Codon: A high-performance Python compiler

1. codon

   1 39 15,285 6.9 C++

   A high-performance, zero-overhead, extensible Python compiler using LLVM

   

   We do have a benchmark suite at https://github.com/exaloop/codon/tree/develop/bench and results on a couple different architectures at https://exaloop.io/benchmarks

2. SaaSHub

   www.saashub.com featured

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

3. mypyc

   2 28 1,776 0.0

   Compile type annotated Python to fast C extensions

   

   > Note that the mypyc issue tracker lives in this repository! Please don't file mypyc issues in the mypy issue tracker.

   See https://github.com/mypyc/mypyc/blob/master/show_me_the_code....

4. ideas

   3 85 1,705 5.7

   

   I got a massive jump in performance when moving from Python 3.8 to 3.10 (over some function call optimizations I think, based on the project). And 3.11 got even better (up to 50% faster on special cases, and 10~15% on average) with respect to 3.10. Python 3.12 is already getting even more speedups and a there's a lot more down the road[0].

   But Python core developers value keeping "not breaking anyones code" (Python 3 itself was a huge trip on that aspect and they're not making that mistake again), that's why things may seem slow on their end. But work is being done, and the results are there if you benchmark things.

   [0] See https://github.com/faster-cpython/ideas/blob/main/FasterCPyt... however that's over a year old already and I'm sure I've read/heard more specifics

5. topaz

   4 2 1,004 0.0 Python

   A high performance ruby, written in RPython

   

   It's not like you can just "merge" pypy into python, they are totally different implementations. CPython is written in C and PyPy is written in RPython which is a subset of the python language that gets compiled, into into an interpreter with JIT support. You can actually write an interpreter for any language using RPython and their toolset, for example Ruby https://github.com/topazproject/topaz

6. Cython

   5 80 9,701 9.8 Python

   The most widely used Python to C compiler

   

   How does this relate to

   https://cython.org/

   ?

   Would it be possible to write performance-sensitive parts of a Python system in Codon and link that to a CPython or PyPy runtime that supports more dynamic features?

7. Coconut

   6 29 4,124 8.3 Python

   Simple, elegant, Pythonic functional programming.

   

8. py2many

   7 32 848 9.3 Python

   Transpiler of Python to many other languages

   

   For py2many, there is an informal specification here:

   https://github.com/py2many/py2many/blob/main/doc/langspec.md

   Would be great if all the authors of "python-like" languages get together and come up with a couple of specs.

   I say a couple, because there are ones that support the python runtime (such as cython) and the ones which don't (like py2many).

9. Redis

   8 358 67,712 9.6 C

   Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

   

   > Even Redis had to pivot to a business license.

   Wrong, Redis has a BSD-3 license: https://github.com/redis/redis

   Add-ons to Redis may have non-free licenses.

10. hpy

    9 24 1,100 7.9 Python

    HPy: a better API for Python

    

    The HPy project [0] seems like a promising way out of this.

    [0] https://hpyproject.org/

11. taichi

    10 39 26,590 7.3 C++

    Productive, portable, and performant GPU programming in Python.

    

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