Pyomo/pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems. observed · 2026-08-28
Health v2 · maintenance only
91/100
- Activity 99
- Release rhythm 75
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 50
- age_days: 3750
- days_rel: 90
- days_push: 7
- n_releases_24m: 10
Adoption not part of the score
2511 stars · 590 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Pyomo is a Python-based open-source algebraic modeling language for formulating, solving, and analyzing structured optimization problems. It supports a wide range of problem types (LP, MILP, NLP, stochastic, disjunctive, DAE) and interfaces with external commercial and open-source solvers.
Use cases
- formulate and solve linear programming models in Python
- build mixed-integer optimization models
- model nonlinear optimization problems symbolically
- solve stochastic optimization problems with parallel subproblems
- model differential algebraic equations for optimization
- interface Python models with solvers like Gurobi, CPLEX, or CBC
- develop high-level optimization and analysis tools
When to choose
- you need to express optimization models in a full-featured programming language rather than a DSL like AMPL or GAMS
- you want solver-agnostic modeling that works with many commercial and open-source solvers
- you need advanced problem types such as stochastic programming, generalized disjunctive programming, or equilibrium constraints
- you are building research or production optimization applications in Python
When to avoid
- you need a built-in solver - Pyomo requires installing third-party solvers separately
- you only need simple curve fitting or least-squares, where SciPy is lighter weight
- you need a graphical modeling environment like AIMMS
- your use case is machine learning model training rather than mathematical optimization
Facets
library · maturity stable
math sdk developer-tools mathematics data-science performance python cross-platform optimization algebraic-modeling-language linear-programming mixed-integer-programming operations-research solver-interface nonlinear-programming algorithms
5 sources
- readme: https://github.com/Pyomo/pyomo · fetched 2026-08-28 · e50e1a25d719
- homepage: https://www.pyomo.org · fetched 2026-08-29 · 4f645a0d9a58
- site_page: https://www.pyomo.org/about · fetched 2026-08-29 · d18554ffb4e7
- site_page: https://www.pyomo.org/installation · fetched 2026-08-29 · f135f932cf28
- site_page: https://www.pyomo.org/documentation · fetched 2026-08-29 · 637a93676a47
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Pyomo/pyomo | main | 91 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem