No one ever lists the features I really want. Like, will I understand it 6 months after I wrote it. And do the stack traces point to exactly what went wrong. I generally find any framework that's easy to get started is harder to maintain.
Nice, I'll have to try it out - Swagger UI has always been a pain with various add-ons in Flask, and it looks like it's built-in and easy with FastAPI.
Flask is still my go-to Python web framework. Ten years on, and I haven't stopped loving how small, elegant, and flexible it is. It set the bar for many other similar projects.
I've been working on an async project for a while using Sanic, and it's just crazy what a long shadow Flask has cast over the whole Python web framework ecosystem— there's just a default assumption that whatever you're doing, it needs to basically have the interface and ergonomics of Flask.
Both frameworks can coexist in the same codebase if you use the WSGIMiddleware module [0]. It's a bit easier to get it running with Flask than with Django. The issue with Django is getting the static assets to work. The easiest way I've found is to run collectstatic in Django and serve the output folder through FastAPI.
I've moved most of my Flask projects to Express and NodeJS.
Flask was just a PITA to deploy properly in a way that it could handle lots of concurrent connections without a massive memory footprint, and async in Python is a mess.
The JS ecosystem has on the other hand moved to async and Promises as the standand/default way to implement things, which makes things much easier.
Express middleware is also just easier to write than Flask middleware.
I’ve heard this a lot of late, but it’s not clear to me why. Would you be willing to expand on your assertion?
Personally, I’ve written a fair chunk of typescript and asyncio based Python over the year for a project and in general I think Python has done an excellent job of their implementation.
Some things are annoying; for example I’ve a consistent case, which I haven’t pared down to better understand, where by exceptions in a coro are never visible. Not to be confused with the classic case of being notified of the exception when your process shuts down.
OTOH some things are really amazing, for example PYTHONASYNCIODEBUG=1. More so the ability to wrap non async, typically blocking, code in an Executor and it “magically” (via thread pools) work in the event loop has also been a boon for the type of work I’m engaged in.
Waaaaay back, I was really hurt by twisted and to a lesser extent tornado. But the async stuff shipped in 3.9x seems completely comparable to JavaScript imho.
You looked into using gevent workers? Sometimes you need to make tweaks to C-based dependencies to make them not block the event loop, but it should work fine for doing a lot of concurrency without a bunch of rewriting. Usually your bottleneck is your database anyway.
If you like Express and writing middleware in Express, you will love Koa. Its written by the same team that wrote Express so it will be familiar. It makes more use of async/await than Express too.
> Flask was just a PITA to deploy properly in a way that it could handle lots of concurrent connections without a massive memory footprint, and async in Python is a mess.
That makes me concerned. Does anyone here know if FastAPI is better? How many concurrent connections could your Express app handle at once?
Yes. Night and day. I haven't got too deep into it, but FastApi allows writing async def right out of the box, super easy to set up. Uvicorn is stupid fast and easily configurable. There is also fledgeling asgi (async wsgi) support iirc.