Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

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

Award winning software library for nonlinear dynamics

Julia package for function approximation

Optical Simulation software

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.

Probabilistic programming via source rewriting

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

Modeling and simulation of multidomain engineering systems

A Julia/JuMP Package for Power Network Optimization

The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Stochastic Dual Dynamic Programming in Julia

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

A Julia package for calculus with convex sets

A Julia/JuMP-based Global Optimization Solver for Non-convex Programs

Polyhedral Computation Interface

A Bayesian Analysis Toolkit in Julia

Tools for the exploration of chaos and nonlinear dynamics

Branch-and-Price-and-Cut in Julia

Evaluating Robustness of Neural Networks with Mixed Integer Programming

A solver for mixed-integer convex optimization

Sum of Squares Programming for Julia

ConstraintSolver in Julia: Blog posts ->

MADS: Model Analysis & Decision Support

Climate science package for Julia

Methods to compute sets of states reachable by dynamical systems

A development environment for robust and global optimization

Collection of fundamental physical constants with uncertainties. It supports arbitrary-precision constants

A Julia/JuMP Package for Unbalanced Power Network Optimization

Julia package for representing dual numbers and for performing dual algebra

A Julia module with quaternion and dual-quaternion functionality

A Platform for Scalable Modeling and Optimization

A package for discrete-time optimal stochastic control

Provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Julia Library for Interatomic Potentials

Automatic dualization feature for MathOptInterface.jl

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