fullstaq-ruby-server-edition
cinder
| fullstaq-ruby-server-edition | cinder | |
|---|---|---|
| 1 | 43 | |
| 537 | 3,375 | |
| - | 0.5% | |
| 6.8 | 9.4 | |
| almost 2 years ago | 7 days ago | |
| Shell | Python | |
| MIT License | GNU General Public License v3.0 or later |
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fullstaq-ruby-server-edition
cinder
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Meta Used Monolithic Architecture to Ship Threads in Only Five Months
Meta is actually contributing directly to upstream cpython. If you really wanted to, the internal fork is also open source: https://github.com/facebookincubator/cinder
- Meta pledges Three-Year sponsorship for Python if GIL removal is accepted
- Back end of Meta Threads is built with Python 3.10 with some interesting tweaks
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Lessons from Mojo for PHP 10+ ?
Just one example: last year Meta open-sourced Cinder, which powers Instagram and provides sizeable speedups compared to CPython.
- Python true static typing
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Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?
I used to work on the Cinder JIT and can help document any passes you find interesting or confusing.
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Python-based compiler achieves orders-of-magnitude speedups
You might enjoy Cinder then. It's based on CPython so it is nearly 100% compatible.
https://github.com/facebookincubator/cinder/
Disclaimer: I used to work on it.
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beartype: It has documentation now. It only took two years, my last hair follicle, precious sanity points (SPs), and working with Sphinx. Don't be like @leycec. Go hard on documentation early.
I think Cinder's Static Python, which also performs runtime type checking, is more ambitious. Though it's not production ready yet.
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If there’s gonna be a Python 4.0 one day, what’s a breaking change you’d like to see? Let’s explore the ideas you have that can make Python even better!
Here's a fork that implements that https://github.com/facebookincubator/cinder - it might be nice to one day get that up streamed but obviously it'll be controversial and it certainly needs more time to bake. Hopefully at some point we can make it a pip installable extension though.
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Is it time for Python to have a statically-typed, compiled, fast superset?
The other thing that was interesting to me, was the potential of type annotations to help make for a faster, safer experience on the compiler end of things. One example is seen in Meta’s Cinder project, on the docs it explains how typing can be used to reduce the number of steps for the compiler ([cinder/static_python.rst at cinder/3.8 · facebookincubator/cinder · GitHub](https://github.com/facebookincubator/cinder/blob/cinder/3.8/CinderDoc/static_python.rst)), making it more effective.
What are some alternatives?
chruby - Changes the current Ruby
faster-cpython - How to make CPython faster.
server-edition - A server-optimized Ruby distribution: less memory, faster, easy to install and security-patch via APT/YUM
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
rbenv - Manage your app's Ruby environment
Pyjion
ruby-build - A tool to download, compile, and install Ruby on Unix-like systems.
graalpython - A Python 3 implementation built on GraalVM
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
MonkeyType - A Python library that generates static type annotations by collecting runtime types
hpy - HPy: a better API for Python
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.