sleef

{
  "aliases": [],
  "alternatives": [
    "libm",
    "SVML",
    "libmvec"
  ],
  "build_dependencies": [
    "cmake"
  ],
  "categories": [
    "library",
    "math",
    "scientific"
  ],
  "caveats": null,
  "conflicts_with": [],
  "dependencies": [],
  "deprecated": 0,
  "deprecation_reason": null,
  "desc": "SIMD library for evaluating elementary functions",
  "disable_reason": null,
  "disabled": 0,
  "enrichment_fetched_at": "2026-06-20T23:41:11+00:00",
  "first_seen": "2026-06-20T23:34:18+00:00",
  "full_name": "sleef",
  "github_default_branch": null,
  "github_last_commit_at": null,
  "github_readme_excerpt": null,
  "github_repo": null,
  "github_stars": null,
  "github_topics": [],
  "homepage": "https://sleef.org",
  "homepage_og_description": null,
  "homepage_og_image": null,
  "homepage_title": "SLEEF Vectorized Math Library",
  "installs_30d": 2264,
  "installs_365d": 45372,
  "installs_90d": 13109,
  "keg_only": 0,
  "keg_only_reason": null,
  "last_seen": "2026-06-20T23:34:18+00:00",
  "license": "BSL-1.0",
  "llm_generated_at": "2026-06-20T23:47:50+00:00",
  "llm_model": "claude-haiku-4-5",
  "name": "sleef",
  "oldnames": [],
  "one_liner": "C library for fast SIMD evaluation of elementary math functions (sin, cos, log, exp, etc.) across vector architectures.",
  "optional_dependencies": [],
  "rank_30d": 913,
  "rank_365d": 725,
  "rank_90d": 699,
  "raw_hash": "2845f1bd02138745",
  "recommended_dependencies": [],
  "revision": 0,
  "ruby_source_path": "Formula/s/sleef.rb",
  "tap": "homebrew/core",
  "test_dependencies": [],
  "uses_from_macos": [],
  "version_head": "HEAD",
  "version_stable": "3.9.0",
  "versioned_formulae": [],
  "why_use_this": "SLEEF is a build/runtime dependency for numerical and scientific computing projects needing high-performance vectorized math on x86, ARM, and other SIMD-capable CPUs. It provides correctly-rounded implementations that are significantly faster than scalar libm, making it essential for HPC, graphics, and ML workloads that call elementary functions in tight loops."
}