dtparse
pythran
| dtparse | pythran | |
|---|---|---|
| 1 | 7 | |
| 73 | 1,965 | |
| - | - | |
| 0.0 | 8.1 | |
| 8 months ago | 6 days ago | |
| Python | C++ | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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.
dtparse
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PyO3: Rust Bindings for the Python Interpreter
ciso8601 is blazingly fast, and also its wall time is very stable. By all means, use ciso8601 if the format allows :)
On my machine, ciso8601 always runs in 240ns, and the Rust lib median time is 1250ns.
You can run a benchcmark too! Just call pytest, and it will generate an .svg report: https://github.com/gukoff/dtparse/blob/master/tests/test_per...
pythran
- Codon: Python Compiler
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How Python virtual environments work
Numpy and Scipy are good reasons. Unfortunately Scipy does not even compile on FreeBSD lately, and I have opened three issues about it against Scipy and Pythran (and the fix was with xsimd).
https://github.com/serge-sans-paille/pythran/issues/2070
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S6: A standalone JIT compiler library for CPython
In someone lands here seeking a maintained compiler for Python, there's a lot, on top of my head:
- Pythran (https://pythran.readthedocs.io) (ahead of time compiler)
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Accelerate Python code 100x by import taichi as ti
Yes, I mean Pythran ( https://github.com/serge-sans-paille/pythran ). Thank you.
Was Nuitka better? Pythran is quite simple to install and use in Jupyter.
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Omyyyy/pycom: A Python compiler, down to native code, using C++
The only project that compares 1:1 is Pythran: https://github.com/serge-sans-paille/pythran
Pythran is fairly nice, and it really does work. I tried it last year and it compiles down to modifiable templated C++. I was able to use it to build Python for a highly specialized environment.
All the others compile down to dynamically linked binaries, and that just puts them in the "other" box.
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OpenAI Codex Python to C++ Code Generator
You might want to contact the author of Pythran [1], maybe something can be learned from what they do.
[1] https://github.com/serge-sans-paille/pythran/commits/master
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PyO3: Rust Bindings for the Python Interpreter
[1] https://github.com/serge-sans-paille/pythran
What are some alternatives?
tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
PyO3 - Rust bindings for the Python interpreter
setuptools-rust - Setuptools plugin for Rust support
RustPython - A Python Interpreter written in Rust
CheeseShop - Examples of using PyO3 Rust bindings for Python with little to no silliness.
codex_py2cpp - Converts python code into c++ by using OpenAI CODEX.
shedskin - Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.
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.