Korvex
A fast Python web framework, with a router and an HTTP server written in Rust.
- Simple: a function per route; its parameters say what it reads.
- Typed: parameters and bodies validated with msgspec or pydantic, and described in OpenAPI, with Swagger UI.
- Fast: on one CPU core, among the fastest Python frameworks tested; its own server serves more than uvicorn, Granian, Robyn and FastrAPI on the same cores, with less memory.
- Complete: dependencies, WebSockets, a test client, ready-made middleware, and its own server, with workers and threads.
Korvex is young (alpha): the API can still change before 1.0, each change listed in the changelog with how to update.
pip install korvex
Quickstart
import msgspec # or pydantic: pip install korvex msgspec
from korvex import App, HTTPException
class Task(msgspec.Struct):
id: int
title: str
app = App()
app.docs(title="Tasks") # Swagger UI at /docs
TASKS = {1: Task(1, "Write the docs")}
@app.get("/tasks/{id:int}")
def get_task(id: int) -> Task:
"""Get a task"""
if id not in TASKS:
raise HTTPException(404, "no such task")
return TASKS[id]
if __name__ == "__main__":
app.run() # http://127.0.0.1:8000/tasks/1
And its test:
from korvex.testing import TestClient
def test_get_task():
with TestClient(app) as client:
assert client.get("/tasks/1").json() == {"id": 1, "title": "Write the docs"}
assert client.get("/tasks/2").status == 404
The guide
Also on the documentation site, with the full API reference.
Using an AI coding agent? Run korvex agents in your project: it installs
a skill that teaches it Korvex (more).
- Routes: path parameters, groups, hosts, links, static files.
- Requests and responses: what a handler gets and returns.
- Validation: typed parameters, JSON bodies, headers, cookies, forms.
- Dependencies: signing in, database connections, shared checks.
- Errors and hooks: errors, code around every request, startup and shutdown.
- WebSockets
- OpenAPI and security: statuses, tags, documented errors, Bearer and API keys.
- Ready-made middleware: CORS, request IDs, rate limiting, compression.
- Testing
- The built-in server and deployment: nginx, Caddy, Docker, AWS Lambda.
examples/ goes from a few lines to a
complete app laid out like a real project.
Performance
The same app on the same 4 CPU cores, each server with its best number of workers:
- On one core with uvicorn, Korvex serves 34.4k requests/s; Falcon 30.5k, Starlette 3.0k to 30.3k, FastAPI 1.6k to 12.6k.
- With validation, a request takes 16.6 µs in Korvex, 73.5 µs in FastAPI.
- On free-threaded Python, one worker with 3 threads serves 57% more than one thread, with a third of the memory of 4 workers.
Performance has every benchmark, and how to run them.
Contributing
uv sync # the tools, and Korvex built from source
uv run pytest
CONTRIBUTING.md has the layout of the code and every check CI runs; ROADMAP.md what's planned. Report a vulnerability privately, as SECURITY.md explains. Everyone taking part follows the code of conduct.
License
1 maintainer
Metadata
1 maintainer
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