codon
cinder
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| codon | cinder | |
|---|---|---|
| 34 | 43 | |
| 13,819 | 3,375 | |
| 1.0% | 0.8% | |
| 7.9 | 9.4 | |
| 20 days ago | about 10 hours ago | |
| C++ | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
codon
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Should I Open Source my Company?
https://github.com/exaloop/codon/blob/develop/LICENSE
Here are some others: https://github.com/search?q=%22Business+Source+License%22+%2...
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Python running on the Dart VM?
I found at least one project that managed to compile python AOT to LLVM https://github.com/exaloop/codon. Even if LLVM is more expressive than Dart Kernel, that should at least be some evidence that this might not be too impractical.
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Codon: Python Compiler
Their fannkuch benchmark seems to be a bit dishonest. They claim an enormous perf delta on https://exaloop.io/benchmarks.html but fannkuch uses factorial a lot and they define factorial with a very small (n=20) table: https://github.com/exaloop/codon/blob/fb461371613049539654c1...
Disclaimer: I've worked on several Python runtimes and compilers, but I'm not by any means out to get Codon. Just happened across this by accident while looking at their inline LLVM, which is neat.
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The father of Swift made another baby: Mojo: looks to be based on Python using MLIR
If you literally want Python, but compiled ... Look at Codon: https://github.com/exaloop/codon
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Mojo – a new programming language for all AI developers
Another "Python with high-performance compiled builds" would be https://github.com/exaloop/codon.
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MIT Turbocharges Python’s Notoriously Slow Compiler
This is the project being discussed: https://github.com/exaloop/codon
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Is there a way to use turn a project into a single executable file that doesn't require anyone to do anything like install Python before using it?
Try Codon? https://github.com/exaloop/codon
- Since when did Python haters spread out everywhere? Maybe DNF5 would be faster because of ditched it, maybe.
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Budget HomeLab converted to endless money-pit
https://github.com/exaloop/codon might save you from the rewrite.
- What are your thoughts on Codon compiler having a paid licence?
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?
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.
faster-cpython - How to make CPython faster.
Numba - NumPy aware dynamic Python compiler using LLVM
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
Cython - The most widely used Python to C compiler
Pyjion
taichi - Productive, portable, and performant GPU programming in Python.
graalpython - A Python 3 implementation built on GraalVM
julia - The Julia Programming Language
MonkeyType - A Python library that generates static type annotations by collecting runtime types
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
hpy - HPy: a better API for Python