scientific-computing

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

A Rust machine learning framework.

ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

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.

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

OpenCL for Rust

Rust numeric library with high performance and friendly syntax

A linear algebra library written in Rust

Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.

Statistical routines for ndarray

Rust Scientific Library. ODE, DAE, and PDE solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers. Probability distributions. Tensor analysis. Numerical continuation.

a rust-native Modelica compiler for fast, composable, scientific computing

ODE solver library in Rust

Symbolic math library and computer algebra system for Rust

a small, lightweight crate for numerical integration written in Rust.

Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm cost propagation and verification.

Plan-first Rust continuum for certified geometry, physics simulation, optimization, and rendering.

N-dimensional interpolation methods in Rust and Python, no-std compatible

Read & decompress many chunks of files at high speed

An n-dimensional rust tensor toolkit