interoptopus
Numba
interoptopus | Numba | |
---|---|---|
6 | 124 | |
288 | 9,452 | |
- | 1.1% | |
7.4 | 9.9 | |
26 days ago | 9 days ago | |
Rust | Python | |
- | BSD 3-clause "New" or "Revised" License |
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interoptopus
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Python Developer Seeking Input: Is it Worth Learning Rust for FFI?
You may want to look at Interpotopus.
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Calling native Rust code from PowerShell
I also found interoptopus which looks like it can auto-generate the C# bindings, but idk how well it actually works.
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Interop your .NET application with Rust
Let's first work on the Rust code, what we want to do is to generate a .cs file with all the equivalent bindings and types, doing that by hand is boring and time consuming, luckly there is a library for easily do all the heavy stuff for us called interoptopus.
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Are there any .NET interop crates? I would like to use C# as GUI frontend for editor in my game
I see you've already been introduced to rnet. Another option would be interoptopus.
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How can I utilize rust for .net web applications?
interoptopus (The polyglot bindings generator for your library.)
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CGlue 0.2 is out! Dynamically loadable traits in Rust, C and C++
I recently found a project that does C# and Python bindings very well, it might be worth checking out for collaboration/inspiration. https://github.com/ralfbiedert/interoptopus
Numba
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Mojo🔥: Head -to-Head with Python and Numba
Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code.
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Is anyone using PyPy for real work?
Simulations are, at least in my experience, numba’s [0] wheelhouse.
[0]: https://numba.pydata.org/
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Any data folks coding C++ and Java? If so, why did you leave Python?
That's very cool. Numba introduces just-in-time compilation to Python via decorators and its sole reason for being is to turn everything it can into abstract syntax trees.
- Using Matplotlib with Numba to accelerate code
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Python Algotrading with Machine Learning
A super-fast backtesting engine built in NumPy and accelerated with Numba.
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PYTHON vs OCTAVE for Matlab alternative
Regarding speed, I don't agree this is a good argument against Python. For example, it seems no one here has yet mentioned numba, a Python JIT compiler. With a simple decorator you can compile a function to machine code with speeds on par with C. Numba also allows you to easily write cuda kernels for GPU computation. I've never had to drop down to writing C or C++ to write fast and performant Python code that does computationally demanding tasks thanks to numba.
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Codon: Python Compiler
Just for reference,
* Nuitka[0] "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."
* Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles.
* Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... makes writing C extensions for Python as easy as Python itself."
* Numba[3] "is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code."
* Pyston[4] "is a performance-optimizing JIT for Python, and is drop-in compatible with ... CPython 3.8.12"
[0] https://github.com/Nuitka/Nuitka
[1] https://www.pypy.org/
[2] https://cython.org/
[3] https://numba.pydata.org/
[4] https://github.com/pyston/pyston
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This new programming language has the potential to make python (the dominant language for AI) run 35,000X faster.
For the benefit of future readers: https://numba.pydata.org/
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Two-tier programming language
Taichi (similar to numba) is a python library that allows you to write high speed code within python. So your program consists of slow python that gets interpreted regularly, and fast python (fully type annotated and restricted to a subset of the language) that gets parallellized and jitted for CPU or GPU. And you can mix the two within the same source file.
- Numba Supports Python 3.11
What are some alternatives?
cffi - Safe* C foreign function interface for Rust, using proc macros and marshaling types.
NetworkX - Network Analysis in Python
PyO3 - Rust bindings for the Python interpreter
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
svix-webhooks - The enterprise-ready webhooks service 🦀
Dask - Parallel computing with task scheduling
abi_stable_crates - Rust-to-Rust ffi,ffi-safe equivalents of std types,and creating libraries loaded at startup.
cupy - NumPy & SciPy for GPU
cglue - Rust ABI safe code generator
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
rnet
SymPy - A computer algebra system written in pure Python