STstefanka·Feb 28, 2023
Together with rust-numpy, it is a great way of writing numeric code (using the ndarray library)
https://github.com/PyO3/rust-numpy
In How to write Python extensions in Rust with PyO3PyO3
rust-numpy
Rust2021–2023
PyO3 / rust-numpy
rust-numpy
PyO3-based Rust bindings of the NumPy C-API
4Distinct people
5Mentions
0Explicit recommenders
1.4KGitHub stars
What to know before exploring
What it is
PyO3-based Rust bindings of the NumPy C-API
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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Also in these discussions
- pyo3/maturin · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
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Mentions over time
HN mentions by month5 dated mentions
Observed mentions: 2021-01-29 17:31:35 UTC to 2023-02-28 15:03:50 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Jan 2021 | 2021-01-01 00:00:00 UTC | 2021-02-01 00:00:00 UTC | 1 | 0 | 1 |
| Feb 2021 | 2021-02-01 00:00:00 UTC | 2021-03-01 00:00:00 UTC | 0 | 0 | 0 |
| Mar 2021 | 2021-03-01 00:00:00 UTC | 2021-04-01 00:00:00 UTC | 0 | 0 | 0 |
| Apr 2021 | 2021-04-01 00:00:00 UTC | 2021-05-01 00:00:00 UTC | 1 | 0 | 1 |
| May 2021 | 2021-05-01 00:00:00 UTC | 2021-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 2021 | 2021-06-01 00:00:00 UTC | 2021-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2021 | 2021-07-01 00:00:00 UTC | 2021-08-01 00:00:00 UTC | 0 | 0 | 0 |
| Aug 2021 | 2021-08-01 00:00:00 UTC | 2021-09-01 00:00:00 UTC | 0 | 0 | 0 |
| Sep 2021 | 2021-09-01 00:00:00 UTC | 2021-10-01 00:00:00 UTC | 0 | 0 | 0 |
| Oct 2021 | 2021-10-01 00:00:00 UTC | 2021-11-01 00:00:00 UTC | 0 | 0 | 0 |
| Nov 2021 | 2021-11-01 00:00:00 UTC | 2021-12-01 00:00:00 UTC | 0 | 0 | 0 |
| Dec 2021 | 2021-12-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 0 | 0 | 0 |
| Jan 2022 | 2022-01-01 00:00:00 UTC | 2022-02-01 00:00:00 UTC | 0 | 0 | 0 |
| Feb 2022 | 2022-02-01 00:00:00 UTC | 2022-03-01 00:00:00 UTC | 0 | 0 | 0 |
| Mar 2022 | 2022-03-01 00:00:00 UTC | 2022-04-01 00:00:00 UTC | 0 | 0 | 0 |
| Apr 2022 | 2022-04-01 00:00:00 UTC | 2022-05-01 00:00:00 UTC | 0 | 0 | 0 |
| May 2022 | 2022-05-01 00:00:00 UTC | 2022-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 2022 | 2022-06-01 00:00:00 UTC | 2022-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2022 | 2022-07-01 00:00:00 UTC | 2022-08-01 00:00:00 UTC | 0 | 0 | 0 |
| Aug 2022 | 2022-08-01 00:00:00 UTC | 2022-09-01 00:00:00 UTC | 0 | 0 | 0 |
| Sep 2022 | 2022-09-01 00:00:00 UTC | 2022-10-01 00:00:00 UTC | 0 | 0 | 0 |
| Oct 2022 | 2022-10-01 00:00:00 UTC | 2022-11-01 00:00:00 UTC | 0 | 0 | 0 |
| Nov 2022 | 2022-11-01 00:00:00 UTC | 2022-12-01 00:00:00 UTC | 1 | 0 | 1 |
| Dec 2022 | 2022-12-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 1 | 0 | 1 |
| Jan 2023 | 2023-01-01 00:00:00 UTC | 2023-02-01 00:00:00 UTC | 0 | 0 | 0 |
| Feb 2023 | 2023-02-01 00:00:00 UTC | 2023-03-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
5 sourcesOn the contrary, it can use and interface with numpy quite easily: https://github.com/PyO3/rust-numpy
In Numba: A High Performance Python CompilerThere's an entire ecosystem built up to support this. PyO3 [1] connects Rust to Python, Maturin [2] is a build tool to package Python wheels easily, with a host of popular examples using Maturn + PyO3 [3]. There's even extensions to bind easily to numpy and asyncio [4][5].
[1]: https://github.com/PyO3/pyo3
[2]: https://github.com/PyO3/maturin
[3]: https://github.com/PyO3/maturin#examples
[4]: https://github.com/PyO3/rust-numpy
[5]: https://github.com/awestlake87/pyo3-asyncio
In Carefully exploring Rust as a Python developerGiven that it's via pyO3, you could even pass the numpy arrays using https://github.com/PyO3/rust-numpy and get ndarrays at the other side.
Same no copy, slightly more user friendly approach.
Further criticism of the actual approach - even if we didn't do zero copy, there's no preallocation for the vector despite the size being known upfront, and nested vectors are very slow by default.
So you could speed up the entire thing by passing it to ndarray, and then running a single call to sum over the 2D array you'd find at the other end. (https://docs.rs/ndarray/0.15.1/ndarray/struct.ArrayBase.html...)
In Test for lists in CythonBetween 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 st
Read the rest
ructure, 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.
[0] https://github.com/PyO3/setuptools-rust
[1] https://github.com/PyO3/maturin
[2] https://github.com/PyO3/rust-numpy
[3] https://github.com/rayon-rs/rayon
[4] https://github.com/pierogis/pierogis