metis

{
  "aliases": [],
  "alternatives": [
    "Scotch",
    "ParMETIS",
    "Zoltan"
  ],
  "build_dependencies": [
    "cmake"
  ],
  "categories": [
    "library",
    "scientific",
    "math"
  ],
  "caveats": null,
  "conflicts_with": [],
  "dependencies": [],
  "deprecated": 0,
  "deprecation_reason": null,
  "desc": "Programs that partition graphs and order matrices",
  "disable_reason": null,
  "disabled": 0,
  "enrichment_fetched_at": "2026-06-20T23:41:17+00:00",
  "first_seen": "2026-06-20T23:34:18+00:00",
  "full_name": "metis",
  "github_default_branch": null,
  "github_last_commit_at": null,
  "github_readme_excerpt": null,
  "github_repo": null,
  "github_stars": null,
  "github_topics": [],
  "homepage": "https://karypis.github.io/glaros/software/metis/overview.html",
  "homepage_og_description": null,
  "homepage_og_image": null,
  "homepage_title": "Family of Graph and Hypergraph Partitioning Software | George Karypis",
  "installs_30d": 1736,
  "installs_365d": 22485,
  "installs_90d": 6288,
  "keg_only": 0,
  "keg_only_reason": null,
  "last_seen": "2026-06-20T23:34:18+00:00",
  "license": "Apache-2.0",
  "llm_generated_at": "2026-06-20T23:48:38+00:00",
  "llm_model": "claude-haiku-4-5",
  "name": "metis",
  "oldnames": [],
  "one_liner": "Graph and matrix partitioning library written in C for divide-and-conquer domain decomposition.",
  "optional_dependencies": [],
  "rank_30d": 1046,
  "rank_365d": 1009,
  "rank_90d": 996,
  "raw_hash": "83b4275a2330abe9",
  "recommended_dependencies": [],
  "revision": 0,
  "ruby_source_path": "Formula/m/metis.rb",
  "tap": "homebrew/core",
  "test_dependencies": [],
  "uses_from_macos": [],
  "version_head": null,
  "version_stable": "5.1.0",
  "versioned_formulae": [],
  "why_use_this": "Essential dependency for scientific computing and finite-element analysis; partitions large graphs and sparse matrices across multiple processors to balance computational load. Used by many FEM/CFD solvers and linear algebra libraries. METIS is a mature, widely-trusted standard in HPC workflows."
}