gnet
socketify.py
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gnet | socketify.py | |
---|---|---|
6 | 38 | |
8,788 | 1,264 | |
- | - | |
7.8 | 7.7 | |
2 days ago | 2 months ago | |
Go | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gnet
- Gnet is the fastest networking framework in Go
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Handling TCP connections at scale - Ideas/Suggestions
Exciting question. Many goroutines consume resources accordingly and could also generate latency due to this. If you work under Linux: Have you looked at epoll? Since the system has to do basic connection handling anyway, you can shift or save at least part of the task. gnet is a very good library here to handle epoll & co. Maybe it makes sense to have a look at it or directly use epoll under go.
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Show HN: Go-Nbd – A Pure Go NBD Server and Client
Since this heavily involves networking, take a look into using gnet [0]. You might find some interesting performance improvements by using that over just net.Conn.
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Millions of Active WebSockets with Node.js
Node is a joke. It's not good for this.
Check out https://github.com/panjf2000/gnet, it also has some links at the end.
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Show HN: Python framework is faster than Golang Fiber
Since we're in the useless benchmark, this Go native library completely wreck any C/C++ lib wrapped by Python: https://github.com/panjf2000/gnet
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Goroutines Are Not Significantly Lighter Than Threads
Go does not forces you to do any of that: https://github.com/panjf2000/gnet
socketify.py
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try BlackSheep | Kore | socketify | baize
- With this, you can outperform Golang Fiber with Python
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Show HN: Python framework is faster than Golang Fiber
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 ...
- Adding better DX to the fastest Python WebFramework
- Adding better DX to my package
- This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
What are some alternatives?
fasthttp - Fast HTTP package for Go. Tuned for high performance. Zero memory allocations in hot paths. Up to 10x faster than net/http
bun - Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
netpoll - A high-performance non-blocking I/O networking framework focusing on RPC scenarios.
BlackSheep - Fast ASGI web framework for Python
gev - 🚀Gev is a lightweight, fast non-blocking TCP network library / websocket server based on Reactor mode. Support custom protocols to quickly and easily build high-performance servers.
Robyn - Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
evio - Fast event-loop networking for Go
japronto - Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
gaio - High performance async-io(proactor) networking for Golang。golangのための高性能非同期io(proactor)ネットワーキング
µWebSockets - Simple, secure & standards compliant web server for the most demanding of applications
nbio - Pure Go 1000k+ connections solution, support tls/http1.x/websocket and basically compatible with net/http, with high-performance and low memory cost, non-blocking, event-driven, easy-to-use.
pulsar-recipes - A StreamNative library containing a collection of recipes that are implemented on top of the Pulsar client to provide higher-level functionality closer to the application domain.