# jump-dev/JuMP.jl

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

Repository: https://github.com/jump-dev/JuMP.jl
Canonical: https://ross.abutalabs.com/products/jumpjl
Homepage: http://jump.dev/JuMP.jl/
Language: Julia
License: NOASSERTION
License Family: other
Topics: optimization, julia, modeling-language, linear-programming, mixed-integer-programming, nonlinear-programming, semidefinite-programming, conic-programs, mathematical-programming, mathematical-modelling
Last push: 2026-08-24T01:48:59+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 5076, "days_push": 10, "days_rel": 15, "gap_med": 38, "n_releases_24m": 20}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2467, forks 425 (observed 2026-08-28T04:06:53.703703+00:00)

## What it is
JuMP is a domain-specific modeling language for mathematical optimization embedded in Julia. It lets users formulate linear, mixed-integer, conic, semidefinite, and nonlinear optimization problems that can be solved via a wide range of solver backends.

## Use cases
- formulate and solve linear programming problems in Julia
- model mixed-integer optimization problems
- build conic and semidefinite optimization models
- express nonlinear optimization problems declaratively
- swap between different optimization solvers with one model
- prototype mathematical models for operations research

## When to choose
- you need to model optimization problems in Julia with solver-agnostic syntax
- you want support for linear, integer, conic, semidefinite, and nonlinear programs in one tool
- you want a mature, well-documented modeling layer backed by an active community

## When to avoid
- you need a solver itself rather than a modeling layer
- your project is not in Julia
- you need a spreadsheet-style or GUI optimization tool

## Facets
- artifact type: library
- maturity: stable
- function: math, sdk, developer-tools
- domain: mathematics, performance, data-science
- platform: cross-platform
- tags: optimization, modeling-language, linear-programming, mixed-integer-programming, nonlinear-programming, semidefinite-programming, conic-optimization, mathematical-modeling, solver-interface, algorithms, julia

## Member repositories
- jump-dev/JuMP.jl (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:53.703703+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:29:12.596650+00:00, confidence not recorded.
  - readme: https://github.com/jump-dev/JuMP.jl (fetched 2026-08-28T04:06:53.703703+00:00, sha 65f30b899d30)
- Data as of 2026-08-30T08:39:29.467469+00:00.