Ciro 2022-11-10 12:20:46 -03:00
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@ -55,7 +55,7 @@ Tested with oha -c 40 -z 5s http://localhost:8000/ (1 run for warmup and 3 runs
Source code in [bench](https://github.com/cirospaciari/socketify.py/tree/main/bench)<br/>
Machine OS: Debian GNU/Linux bookworm/sid x86_64 Kernel: 6.0.0-2-amd64 CPU: Intel i7-7700HQ (8) @ 3.800GHz Memory: 32066MiB
> Today socketify have about 30% performance hit due to workarounds between asyncio + libuv, so we will got even faster! See more info in [this issue](https://github.com/cirospaciari/socketify.py/issues/18), in PyPy3 we can get about 186,760 req/s and 77,774 req/s in Python3 without these workarounds and almost double of the scores with PyPy3 in TechEmPower plaintext, Python3 and PyPy3 performance will improve when we migrate to [HPy](https://github.com/cirospaciari/socketify.py/issues/16). In TechEmPower benchmarks we are faster than japronto in plaintext (about 1,300k req/s using PyPy3 without workaround and about 770k req/s with the current state vs 582k from japronto you can follow details in [this discussion](https://github.com/cirospaciari/socketify.py/discussions/10)
> Today socketify have about 30% performance hit due to workarounds between asyncio + libuv, so we will got even faster! See more info in [this issue](https://github.com/cirospaciari/socketify.py/issues/18), Python3 and PyPy3 performance will improve when we migrate to [HPy](https://github.com/cirospaciari/socketify.py/issues/16). In TechEmPower benchmarks we are faster than japronto in plaintext (about 1,300k req/s using PyPy3 without workaround and about 770k req/s with the current state vs 582k from japronto you can follow details in [this discussion](https://github.com/cirospaciari/socketify.py/discussions/10)
## Install
For macOS x64 & Silicon, Linux x64, Windows