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Korvex

CI License: MIT

A fast router for Python, written in Rust, with an ASGI app on top and a built-in server to run it.

Korvex is young (alpha). It's fast (see Performance), but it lacks some of what full frameworks offer: WebSockets, validation, OpenAPI. The roadmap lists what's coming.

pip install korvex

The router

Router maps a path and an HTTP method to a handler name. It never calls your code: what you do with the name is up to you.

from korvex import Router

router = Router()
router.get("/users/{id:int}", "get_user")
router.post("/users", "create_user", middleware=["auth"])

router.match("/users/42")         # ("get_user", {"id": 42}, ())
router.match("/users", "POST")    # ("create_user", {}, ("auth",))
router.match("/nope")             # None
router.match("/users", "DELETE")  # raises MethodNotAllowed, .allowed == ["POST"]

Path syntax

Segment Matches Example
users exactly users /users
{id} any segment /users/{id}
{id:int} an integer (42, -7) /users/{id:int}
{id:uuid} a UUID /items/{id:uuid}
*path the rest of the path (last segment) /static/*path

{id:int} gives an int and {id:uuid} a uuid.UUID; every other captured value is a string. When several routes could match, the most specific one wins: literal, then {id:int}/{id:uuid}, then {id}, then *path.

API

Method Does
route(path, handler, *, method="GET", middleware=None) Registers a route (replaces an existing one).
get / post / put / patch / delete / head / options(path, handler, *, middleware=None) Shortcuts for route.
match(path, method="GET") (handler, params, middleware), None, or raises MethodNotAllowed.
remove(path, method="GET") Removes a route by its pattern. Returns whether it existed.
routes() Every route as (path, method, handler, middleware).
group(prefix, *, middleware=None) A RouteGroup (see below).

Invalid paths or methods raise ValueError.

match keeps the last 1,024 distinct lookups in a cache, and adding or removing a route clears it. Its results are shared between calls, so they are immutable: params is a read-only mapping and middleware a tuple.

Route groups

api = router.group("/api", middleware=["auth"])
api.get("/users", "list_users")             # GET /api/users, middleware ("auth",)

admin = api.group("/admin", middleware=["admin"])
admin.get("/stats", "stats")                # GET /api/admin/stats, middleware ("auth", "admin")

The ASGI app

App runs the matched handler for you. Serve it with any ASGI server (uvicorn, hypercorn, granian...).

from korvex import App, Response

app = App()

@app.get("/users/{id:int}", middleware=["auth"])
async def get_user(request, id):
    return Response.json({"id": id})

@app.middleware("auth")
def auth(request):
    if request.headers.get("Authorization") is None:
        return Response.text("Unauthorized", status=401)  # stops here
    return None                                          # carries on
pip install "korvex[serve]"   # installs uvicorn
uvicorn mymodule:app
  • Handlers receive the Request plus path params as keyword arguments, and return a Response. Middleware returns a Response to answer early, or None to continue. Both can be sync or async.
  • Request has method, path, headers, query_params, path_params, cookies, client ((host, port)), scheme, and await request.body(), await request.json(), await request.form(). A form maps each field to its values; files from a multipart form are UploadedFiles (filename, content_type, data). A body that can't be parsed is answered with a 400.
  • Response(body, status=, headers=), Response.text(...), Response.json(...), Response.redirect(...), and response.set_cookie(...) / response.delete_cookie(...).
  • Response.stream(chunks) sends a body piece by piece, from a sync or async generator. Response.file(path, filename=None) sends a file in chunks (with filename, as a download). app.static("/static", "public") serves a directory; paths that leave it get a 404.
  • HEAD requests are answered by the GET route, without the body.
  • Unknown paths get a 404; known paths with the wrong method get a 405 with an Allow header.
  • raise HTTPException(404, "user not found") in a handler or middleware answers with that error. @app.exception_handler(404) (a status) or @app.exception_handler(ValueError) (an exception class) customizes the response. Any other exception gives a 500 and is logged to the korvex logger.
  • app.group(prefix, middleware=[...]) works like router.group(), with decorators: api = app.group("/api"), then @api.get("/users"). Groups nest.
  • Routes registered on app.router directly are linked to a function with @app.handler("name").
  • @app.on_startup and @app.on_shutdown run a function (sync or async) when the server starts and stops, for example to open and close a database pool. Shutdown hooks run in reverse order. If a startup hook raises, the server doesn't start. Both @app.on_startup and @app.on_startup() work.

More in examples/. To put it in production (behind nginx or Caddy, in Docker, on AWS Lambda or Vercel), see the deployment guide.

The built-in server

Korvex can run an App without an ASGI server, on Linux and macOS. On the same CPU cores, it serves 20 to 36% more requests than uvicorn with about 40% less memory (see Performance).

korvex run main:app --workers 3

or, from Python, app.run(workers=3). The same options exist in both:

Option Default Does
--host, --port 127.0.0.1, 8000 Address to listen on.
--uds PATH Listen on a Unix socket instead, for a proxy on the same machine.
--workers N 1 Processes sharing the port. About 3 per 4 CPU cores works best. A worker that crashes is restarted.
--graceful-timeout S 30 On Ctrl+C or SIGTERM, seconds requests in progress get to finish.
--max-body BYTES 1 MiB Larger request bodies get a 413. A route can set its own: @app.post("/upload", max_body=50_000_000).
--timeout S 30 Seconds a client gets to send the headers, then the body (408 after that).
--forwarded-allow-ips 127.0.0.1,::1 Proxies whose X-Forwarded-For and X-Forwarded-Proto set request.client and request.scheme. * trusts any.
--access-log off Log each request.

