rust-numpy
RustPython
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rust-numpy | RustPython | |
---|---|---|
10 | 94 | |
988 | 17,393 | |
3.8% | 7.1% | |
6.7 | 9.6 | |
6 days ago | 7 days ago | |
Rust | Rust | |
BSD 2-clause "Simplified" License | MIT 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.
rust-numpy
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Numba: A High Performance Python Compiler
On the contrary, it can use and interface with numpy quite easily: https://github.com/PyO3/rust-numpy
- Carefully exploring Rust as a Python developer
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Hmm
Once I figured out the right tools, it was easy. Its just "maturin new". It automatically converts python floats and strings. Numpy arrays come through as a special Pyarray type, that you need to unwrap, but that's just one builtin function. Using pyo3, maturin and numpy, https://github.com/PyO3/rust-numpy it's fairly easy.
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Man, I love this language.
If I'm understanding this documentation correctly then you may be able to pass the numpy array directly with func(df['col'].to_numpy) which may save some conversion.
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[D] Is Rust stable/mature enough to be used for production ML? Is making Rust-based python wrappers a good choice for performance heavy uses and internal ML dependencies in 2021?
Otherwise, though, Rust is an excellent choice. The many advantages of Rust (great package manager, memory safety, modern language features, ...) are already well documented so I won't repeat them here. Specifically for writing Python libraries, check out PyO3, maturin, and rust-numpy, which allow for seamless integration with the Python scientific computing ecosystem. Dockerizing/packaging is a non-issue, with the aforementioned libraries you can easily publish Rust libraries as pip packages or compile them from source as part of your docker build. We have several successful production deployments of Rust code at OpenAI, and I have personally found it to be a joy to work with.
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Writing Rust libraries for the Python scientific computing ecosystem
Integration with numpy uses the rust-numpy crate: Example of method that accepts numpy arrays as arguments Example of a method that returns a numpy array to Python (this performs a copy, there ought to be a way to avoid it but the current implementation has been plenty fast for my use case so far)
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Feasibility of Using a Python Image Super Resolution Library in My Rust App
This example maybe helpful.
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Julia is the better language for extending Python
Given 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...)
- PyO3: Rust Bindings for the Python Interpreter
RustPython
- FLaNK Stack Weekly 12 February 2024
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RustPython
Contribution graph seems pretty good https://github.com/RustPython/RustPython/graphs/contributors
No.
…and this one is no exception -> https://github.com/RustPython/RustPython/issues/1940
Packages that rely on c dependencies like numpy, etc. only work if you write a custom implementation by hand; the “normal” package flat out doesn’t (and cannot) work.
I first read about RustPython today and found this discussion that seems very interesting and still pertinent to the topic. Here's my take on it:
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Rewrite Sympy in rust
If you absolutely need something comparable to Sympy, then one option might be to figure out how to best call Sympy from Rust. e.g. - RustPython, although it seems like Sympy isn't supported yet - Pyodide, and figuring out how to run it outside of a web browser. Probably also not very easy. - PyPy, and having a pretty simple Python binary for every platform - ...
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Our Plan for Python 3.13
I'm actually rooting for RustPython to reach a level of maturity that we'd just be able to ship apis and stuff with it.... https://github.com/RustPython/RustPython
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Python 11
Good question and it also actual for: python 3.12, RustPython and xonsh binary.
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This Week In Python
RustPython – A Python Interpreter written in Rust
What are some alternatives?
CPython - The Python programming language
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
tauri - Build smaller, faster, and more secure desktop applications with a web frontend.
julia - The Julia Programming Language
PyO3 - Rust bindings for the Python interpreter
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
rayon - Rayon: A data parallelism library for Rust
Rhai - Rhai - An embedded scripting language for Rust.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
helix - A post-modern modal text editor.
Cython - The most widely used Python to C compiler