rust-numpy VS CheeseShop

Compare rust-numpy vs CheeseShop and see what are their differences.

rust-numpy

PyO3-based Rust bindings of the NumPy C-API (by PyO3)

CheeseShop

Examples of using PyO3 Rust bindings for Python with little to no silliness. (by aeshirey)
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rust-numpy CheeseShop
10 2
988 1
3.8% -
6.7 3.8
6 days ago 6 months ago
Rust Rust
BSD 2-clause "Simplified" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of rust-numpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-27.

CheeseShop

Posts with mentions or reviews of CheeseShop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-11.
  • Apache Spark UDFs in Rust
    2 projects | /r/rust | 11 Jun 2021
    By comparison, PyO3 handles virtually all that boilerplate, so your Rust functions can accept and return many native Rust types and everything just works (for example). Or maybe I'm missing some fundamental difference with how JVM data are handled versus Python.
  • PyO3: Rust Bindings for the Python Interpreter
    18 projects | news.ycombinator.com | 29 Jan 2021
    At work, I'm using PyO3 for a project that churns through a lot of data (step 1) and does some pattern mining (step 2). This is the second generation of the project and is on-demand compared with the large, batch project in Spark that it is replacing. The Rust+Python project has really good performance, and using Rust for the core logic is such a joy compared with Scala or Python that a lot of other pieces are written in.

    Learning PyO3, I cobbled together a sample project[0] to demonstrate how some functionality works. It's a little outdated (uses PyO3 0.11.0 compared with the current 0.13.1) and doesn't show everything, but I think it's reasonably clear.

    One thing I noticed is that passing very large data from Rust and into Python's memory space is a bit of a challenge. I haven't quite grokked who owns what when and how memory gets correctly dropped, but I think the issues I've had are with the amount of RAM used at any moment and not with any memory leaks.

    [0] https://github.com/aeshirey/CheeseShop

What are some alternatives?

When comparing rust-numpy and CheeseShop you can also consider the following projects:

julia - The Julia Programming Language

RustPython - A Python Interpreter written in Rust

polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust

rayon - Rayon: A data parallelism library for Rust

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

PyO3 - Rust bindings for the Python interpreter

maturin - Build and publish crates with pyo3, rust-cpython and cffi bindings as well as rust binaries as python packages

py2many - Transpiler of Python to many other languages

pythran - Ahead of Time compiler for numeric kernels

pybind11 - Seamless operability between C++11 and Python

tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale