Basic statistics for Julia

Exasim: Generating Discontinuous Galerkin Codes For Extreme Scalable Simulations

Julia package for kernel functions for machine learning

python workflow toolkit

Software for generating machine-learning interatomic potentials for LAMMPS

Sampling methods for data streams

Julia Wrappers for the arpack-ng Fortran library

The official registry of general Julia packages

Julia package registration bot

SparseArrays.jl is a Julia stdlib

Streamline your life using PromptingTools.jl, the Julia package that simplifies interacting with large language models.

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

OpenAI API wrapper for Julia

Bayesian optimization for Julia

Intel MKL vs OpenBLAS on AMD HPC CPUs in Julia

Julia Linear Algebra standard library

A Julia package for representing banded matrices

A benchmarking framework for the Julia language

A Julia port of the POD Interatomic Potential

Proof of concept

A Julia package for data clustering

A Julia package for interpretable machine learning with stochastic Shapley values

Julia package for writing VTK XML files

A few preconditioners for iterative solvers.

SmartSolve aims to significantly accelerate computations by providing better algorithmic and architectural choices.

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.