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Top 11 Rust Scientific Computing Projects
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burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
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rust-ndarray
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
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shadow
Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux. (by shadow)
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smartcore
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
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SaaSHub
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russell
Rust Scientific Libary. ODE and DAE (Runge-Kutta) solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers (MUMPS, UMFPACK). Probability distributions. Tensor calculus.
Project mention: 3 years of fulltime Rust game development, and why we're leaving Rust behind | news.ycombinator.com | 2024-04-26You can use libtorch directly via `tch-rs`, and at present I'm porting over to Burn (see https://burn.dev) which appears incredibly promising. My impression is it's in a good place, if of course not close to the ecosystem of Python/C++. At very least I've gotten my nn models training and running without too much difficulty. (I'm moving to Burn for the thread safety - their `Tensor` impl is `Sync` - libtorch doesn't have such a guarantee.)
Burn has Candle as one of its backends, which I understand is also quite popular.
I would love some examples of how to do non-trivial data interop between Rust and Python. My experience is that PyO3/Maturin is excellent when converting between simple datatypes but conversions get difficult when there are non-standard types, e.g. Python Numpy arrays or Rust ndarrays or whatever other custom thing.
Polars seems to have a good model where it uses the Arrow in memory format, which has implementations in Python and Rust, and makes a lot of the ndarray stuff easier. However, if the Rust libraries are not written with Arrow first, they become quite hard to work with. For example, there are many libraries written with https://github.com/rust-ndarray/ndarray, which is challenging to interop with Numpy.
(I am not an expert at all, please correct me if my characterizations are wrong!)
Project mention: Turmoil, a framework for developing and testing distributed systems | news.ycombinator.com | 2023-08-17Cool, will be interested to see how this develops! tokio's loom framework has been a big help in testing some tricky concurrency code I've worked on.
Folks interested in this space might also be interested in the system I spend most of my time working on: Shadow. It also performs deterministic simulation of a network of hosts, but it intercepts network and system interactions at the syscall level via seccomp. As such it can work with binaries compiled from ~any language, usually without any code modification or special compilation. https://shadow.github.io/
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Rust Scientific Computing related posts
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Burn: Deep Learning Framework built using Rust
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Burn Deep Learning Framework Release 0.12.0 Improved API and PyTorch Integration
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Burn Deep Learning Framework 0.11.0 Released: Just-in-Time Automatic Kernel Fusion & Founding Announcement
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Burn Deep Learning Framework v0.11.0 Released: Just-in-Time Kernel Fusion
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Burn – comprehensive dynamic Deep Learning Framework built using Rust
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Helper crate for working with image data of varying type?
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What is the most efficient way to study Rust for scientific computing applications?
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A note from our sponsor - InfluxDB
www.influxdata.com | 2 Jun 2024
Index
What are some of the best open-source Scientific Computing projects in Rust? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | burn | 7,384 |
| 2 | linfa | 3,468 |
| 3 | rust-ndarray | 3,377 |
| 4 | shadow | 1,360 |
| 5 | ocl | 700 |
| 6 | smartcore | 659 |
| 7 | Peroxide | 459 |
| 8 | rulinalg | 283 |
| 9 | russell | 80 |
| 10 | rebop | 42 |
| 11 | serde-ndim | 6 |
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