🍺 BREW Explorer

← all formulae

ipopt

brew install ipopt v3.14.19 EPL-2.0

Interior point optimizer library for solving large-scale nonlinear optimization problems.

Why you might care

Ipopt is a standard dependency for scientific computing and operations research workflows, especially in Python (via Pyomo, CasADi) and MATLAB. It handles constrained nonlinear optimization at scale and is widely used in academia and industry for engineering design, control, and parameter fitting.

Categories

Alternatives

KNITRO SNOPT Gurobi CPLEX
2.8k
30-day installs · #822
7.1k
90-day · #945
19.9k
365-day · #1071

Runtime dependencies

Build dependencies

Links

Blurb generated by claude-haiku-4-5 on today.

Raw metadata
{
  "aliases": [],
  "alternatives": [
    "KNITRO",
    "SNOPT",
    "Gurobi",
    "CPLEX"
  ],
  "build_dependencies": [
    "openjdk",
    "pkgconf"
  ],
  "categories": [
    "library",
    "scientific",
    "math"
  ],
  "caveats": null,
  "conflicts_with": [],
  "dependencies": [
    "ampl-asl",
    "gcc",
    "openblas"
  ],
  "deprecated": 0,
  "deprecation_reason": null,
  "desc": "Interior point optimizer",
  "disable_reason": null,
  "disabled": 0,
  "enrichment_fetched_at": "2026-06-20T23:38:54+00:00",
  "first_seen": "2026-06-20T23:34:18+00:00",
  "full_name": "ipopt",
  "github_default_branch": null,
  "github_last_commit_at": null,
  "github_readme_excerpt": null,
  "github_repo": null,
  "github_stars": null,
  "github_topics": [],
  "homepage": "https://coin-or.github.io/Ipopt/",
  "homepage_og_description": null,
  "homepage_og_image": null,
  "homepage_title": "Ipopt: Documentation",
  "installs_30d": 2809,
  "installs_365d": 19940,
  "installs_90d": 7062,
  "keg_only": 0,
  "keg_only_reason": null,
  "last_seen": "2026-06-20T23:34:18+00:00",
  "license": "EPL-2.0",
  "llm_generated_at": "2026-06-20T23:47:16+00:00",
  "llm_model": "claude-haiku-4-5",
  "name": "ipopt",
  "oldnames": [],
  "one_liner": "Interior point optimizer library for solving large-scale nonlinear optimization problems.",
  "optional_dependencies": [],
  "rank_30d": 822,
  "rank_365d": 1071,
  "rank_90d": 945,
  "raw_hash": "1514a6dbe76699d5",
  "recommended_dependencies": [],
  "revision": 0,
  "ruby_source_path": "Formula/i/ipopt.rb",
  "tap": "homebrew/core",
  "test_dependencies": [
    "pkgconf"
  ],
  "uses_from_macos": [],
  "version_head": "HEAD",
  "version_stable": "3.14.19",
  "versioned_formulae": [],
  "why_use_this": "Ipopt is a standard dependency for scientific computing and operations research workflows, especially in Python (via Pyomo, CasADi) and MATLAB. It handles constrained nonlinear optimization at scale and is widely used in academia and industry for engineering design, control, and parameter fitting."
}