socketify.py

When I see that: https://github.com/cirospaciari/socketify.py/blob/main/bench... It's kind of hopeless, Python still needs to fork per core to get any performance? So if you have 8 cores you're actually running 8 processes, so 8 DB pool etc ...

The “src/“ directory[0] contains compiled .so files. Is this even open source? [0] https://github.com/cirospaciari/socketify.py/tree/main/src/s...

I'm reading some arguments and counter-arguments in this thread, and in my opinion it kinda boils down to what point of view you're having. If you look at it as a framework that minimises the networking overhead, then fine, it's an interesting piece of software. If on the other hand you look at it like a "fast" web framework then things start to change and the discussion gets a bit more complicated. So for example, you look at the source code of the applications being benchmarked (example: https://github.com/cirospaciari/socketify.py/blob/main/bench...) and you immediately see it's simply returning the string "hello world"). Which means that it's almost 100% of the time running in the fast path / best case. My guess is that as soon as you start doing any kind of computation in the request handler in normal non-super-optimized python (triv

Yeah i have a lot of things to do, to minimize this types of things. But Caching Tools that never cross GIL will boost a lot of performance in real life scenarios too. See https://github.com/cirospaciari/socketify.py/issues/60 I plan to create an native Redis cache and memcache too.

After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! The focus of socketify is PyPy not because it allows for more CPU-intensive workloads, but because it also allows removing a lot of overhead of CPython itself! The performance targets for ASGI with CPython were the same as uvicorn for ASGI and meinheld for WSGI, and I am happy to say that we got it to be faster in most cases and at least on pair in the worst case! Socketify ASGI 541,645 vs uvicorn 337,265 in CPython every single framework go

socketify.py just break the record for Python and now is the fastest Python framework in TechEmPower, is even faster than Golang Fiber that got 5.9 mi req/s https://github.com/cirospaciari/socketify.py https://www.techempower.com/benchmarks/#section=test&runid=1...

I created an basic example of an basic chat using github auth check it out: https://chat.socketify.dev/ Chat source code: https://github.com/cirospaciari/socketify.py/tree/main/examp... HTML Template credits to: https://www.bootdey.com/snippets/view/white-chat

Bun is changing out the scenario for Node.js, with much more performance in HTTP and WebSockets, but how FAST it is compared with Python? In the Bun website https://bun.sh/, the source code of the WebSocket benchmark is available, so... let's try to run Falcon + uvicorn on it! I just simplified a little the benchmark, to remove a string concatenation, to measure more of the raw throughput with less impact other things, and runned using Falcon + uvicorn and socketify.py, when benchmarking i was talking with Vytautas Liuolia in the Falcon Gitter for tunning HTTP performance in other raw throughtput testing as well, and Falcon is not so much focused on WS performance, this also depends a lot of ASGI server too. For this test i choose uvicorn with gunicorn as ASGI server. Messages per second with Linux x64: https://raw.githubusercontent.com/c

Hi i'm Ciro and I have been integration uWebSockets/uSockets with Python to delivery very fast Http, Http2, Http3 and WebSockets performance. Almost a year now working in my free time, is almost at the point from its first release. Support all major platforms Windows, Linux, macOS x64 & Silicon, and supporting PyPy are major goals. I now writting the documentation, and want some feedback on the project. Thanks!