rust-ndarray VS utah

Compare rust-ndarray vs utah and see what are their differences.


ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations (by rust-ndarray)


Dataframe structure and operations in Rust (by kernelmachine)
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rust-ndarray utah
19 0
2,814 138
2.2% -
6.7 0.0
8 days ago almost 5 years ago
Rust Rust
Apache License 2.0 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.


Posts with mentions or reviews of rust-ndarray. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-21.
  • faer 0.8.0 release
    6 projects | /r/rust | 21 Apr 2023
    Sadly Ndarray does look a little abandoned to me:
  • Status and Future of ndarray?
    2 projects | /r/rust | 3 Apr 2023
    The date of the last commit of [ndarray]( lies 6 month in the past while many recent issues are open and untouched.
  • Announcing Burn: New Deep Learning framework with CPU & GPU support using the newly stabilized GAT feature
    7 projects | /r/rust | 6 Nov 2022
    Burn is different: it is built around the Backend trait which encapsulates tensor primitives. Even the reverse mode automatic differentiation is just a backend that wraps another one using the decorator pattern. The goal is to make it very easy to create optimized backends and support different devices and use cases. For now, there are only 3 backends: NdArray ( for a pure rust solution, Tch ( for an easy access to CUDA and cuDNN optimized operations and the ADBackendDecorator making any backend differentiable. I am now refactoring the internal backend API to make it as easy as possible to plug in new ones.
  • Pure rust implementation for deep learning models
    3 projects | /r/rust | 9 Oct 2022
    Looks like it's an open request
  • The Illustrated Stable Diffusion
    3 projects | | 4 Oct 2022

    Answer: you can’t with this crate. I implemented a dynamic n-dim solution myself but it uses views of integer indices that get copied to a new array, which have indexes to another flattened array in order to avoid duplication of possibly massive amounts of n-dimensional data; using the crate alone, copying all the array data would be unavoidable.

    Ultimately I’ve had to make my own axis shifting and windowing mechanisms. But the crate is still a useful lib and continuing effort.

    While I don’t mind getting into the weeds, these kinds of side efforts can really impact context focus so it’s just something to be aware of.

  • Any efficient way of splitting vector?
    2 projects | /r/rust | 12 Sep 2022
    In principle you're trying to convert between columnar and row-based data layouts, something that happens fairly often in data science. I bet there's some hyper-efficient SIMD magic that could be invoked for these slicing operations (and maybe the iterator solution does exactly that). Might be worth taking a look at how the relevant Rust libraries like ndarray do it.
  • Rust or C/C++ to learn as a secondary language?
    6 projects | /r/Python | 9 Feb 2022
    ndarray and numpy crates provide good way to operate on numpy ndarrays from python
  • Enzyme: Towards state-of-the-art AutoDiff in Rust
    3 projects | /r/rust | 12 Dec 2021
    I don't think any of the major ML projects have GPU acceleration because ndarray doesn't support it.
  • Announcing Rust CUDA 0.2
    3 projects | /r/rust | 5 Dec 2021
    Not sure about ndarray:
  • Signal processing library
    7 projects | /r/rust | 6 Nov 2021
    I used basic_dsp a while back and found it lacking. I was hoping to find something that uses the ndarray datatype but i'm not seeing this yet. If you're primarily trying to learn though it might not really matter which library you contribute to. As for myself, I just picked the one that was most used and actively worked on at the time. However I keep an eye out on other libraries; if I see something take off, I might switch over. Either way you'll learn and can point to it as work accomplished.


Posts with mentions or reviews of utah. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning utah yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing rust-ndarray and utah you can also consider the following projects:

nalgebra - Linear algebra library for Rust.

Rust-CUDA - Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

image - Encoding and decoding images in Rust

neuronika - Tensors and dynamic neural networks in pure Rust.

linfa - A Rust machine learning framework.

dasp - The fundamentals for Digital Audio Signal Processing. Formerly `sample`.

nshare - Provides an interface layer to convert between n-dimensional types in different Rust crates

PySCIPOpt - Python interface for the SCIP Optimization Suite

fundsp - Library for audio processing and synthesis

traceroute - Rust traceroute

mypyc - Compile type annotated Python to fast C extensions

rust-dsp - A library for sound Digital Signal Processing, written in Rust