setuptools-rust
pybind11
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setuptools-rust | pybind11 | |
---|---|---|
5 | 42 | |
555 | 14,626 | |
2.7% | 1.8% | |
8.7 | 8.7 | |
22 days ago | 7 days ago | |
Python | C++ | |
MIT License | 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.
setuptools-rust
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How do i go about building a vidoe conferencing app?
For Python specifically, In addition to using rust-cpython or PyO3, maturin makes it really comfortable to build, package, and publish Rust code into Python packages and, if your niche doesn't quite fit, there's setuptools-python which might do it.
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Python extensions in Rust
Aside from the PyO3 and rust-cpython crates already mentioned, I'd suggest maturin as a way to integrate your build processes or possibly setuptools-rust.
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Good use cases for Rust? I'm trying to find a reason to use Rust
Compiled modules for Python stuff (I'd recommend PyO3 but the last one I started was before that worked on stable Rust, so I used its progenitor, rust-cpython. See also maturin or setuptools-rust).
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Can someone help me understand PyO3? I'm not sure how it works.
...but you will need to rename the generated library to match import conventions. setuptools-rust or Maturin can help with that.
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PyO3: Rust Bindings for the Python Interpreter
Between pyodide, pyo3, rust-cpython, and rustpython, I think Pyo3 is the best way to drop in rust in a python project for a speed up, if that is your goal. Some of the demos show using python from rust, but to me the biggest feature is without a doubt compiling rust code to native python modules. I'm using it to speed up image manipulation backed by numpy arrays.
There’s a setuptools rust [0] extension package that can be used to hook the compilation of the rust into the wheel building or install from source. Maturin [1] seems to be regarded as the new and improved solution for this, but I found that it’s angled toward the using python from rust.
There’s also the rust numpy [2] package by the same org which is fantastic in that it lets you pass a numpy matrix to a native method written in rust and convert it to the rust equivalent data structure, perform whatever transformation you want (in parallel using rayon [3]), and return the array. When building for release, I was seeing speed ups of 100x over numpy on the most matrix mathable function imaginable, and numpy is no joke.
I think there is a lot of potential for these two ecosystems together. If there’s not a python package for something, there’s probably a rust crate.
If anyone is interested the python package that I'm building with some rust backend, its called pyrogis [4] for making custom image manipulations through numpy arrays.
pybind11
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Experience using crow as web server
I'm investigating using C++ to build a REST server, and would love to know of people's experiences with Crow-- or whether they would recommend something else as a "medium-level" abstraction C++ web server. As background, I started off experimenting with Python/FastAPI, which is great, but there is too much friction to translate from pybind11-exported C++ objects to the format that FastAPI expects, and, of course, there are inherent performance limitations using Python, which could impact scaling up if the project were to be successful.
- Swig – Connect C/C++ programs with high-level programming languages
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I created smooth_lines python module, great for drawing software
This is based on the Google Ink Stroke Modeler C++ library, and using pybind11 to make it available on python.
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Using pybind11 with minGW to cross compile pyhton module for Windows
I have a python module for which the logic is written in C++ and I use pybind11 to expose the objects and functions to Python.
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IPC communication between rust, c++, and python
Reading from Python requires a wrapper, using pybind11 this is fairly done.
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Is Pycharm an okay IDE to use?
That said, if you need to write a Python module in a compiled language, it's much easier and more fun these days to write in C++. pybind11 is extremely mature and even fun system to write Python objects in C++.
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Roast my resume
There will be specific technologies you used in your data pipelining: Parquet? Did you use Pandas to manipulate your data? Did you optimise some aspects with C++? If so did you use PyBind11 to integrate it?
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Pybind11 error | Compatibility and/or Linker issue | Mac M1 (But running X86_64 using Rosetta 2)
git clone https://github.com/pybind/pybind11.git
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How to make C++ communicate with Python?
I would say that pybind11 is precisely what you want here. If you don’t want to write the bindings yourself, you could try Tolc.
Pybind11 https://github.com/pybind/pybind11 is an easy way to expose c++ functions in python.
What are some alternatives?
PyO3 - Rust bindings for the Python interpreter
nanobind - nanobind: tiny and efficient C++/Python bindings
Optional Argument in C++ - Named Optional Arguments in C++17
maturin - Build and publish crates with pyo3, rust-cpython and cffi bindings as well as rust binaries as python packages
PEGTL - Parsing Expression Grammar Template Library
sol2 - Sol3 (sol2 v3.0) - a C++ <-> Lua API wrapper with advanced features and top notch performance - is here, and it's great! Documentation:
sparsehash - C++ associative containers
py2many - Transpiler of Python to many other languages
dynamic_bitset - Simple Useful Libraries: C++17/20 header-only dynamic bitset
wasmtime - A fast and secure runtime for WebAssembly
cpp-subprocess - Subprocessing with modern C++
LSHBOX - A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.