Comment by mattip
15 days ago
PyPy core dev here. If anyone is interested in helping out, either financially or with coding, we can be reached various ways. See https://pypy.org/contact.html
15 days ago
PyPy core dev here. If anyone is interested in helping out, either financially or with coding, we can be reached various ways. See https://pypy.org/contact.html
The website should have a prominent Donate section, maybe have some tiers of donation like the Ladybird browser does.
I wanted to put a little £ towards the project but couldn't see a place to do it.
I don’t disagree about prominence but to share the links under the about section for people here
https://pypy.org/howtohelp.html
https://opencollective.com/pypy
Thanks, I should add PyPy to the list of projects I send a little to ... PyPy should be better supported by organisations + not need individual contributions, but things are where they are I guess.
Thanks for sharing this. I just donated. Been using them for many many years.
Donated. Thank you and everyone else on the PyPy team.
I use PyPy regularly on an app of mine, and very often when I need to do some compute heavy load. Typically over 5x faster than CPython. It makes some stuff that takes impossibly long with CPython (nobody wants to wait 5 minutes...), to returning a response in a few seconds.
Another suggestion to add for you all (IDK how helpful.) When I see PyPy I see that its speed is faster for CPU-bound work but I'm thinking there is also I/O bound work that would see significant increases in the load they can handle. You could host a page that benchmarks common tasks like HTTP req/s (different types) with asyncio vs CPython. Could even have an automated tool that allows projects to benchmark performance from a web-page using PyPi without having to install or measure anything.
Benchmarks are tricky. Do you have a specific use case you want sped up?
I have to say the speed comparison on the front page seems hard to read / backwards
I feel like you should either put absolute numbers side by side or how much faster pypy is (instead of how much time it takes)
It would also be nice to see benchmarks of how much faster PyPy is getting each version. I know there is a tracking page but it tracks dozens of tests and has no absolute reference summary by version.
An easy chart to show v3.x is 10% faster than the last version would be great.
You really need free claude or gpt subscriptions for this maintainance updates. They published OSS support recently. Ask them.
Though they use an inflated star ranking system, which doesn't reflect reality.
Also big notice that it is unmaintained
And that the corporations using their work should donate if they actually want it maintained.
Donating is for individuals. If a corporation wants something done, they can hire or contract someone to do that thing.