What does it do?
Sanic looks and feels a lot like Flask to write, but underneath it processes many requests at the same time instead of one after another, closing much of the speed gap Python traditionally had against JavaScript-based servers. It’s like swapping a single-lane checkout line for a store with a dozen registers open at once. Developers who already know Flask’s style can pick it up quickly while gaining serious performance headroom for busier applications.
See it in action
This code builds a small website that replies with a greeting message and is designed to handle many visitors’ requests at the same time.
from sanic import Sanic
from sanic.response import json
app = Sanic("MyApp")
@app.get("/")
async def home(request):
return json({"message": "Hello, world!"})
if __name__ == "__main__":
app.run()Why would a non-developer care?
Speed differences that seem abstract in code become very real to a person waiting for a page to load or an app to respond. Sanic exists because Python developers wanted that responsiveness without abandoning the language they already knew.
Real-world examples
Sanic has been adopted by companies building high-traffic APIs who wanted Python’s readability without sacrificing the throughput usually associated with faster languages. Without frameworks like this, teams historically felt pressure to rewrite performance-critical services in another language just to keep up with traffic.
Who uses it
Developers building high-traffic APIs who want Flask-like simplicity but need meaningfully faster performance under heavy load.
How it compares to alternatives
Sanic competes most directly with FastAPI and Starlette in the async Python space; FastAPI has pulled ahead in popularity thanks to its automatic documentation, but Sanic remains known for prioritizing raw throughput.
Fun fact
Sanic is named after the ‘Sanic’ internet meme — a deliberately badly drawn, exaggeratedly fast image of Sonic the Hedgehog — as a nod to the framework’s obsession with speed.