How it works: a Rust thread per worker reads each request in full, without touching Python, then hands it to the asyncio loop, which runs your handlers. A slow or huge upload never holds a Python worker.

Things to know:

  • Run it behind a reverse proxy (nginx, Caddy, Traefik) in production: it speaks HTTP/1.1 only, and HTTPS, HTTP/2 and HTTP/3 are the proxy's job.
  • The 413 and 408 errors are answered by the server itself, before your app sees the request, so @app.exception_handler doesn't apply to them.
  • The App is still a plain ASGI app: uvicorn, Granian or a serverless platform keep working, and Windows needs one of them.

Performance

Servers

The same app, served by each server on the same 4 CPU cores, each with its best number of workers:

Requests per second on the same 4 CPU cores, with 200 and 1,000 clients: Korvex built-in server 126.4k and 130.5k, Granian with the Korvex app 111.6k and 113.4k, uvicorn with the Korvex app 105.0k and 96.3k, Robyn 90.3k and 81.9k.
Server Requests/s, 200 clients 1,000 clients RAM
Korvex built-in (3 workers) 126.4k 130.5k 113 MB
Granian + Korvex app (3 workers) 111.6k 113.4k 196 MB
uvicorn + Korvex app (4 workers) 105.0k 96.3k 196 MB
Robyn (4 processes, 2 threads each) 90.3k 81.9k 228 MB
  • Granian is a Rust ASGI server too: it does better than uvicorn here, but the built-in server still leads, because it skips the ASGI layer.
  • Robyn runs its own version of the app with its own Rust server.
  • No request failed.

Reproduce with uv run python benches/servers.py (needs cargo install oha, takes about 4 minutes).

Under load

The same small app (1,000 routes, one JSON endpoint) in each framework, served the same way (uvicorn, one worker, one CPU core) and flooded with requests to random URLs by oha:

Requests per second on one CPU core with 200 clients: Korvex 33.7k, Starlette 3.0k to 30.6k, Falcon 30.5k, Litestar 18.2k, Sanic 15.8k, FastAPI 1.6k to 12.4k, BlackSheep 6.7k, Django 1.1k to 2.2k.
Framework Requests/s, 200 clients p99 latency, 1,000 clients RAM at rest, peak
Korvex 33.7k 26 ms 35 MB, 46 MB
Starlette 3.0k to 30.6k 35 to 189 ms 39 MB, 49 MB
Falcon 30.5k 31 ms 60 MB, 63 MB
Litestar 18.2k 79 ms 78 MB, 89 MB
Sanic 15.8k 94 ms 60 MB, 105 MB
FastAPI 1.6k to 12.4k 57 to 351 ms 66 MB, 77 MB
BlackSheep 6.7k 70 ms 51 MB, 59 MB
Django 1.1k to 2.2k 1.3 to 1.9 s 48 MB, 145 MB
  • Every framework uses a full CPU core under load, so requests per second is also how much work each one gets out of that core.
  • Falcon, and Starlette in its best case, come within about 10% of Korvex.
  • Starlette, FastAPI and Django try routes one by one: the ranges go from the tested route declared after the 1,000 others to declared first. BlackSheep tries them one by one too, but sorts them itself, deepest first, so here the tested route always comes last.
  • No request failed. Throughput holds steady as clients are added; latency grows because requests queue, not because each one gets slower. After the flood, memory stays flat and speed is back to normal.

Robyn isn't in this table, since it can't run on uvicorn: it's compared with Korvex's built-in server above.

Reproduce with uv run python benches/load_test.py (needs cargo install oha, takes about 11 minutes).

Router alone

Route matching only, without any server:

Time per route lookup at 10,000 routes. Without cache: Korvex 347 ns, Litestar 732 ns, Sanic 3.5 µs, Flask 3.5 µs, Django 1.3 ms, Starlette 1.5 ms. With each router's cache and repeated URLs: Korvex 67 ns, Litestar 92 ns, Sanic 211 ns.

Median time per lookup, 10,000 routes:

Router First time a URL is seen Same URL again (cached)
Korvex 347 ns 67 ns
Litestar 732 ns 92 ns
Sanic 3.5 µs 211 ns
Flask 3.5 µs (no cache)
Django 1.3 ms (no cache)
Starlette / FastAPI 1.5 ms (no cache)
  • Korvex is the fastest in both cases, and its time stays flat as routes are added. Django and Starlette try routes one by one, so they slow down linearly.
  • Korvex, Litestar and Sanic cache the last 1,024 lookups. The cache helps most with static URLs; URLs with parameters (/users/1, /users/2, ...) are often different, so they hit it less.
  • With few routes, the server and the handler cost more than the router. With many routes, a router that tries them one by one becomes the main cost (see Under load).

Reproduce with uv run pytest benches/bench_router.py --benchmark-only --benchmark-json=benches/results.json, then uv run python benches/plot.py to redraw both charts. Results depend on the machine: measure your own workload before relying on any number.

Development

uv run maturin develop --release   # build the Rust extension
uv run pytest                      # Python tests
cargo test                         # Rust tests

See CONTRIBUTING.md, and ROADMAP.md for what's planned.

License

MIT

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