FastHTTP
Fast, simple HTTP client with decorator-based routing, async support, and beautiful logging.
Documentation: https://fasthttp.ndugram.dev/en/latest/
Source Code: https://github.com/ndugram/fasthttp
FastHTTP is a modern async HTTP client library for Python, built on top of httpx. It brings a decorator-based API — similar to FastAPI, but for outgoing requests — with structured logging, middleware, Pydantic validation, and a built-in Swagger UI.
The key features are:
- Fast: built on httpx with full async support and parallel request execution.
- Rust-powered: performance-critical internals (URL resolution, HTML parsing, JSON serialization) are compiled Rust extensions via PyO3 — shipped as pre-built wheels, no Rust toolchain required.
- Simple: define HTTP requests as decorated async functions, no boilerplate.
- Typed: full type annotations throughout; validate responses with Pydantic models.
- Logged: colorful, structured request/response logs with timing, built-in.
- Complete: GET, POST, PUT, PATCH, DELETE, and GraphQL out of the box.
- Extensible: middleware, dependency injection, routers, lifespan hooks.
- Interactive: built-in Swagger UI via
app.web_run()to browse and execute requests in the browser. - HTTP/2: optional HTTP/2 support, with automatic fallback to HTTP/1.1.
Sponsors¶
SudoTeach — a platform for learning programming. Practical courses on Python, backend, and DevOps from working developers.
Requirements¶
Python 3.10+
FastHTTP stands on the shoulders of giants:
httpx— async HTTP transport.pydantic— response model validation and serialization.orjson— fast JSON parsing.typer— CLI interface.uvicorn— ASGI server forweb_run().
Installation¶
Example¶
Create it¶
Create a file main.py:
from fasthttp import FastHTTP
from fasthttp.response import Response
app = FastHTTP()
@app.get(url="https://httpbin.org/get")
async def get_data(resp: Response) -> dict:
return resp.json()
if __name__ == "__main__":
app.run()
Run it¶
Check it¶
You will see output like:
16:09:18.955 │ INFO │ fasthttp │ ✔ FastHTTP started
16:09:19.519 │ INFO │ fasthttp │ ✔ GET https://httpbin.org/get [200] 458.26ms
16:09:20.037 │ INFO │ fasthttp │ ✔ Done in 1.08s
The resp object gives you access to status, headers, and body. resp.json() returns the parsed response:
{
"args": {},
"headers": {
"Accept": "*/*",
"Host": "httpbin.org",
"User-Agent": "python-httpx/0.28.1"
},
"origin": "...",
"url": "https://httpbin.org/get"
}
Interactive API docs¶
Replace app.run() with app.web_run():
from fasthttp import FastHTTP
from fasthttp.response import Response
app = FastHTTP()
@app.get(url="https://jsonplaceholder.typicode.com/users/1")
async def get_user(resp: Response) -> dict:
return resp.json()
@app.post(url="https://jsonplaceholder.typicode.com/users")
async def create_user(resp: Response) -> dict:
return resp.json()
if __name__ == "__main__":
app.web_run()
Now go to http://127.0.0.1:8000/docs.
You will see the automatic interactive API documentation:

Expand any route to inspect parameters, schemas, and expected responses:

Click Try it out to execute the request directly from the browser and see the real response:

Upgrade the example¶
Now modify main.py to get more out of FastHTTP. Each upgrade below builds on the previous one.
With Pydantic response models...
Declare a Pydantic model and pass it as `response_model`. FastHTTP will validate and parse the response automatically:from fasthttp import FastHTTP
from fasthttp.response import Response
from pydantic import BaseModel
class User(BaseModel):
id: int
name: str
email: str
app = FastHTTP()
@app.get(
url="https://jsonplaceholder.typicode.com/users/1",
response_model=User,
)
async def get_user(resp: Response) -> User:
return User(**resp.json())
if __name__ == "__main__":
app.run()
With multiple HTTP methods...
Register as many routes as you need across all HTTP methods. FastHTTP runs them concurrently:from fasthttp import FastHTTP
from fasthttp.response import Response
app = FastHTTP()
@app.get(url="https://httpbin.org/get")
async def get_data(resp: Response) -> dict:
return resp.json()
@app.post(url="https://httpbin.org/post")
async def post_data(resp: Response) -> dict:
return resp.json()
@app.put(url="https://httpbin.org/put")
async def put_data(resp: Response) -> dict:
return resp.json()
@app.delete(url="https://httpbin.org/delete")
async def delete_data(resp: Response) -> int:
return resp.status_code
if __name__ == "__main__":
app.run()
With routers...
Group related routes into a `Router` with a shared prefix or base URL, then include it into the app:from fasthttp import FastHTTP, Router
from fasthttp.response import Response
users_router = Router(prefix="https://jsonplaceholder.typicode.com")
@users_router.get(url="/users/1")
async def get_user(resp: Response) -> dict:
return resp.json()
@users_router.get(url="/users/2")
async def get_user_two(resp: Response) -> dict:
return resp.json()
@users_router.post(url="/users")
async def create_user(resp: Response) -> dict:
return resp.json()
app = FastHTTP()
app.include_router(users_router)
if __name__ == "__main__":
app.run()
With middleware...
Intercept and modify requests before they are sent and responses after they are received:from fasthttp import FastHTTP
from fasthttp.middleware import BaseMiddleware
from fasthttp.response import Response
class LoggingMiddleware(BaseMiddleware):
__priority__ = 0
__methods__ = None
__enabled__ = True
async def request(self, method: str, url: str, kwargs: dict) -> dict:
print(f"→ {method} {url}")
return kwargs
async def response(self, response: Response) -> Response:
print(f"← {response.status}")
return response
app = FastHTTP(middleware=[LoggingMiddleware()])
@app.get(url="https://httpbin.org/get")
async def get_data(resp: Response) -> dict:
return resp.json()
if __name__ == "__main__":
app.run()
With dependency injection...
Use `Depends` to share logic across routes — auth tokens, computed headers, or any reusable setup:from fasthttp import FastHTTP, Depends
from fasthttp.response import Response
from fasthttp.types import RequestsOptinal
def auth_headers() -> RequestsOptinal:
return {"headers": {"Authorization": "Bearer my-token"}}
app = FastHTTP()
@app.get(
url="https://httpbin.org/get",
dependencies=[Depends(auth_headers)],
)
async def get_data(resp: Response) -> dict:
return resp.json()
if __name__ == "__main__":
app.run()
With lifespan...
Run setup and teardown logic around your requests using an async context manager:from contextlib import asynccontextmanager
from fasthttp import FastHTTP
from fasthttp.response import Response
@asynccontextmanager
async def lifespan(app: FastHTTP):
print("Startup: loading credentials...")
app.token = "my-secret-token" # type: ignore[attr-defined]
yield
print("Shutdown: cleanup done.")
app = FastHTTP(lifespan=lifespan)
@app.get(url="https://httpbin.org/get")
async def get_data(resp: Response) -> dict:
return resp.json()
if __name__ == "__main__":
app.run()
With GraphQL...
Use `@app.graphql` to send queries and mutations. The handler returns the query body; FastHTTP sends it and gives you the parsed response:Optional dependencies¶
httpx[http2]— HTTP/2 protocol support.
Enable HTTP/2 per app instance:
Servers that don't support HTTP/2 fall back to HTTP/1.1 automatically.
License¶
This project is licensed under the terms of the MIT license.