gevent
stackless
gevent | stackless | |
---|---|---|
5 | 2 | |
6,163 | 997 | |
0.2% | 0.6% | |
8.7 | 0.0 | |
3 months ago | 5 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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gevent
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Is anyone using PyPy for real work?
A sub-question for the folks here: is anyone using the combination of gevent and PyPy for a production application? Or, more generally, other libraries that do deep monkey-patching across the Python standard library?
Things like https://github.com/gevent/gevent/issues/676 and the fix at https://github.com/gevent/gevent/commit/f466ec51ea74755c5bee... indicate to me that there are subtleties on how PyPy's memory management interacts with low-level tweaks like gevent that have relied on often-implicit historical assumptions about memory management timing.
Not sure if this is limited to gevent, either - other libraries like Sentry, NewRelic, and OpenTelemetry also have low-level monkey-patched hooks, and it's unclear whether they're low-level enough that they might run into similar issues.
For a stack without any monkey-patching I'd be overjoyed to use PyPy - but between gevent and these monitoring tools, practically every project needs at least some monkey-patching, and I think that there's a lack of clarity on how battle-tested PyPy is with tools like these.
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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How to Choose the Right Python Concurrency API
I'm not sure how much it replicates the CSP model, but the closest thing I've found to Go-style concurrency in Python is gevent: https://github.com/gevent/gevent
I personally still prefer to use it in all my projects.
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I have a problem with installing Ajenti on a 64bit Ubuntu 21.04 server
Greenlet seems to have some troubles compiling with Python 3.9. https://github.com/gevent/gevent/issues/1627
stackless
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How does Go "know" when a goroutine hits IO and can switch to another goroutine? Why don't other languages like Javascript/Python do this?
For the sake of “well, actually” completionism, this is possible in Python with stackless or the gevent library and some hacks, but when Guido and pals backed the standard awful way of doing async in commercial languages (async/await and colored functions) this practice fell by the wayside.
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How to Choose the Right Python Concurrency API
Is stackless still an alternative? (It used to be quite hot 1.5 decade ago)
https://github.com/stackless-dev/stackless/wiki/
What are some alternatives?
eventlet - Concurrent networking library for Python
one-ring - CSP on top of AsyncIO
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
proxy.py - ⚡ Fast • 🪶 Lightweight • 0️⃣ Dependency • 🔌 Pluggable • 😈 TLS interception • 🔒 DNS-over-HTTPS • 🔥 Poor Man's VPN • ⏪ Reverse & ⏩ Forward • 👮🏿 "Proxy Server" framework • 🌐 "Web Server" framework • ➵ ➶ ➷ ➠ "PubSub" framework • 👷 "Work" acceptor & executor framework
Faust - Python Stream Processing
Thespian Actor Library - Python Actor concurrency library
kombu - Messaging library for Python.
Tomorrow - Magic decorator syntax for asynchronous code in Python
aiochan - CSP-style concurrency for Python
pyeventbus - Python Eventbus
deco
Wallaroo - Distributed Stream Processing