}! It's Flask!") if __name__ == "__main__": app.run(port=8000)
-
Click to expand the Quart Example
from pydantic import BaseModel from quart import Quart from fastopenapi.routers import QuartRouter app = Quart(__name__) router = QuartRouter(app=app) class HelloResponse(BaseModel): message: str @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse) async def hello(name: str): """Say hello from Quart""" return HelloResponse(message=f"Hello, {name}! It's Quart!") if __name__ == "__main__": app.run(port=8000)
-
Click to expand the Sanic Example
from pydantic import BaseModel from sanic import Sanic from fastopenapi.routers import SanicRouter app = Sanic("MySanicApp") router = SanicRouter(app=app) class HelloResponse(BaseModel): message: str @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse) async def hello(name: str): """Say hello from Sanic""" return HelloResponse(message=f"Hello, {name}! It's Sanic!") if __name__ == "__main__": app.run(host="0.0.0.0", port=8000)
-
Click to expand the Starlette Example
import uvicorn from pydantic import BaseModel from starlette.applications import Starlette from fastopenapi.routers import StarletteRouter app = Starlette() router = StarletteRouter(app=app) class HelloResponse(BaseModel): message: str @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse) async def hello(name: str): """Say hello from Starlette""" return HelloResponse(message=f"Hello, {name}! It's Starlette!") if __name__ == "__main__": uvicorn.run(app, host="127.0.0.1", port=8000)
-
Click to expand the Tornado Example
import asyncio from pydantic import BaseModel from tornado.web import Application from fastopenapi.routers.tornado import TornadoRouter app = Application() router = TornadoRouter(app=app) class HelloResponse(BaseModel): message: str @router.get("/hello", tags=["Hello"], status_code=200, response_model=HelloResponse) def hello(name: str): """Say hello from Tornado""" return HelloResponse(message=f"Hello, {name}! It's Tornado!") async def main(): app.listen(8000) await asyncio.Event().wait() if __name__ == "__main__": asyncio.run(main())
Launch the application:
python main.py
Once launched, the documentation will be available at:
Swagger UI:
http://127.0.0.1:8000/docs
ReDoc UI:
http://127.0.0.1:8000/redoc
- Generate OpenAPI schemas with Pydantic v2.
- Data validation using Pydantic models.
- Supports multiple frameworks: Falcon, Flask, Quart, Sanic, Starlette, Tornado.
- Proxy routing provides FastAPI-style routing
Explore the Docs for an overview of FastOpenAPI, its core components, and usage guidelines. The documentation is continuously updated and improved.
Examples of integration and detailed usage for each framework are available in the examples
directory.
Fast but not perfect benchmarks. Check the benchmarks
directory for details.
- Use Pydantic models for strict typing and data validation.
- Follow the project structure similar to provided examples for easy scalability.
- Regularly update dependencies and monitor library updates for new features.
If you have suggestions or find a bug, please open an issue or create a pull request on GitHub.
This project is licensed under the terms of the MIT license.