Python and Julia in harmony.

Statically sized arrays for Julia

Macro(s) for vectorizing loops.

An experimental code analyzer for Julia. No need for additional type annotations.

Agent-based modeling framework in Julia

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Grid-based approximation of partial differential equations in Julia

An optimized graphs package for the Julia programming language

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

The slow descent into madness

A framework for out-of-core and parallel execution

Fast and simple fluid simulator in Julia

A benchmarking framework for the Julia language

A framework for applied category theory in the Julia language

Repository of best practices for deep learning in Julia, inspired by fastai

Simple drawings using vector graphics; Cairo "for tourists!"

Distributed High-Performance Symbolic Regression in Julia

An opinionated code formatter for Julia. Plot twist - the opinion is your own.

A Julia package for disciplined convex programming

HDF5-compatible file format in pure Julia

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Julia package for function approximation

Symbolic expressions, rewriting and simplification

Simple package for literate programming in Julia

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Library for the numerical simulation of closed as well as open quantum systems.

Fast, continuous interpolation of discrete datasets in Julia

Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia

Interactive widgets to play with your Julia code

Julia Implementation of Transformer models

A Julia library for efficient tensor computations and tensor network calculations

Meta-package for data analysis in Julia, modeled after the R tidyverse.

A Control Systems Toolbox for Julia

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Julia implementation of QuantEcon routines

Compiles Julia code to a standalone library (experimental)

Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.