Dependency Packages
-
JuMP.jl1442Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
-
DSGE.jl643Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
-
DiffEqTutorials.jl452Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
-
DynamicalSystems.jl414Award winning software library for nonlinear dynamics
-
ApproxFun.jl355Julia package for function approximation
-
OpticSim.jl290Optical Simulation software
-
Measurements.jl278Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
-
Soss.jl268Probabilistic programming via source rewriting
-
Mamba.jl237Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia
-
Modia.jl207Modeling and simulation of multidomain engineering systems
-
PowerModels.jl191A Julia/JuMP Package for Power Network Optimization
-
JuliaFEM.jl176The 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.
-
SDDP.jl133Stochastic Dual Dynamic Programming in Julia
-
PowerSimulations.jl124Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
-
LazySets.jl117A Julia package for calculus with convex sets
-
Alpine.jl106A Julia/JuMP-based Global Optimization Solver for Non-convex Programs
-
Polyhedra.jl103Polyhedral Computation Interface
-
BAT.jl98A Bayesian Analysis Toolkit in Julia
-
ChaosTools.jl94Tools for the exploration of chaos and nonlinear dynamics
-
Coluna.jl92Branch-and-Price-and-Cut in Julia
-
MIPVerify.jl82Evaluating Robustness of Neural Networks with Mixed Integer Programming
-
Pajarito.jl81A solver for mixed-integer convex optimization
-
SumOfSquares.jl76Sum of Squares Programming for Julia
-
ConstraintSolver.jl75ConstraintSolver in Julia: Blog posts ->
-
Mads.jl75MADS: Model Analysis & Decision Support
-
ClimateTools.jl70Climate science package for Julia
-
ReachabilityAnalysis.jl69Methods to compute sets of states reachable by dynamical systems
-
EAGO.jl67A development environment for robust and global optimization
-
PhysicalConstants.jl60Collection of fundamental physical constants with uncertainties. It supports arbitrary-precision constants
-
PowerModelsDistribution.jl59A Julia/JuMP Package for Unbalanced Power Network Optimization
-
DualNumbers.jl58Julia package for representing dual numbers and for performing dual algebra
-
Quaternions.jl56A Julia module with quaternion and dual-quaternion functionality
-
Plasmo.jl56A Platform for Scalable Modeling and Optimization
-
StochDynamicProgramming.jl56A package for discrete-time optimal stochastic control
-
Complementarity.jl54Provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP
-
ClustForOpt.jl51Julia 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.
-
TimeSeriesClustering.jl51Julia 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.
-
JuLIP.jl49Julia Library for Interatomic Potentials
-
Dualization.jl48Automatic dualization feature for MathOptInterface.jl
-
Nabla.jl46-
Loading more...