Several crates have populated the scientific computing space, including linear algebra and matrix operations, numerical optimization, and more.
Given the value of iterative analysis in scientific computing, it's worth checking out Evcxr REPL. There is also a Jupyter backend for Rust.
Also, check out some of these resources:
General matrix multiplication for f32 and f64 matrices. Operates on matrices with general layout (they can use arbitrary row and column stride). Detects and uses AVX or SSE2 on x86 platforms transparently for higher performance. Uses a microkernel strategy, so that the implementation is easy to parallelize and optimize. Supports multithreading.
General-purpose linear algebra library with transformations and statically-sized or dynamically-sized matrices.
Geometry primitives
Statistical computing library for Rust
Statistical routines for ArrayBase, the n-dimensional array data structure provided by ndarray.
A sparse matrix library
A linear algebra and mathematics library for computer graphics.
Rust comprehensive scientific computation library contains linear algebra, numerical analysis, statistics and machine learning tools with farmiliar syntax
Numerical optimization in pure Rust
Linear algebra package for rust-ndarray using LAPACK
A bioinformatics library for Rust. This library provides implementations of many algorithms and data structures that are useful for bioinformatics, but also in other fields.
Statistics, Information Measures, Data Analysis, Linear Algebra, Clifford Algebra, Machine Learning, Geometric Median, Matrix Decompositions, Mahalanobis Distance, Hulls, Multithreading..
Clarabel Conic Interior Point Solver for Rust / Python
A rust binding for the GSL (the GNU scientific library)
Machine Learning in Rust.
The package provides wrappers for LAPACK (Fortran).
A toolbox for efficient global optimization
Ergonomic auto differentiation in Rust, with pytorch like apis.
The package provides wrappers for BLAS (Fortran).
Scientific computing in Rust
Newton based methods for root finding
Simple k-means clustering to find dominant colors in images. Backed by a generic k-means implementation offered as a standalone library.
Flexible and modular single or multi-objective solver for contiguous and discrete problems
COBYLA optimizer for Rust
A linear algebra library.
SLSQP optimizer for Rust
Performs regression for generalized linear models using IRLS on data stored in arrays.
CUDA Driver API Wrapper
Linear Algebra package with rust-ndarray interface
high-performance computation on any hardware
A macro for executing a subset of Rust with OpenCL
A high-performance computing (HPC) framework
high-performance computation on any hardware
A scientific computing library
A low-level modular, extensible GPGPU compute library with cross-platform support
A numerical computations library for Rust
Tensors and dynamic neural networks.
Open Source, High Performance & Hardware Accelerated, Quantum Computer Simulation in Rust
Are we learning yet?
