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-purpose linear algebra library with transformations and statically-sized or dynamically-sized matrices.
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.
Geometry primitives
Statistical computing library for Rust
A linear algebra and mathematics library for computer graphics.
A sparse matrix library
Statistical routines for ArrayBase, the n-dimensional array data structure provided by ndarray.
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
The package provides wrappers for LAPACK (Fortran).
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.
The package provides wrappers for BLAS (Fortran).
Clarabel Conic Interior Point Solver for Rust / Python
Machine Learning in Rust.
Statistics, Information Measures, Data Analysis, Linear Algebra, Clifford Algebra, Machine Learning, Geometric Median, Matrix Decompositions, Mahalanobis Distance, Hulls, Multithreading..
A rust binding for the GSL (the GNU scientific library)
A toolbox for efficient global optimization
Simple k-means clustering to find dominant colors in images. Backed by a generic k-means implementation offered as a standalone library.
Newton based methods for root finding
Scientific computing in Rust
Flexible and modular single or multi-objective solver for contiguous and discrete problems
A linear algebra library.
Ergonomic auto differentiation in Rust, with pytorch like apis.
COBYLA optimizer for Rust
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 low-level modular, extensible GPGPU compute library with cross-platform support
A scientific computing library
A numerical computations library for Rust
Tensors and dynamic neural networks.
Open Source, High Performance & Hardware Accelerated, Quantum Computer Simulation in Rust
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