pybind11 VS setuptools-rust

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.

Reading from Python requires a wrapper, using pybind11 this is fairly done.

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++.

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?

git clone https://github.com/pybind/pybind11.git

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.

I think they should give up on Flutter for Web and just focus on mobile and desktop (and maybe extend use on Smart Watches, Smart TV, embedded instead). Too many people still remember Java Applets, google's GWT, Flash/Flex and how it ended. They are out of focus trying to support Web as well.

I had also higher expectation regarding Dart FFI - I think with their ffigen we are still only in ctypes like python bindings territory. Nowhere near something like pybind11 [0] for c++ bindings yet.

[0] https://github.com/pybind/pybind11

[1] https://github.com/mozilla/uniffi-rs

And how to do this in the best modern way instead of dealing with Pythons native and annoying 30 year old C API: https://github.com/pybind/pybind11

Some work on the C++ side will be required. There's https://github.com/pybind/pybind11 for example.

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.

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.

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).

...but you will need to rename the generated library to match import conventions. setuptools-rust or Maturin can help with that.

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.

https://github.com/PyO3/setuptools-rust