sarah-quinones/faer-rs
Linear algebra foundation for the Rust programming language
What it solves
It provides a high-performance, pure Rust implementation of linear algebra routines, offering a portable and correct alternative to existing libraries for mathematical computations.
How it works
The library implements both low-level linear algebra routines for maximum control and a high-level wrapper that simplifies the use of these routines for general development.
Who it’s for
Developers who need a reliable, portable, and fast linear algebra library written entirely in Rust.
Highlights
- Pure Rust implementation
- Focuses on portability, correctness, and performance
- Includes both low-level routines and high-level wrappers
Related
- Project
CoderLuii/HolyClaudeA containerized AI development workstation that bundles Claude Code, a web UI, and a comprehensive suite of AI CLIs and dev tools for instant deployment.
- Project
scverse/scanpyA scalable Python toolkit for analyzing single-cell gene expression data, supporting preprocessing, clustering, and trajectory inference for datasets with over a million cells.
- Project
KomputeProject/komputeA cross-vendor GPU compute framework based on Vulkan that enables high-performance acceleration for machine learning and data processing across AMD, NVIDIA, and Qualcomm hardware.
- Project
Agent-Field/agentfieldAgentField is an open‑source Go control‑plane plus Python/Go/TS SDKs that turn ordinary functions into production‑ready, auto‑scalable AI agents reachable via REST. It handles routing, retries, async execution, tracing, cryptographic identity, and provides a web UI for DAG‑style observability.