cirospaciari

7 ms·

31.
by cirospaciari 4y ago
<3 i will bring it to Ruby and Lua too!
32.
by cirospaciari 4y ago
that would be an JSON benchmark not right? raw throughput is more useful to test WebServers, but JSON performance is also important, but i think is another benchmark. PyPy do very well in JSON too take a look https://www.techempo
33.
by cirospaciari 4y ago
Django is an WebFramework, Meinheld is an WSGI Server framework. https://github.com/django/django https://github.com/mopemope/meinheld So django meinheld is basically saying that i used Django ser
34.
by cirospaciari 4y ago
I see, but like i said any performance focused Python framework are native (C/C++), so i will never be able to compare any Python framework with Golang framework ever.
35.
by cirospaciari 4y ago
asyncio and python async is very slow, that's why i'm planning to build alternatives to it too!
36.
by cirospaciari 4y ago
socketify is based on uWebSockets (C++) uWebSockets is comparad to FastHTTP and socketify adds a lot of features on top. The benchmarks are TechEmPower plaintext https://github.com/TechEmpower/FrameworkBenchmarks preli
37.
by cirospaciari 4y ago
Python framework because is an framework for python, like most performance focused frameworks for python, this uses a lot of native code. uvicorn uses uvloop that is an wrapper for libuv. Web developer dont care if the framework is written
38.
by cirospaciari 4y ago
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&
39.
by cirospaciari 4y ago
You can see the preliminaries results here https://www.techempower.com/benchmarks/#section=test&runid=1...
40.
by cirospaciari 4y ago
uvicorn uses uvloop that is an wrapper to libuv ;) almost any performance focused package use native extensions (CFFI, Cython, HPy, Python CAPI etc)
41.
by cirospaciari 4y ago
uvicorn and fastapi is backed by libuv :) it uses uvloop
42.
by cirospaciari 4y ago
Yeah, I'm converting to HPy and it probably will be faster in CPython too, but like you said AOT is hard to beet without JIT at least. But with CPython is faster than Golang Gin :D
43.
Show HN: Socketify.py: Http/Https and WebSockets servers for PyPy3 and Python3(github.com)
194 points by cirospaciari 4y ago|173 comments
44.
Show HN: Adding better DX to my package(old.reddit.com)
1 points by cirospaciari 4y ago|0 comments
45.
Show HN: I started the development of the fastest ASGI and WSGI Server(old.reddit.com)
1 points by cirospaciari 4y ago|1 comments
46.
by cirospaciari 4y ago
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 serve
47.
by cirospaciari 4y ago
It is a package to work with websockets too! and in future raw sockets, fetch like API, async file IO etc, that is why the name is socketify.py More realistic benchmarks will come soon, keep an watch in the github project ;) P.S. Vibora is
48.
Show HN: Record breaking performance for Python, 6.2 mi req/s in TechEmPower(techempower.com)
16 points by cirospaciari 4y ago|2 comments
49.
Show HN: Realtime Chat with Python and WebSockets(chat.socketify.dev)
2 points by cirospaciari 4y ago|0 comments
50.
by cirospaciari 4y ago
Really cool i also made and CAPI for using WebSocket in C, https://github.com/uNetworking/uWebSockets/tree/master/capi I will take a deep look on your project thanks for sharing!
51.
by cirospaciari 4y ago
It's a really an over simplificated microbenchmark, but shows a big difference between TechEmPower benchmarks using wrk and + 16 pipelining with an lua script, and of course will not hit 1 million req/s on my machine, running tfb
52.
Show HN: This is how i got more performance in WebSockets than Bun using Python(github.com)
1 points by cirospaciari 4y ago|0 comments
53.
by cirospaciari 4y ago
We got about 770k req/s with the current version vs 582k from japronto using TechEmPower plaintext benchmarks and we still can get at least 30% or more performance once fully integrated with libuv + asyncio :D
54.
Show HN: Socketify.py – Maybe the fastest web framework for Python and PyPy(github.com)
1 points by cirospaciari 4y ago|1 comments