eigen

{
  "aliases": [
    "eigen@5"
  ],
  "alternatives": [
    "Armadillo",
    "Blaze",
    "Boost.Ublas",
    "BLAS",
    "LAPACK"
  ],
  "build_dependencies": [
    "cmake"
  ],
  "categories": [
    "library",
    "header-only-library",
    "math",
    "scientific"
  ],
  "caveats": null,
  "conflicts_with": [],
  "dependencies": [],
  "deprecated": 0,
  "deprecation_reason": null,
  "desc": "C++ template library for linear algebra",
  "disable_reason": null,
  "disabled": 0,
  "enrichment_fetched_at": "2026-06-20T23:37:16+00:00",
  "first_seen": "2026-06-20T23:34:18+00:00",
  "full_name": "eigen",
  "github_default_branch": null,
  "github_last_commit_at": null,
  "github_readme_excerpt": null,
  "github_repo": null,
  "github_stars": null,
  "github_topics": [],
  "homepage": "https://gitlab.com/libeigen/eigen",
  "homepage_og_description": "Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.",
  "homepage_og_image": "https://gitlab.com/uploads/-/system/project/avatar/15462818/Eigen_Silly_Professor_64x64.png",
  "homepage_title": "libeigen / eigen \u00b7 GitLab",
  "installs_30d": 10747,
  "installs_365d": 176909,
  "installs_90d": 42519,
  "keg_only": 0,
  "keg_only_reason": null,
  "last_seen": "2026-06-20T23:34:18+00:00",
  "license": "MPL-2.0 AND Apache-2.0 AND BSD-3-Clause AND Minpack",
  "llm_generated_at": "2026-06-20T23:44:17+00:00",
  "llm_model": "claude-haiku-4-5",
  "name": "eigen",
  "oldnames": [],
  "one_liner": "C++ header-only template library for linear algebra (matrices, vectors, solvers, decompositions).",
  "optional_dependencies": [],
  "rank_30d": 345,
  "rank_365d": 310,
  "rank_90d": 307,
  "raw_hash": "495f8fa97b0df22d",
  "recommended_dependencies": [],
  "revision": 0,
  "ruby_source_path": "Formula/e/eigen.rb",
  "tap": "homebrew/core",
  "test_dependencies": [],
  "uses_from_macos": [],
  "version_head": "HEAD",
  "version_stable": "5.0.1",
  "versioned_formulae": [
    "eigen@3"
  ],
  "why_use_this": "Eigen is the standard dependency for numerical computing in C++ \u2014 widely used in scientific, machine learning, and robotics projects. It\u0027s header-only (no linking), highly optimized with SIMD support, and handles everything from basic linear operations to advanced decompositions and sparse matrices. If your C++ project touches matrices or vectors, you\u0027ll likely need this."
}