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Developer ToolsAlternative to FICO XpressAlternative to AMPLAlternative to GAMS

JuMP

Modeling language and algebraic optimization package for Julia.

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LicenseMPL-2.0
GitHub stars2.5k
Last commit1 weeks ago
Tags5 topics
Julia JumpMixed Integer ProgrammingDeveloper ToolsMathematical OptimizationLinear Programming Solver
Overview

Why consider JuMP?

JuMP is an open-source mathematical modeling language for optimization problems written in Julia by the JuMP development team. JuMP unifies interfaces to commercial and open-source solvers (HiGHS, Gurobi, CPLEX, Ipopt) for linear, mixed-integer, conic, and semidefinite programming.

Guided learning

Learn JuMP by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of JuMP

JuMP expresses complex mathematical programs in concise Julia equations and dispatches to solvers.

Quickstart

julia
1using Pkg; Pkg.add("JuMP"); Pkg.add("HiGHS")
2using JuMP, HiGHS
3
4model = Model(HiGHS.Optimizer)
5@variable(model, x >= 0)
6@objective(model, Min, 2x + 1)
7optimize!(model)

JuMP is licensed under the Mozilla Public License 2.0 (MPL-2.0).

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JuMP FAQs

JuMP is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

JuMP is listed under the MPL-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

JuMP is listed as an alternative to FICO Xpress. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.