proj

{
  "aliases": [
    "proj@9"
  ],
  "alternatives": [
    "GDAL",
    "GeographicLib",
    "pyproj"
  ],
  "build_dependencies": [
    "cmake",
    "libtool",
    "pkgconf"
  ],
  "categories": [
    "library",
    "geospatial"
  ],
  "caveats": null,
  "conflicts_with": [
    "blast"
  ],
  "dependencies": [
    "libtiff"
  ],
  "deprecated": 0,
  "deprecation_reason": null,
  "desc": "Cartographic Projections Library",
  "disable_reason": null,
  "disabled": 0,
  "enrichment_fetched_at": "2026-06-20T23:40:52+00:00",
  "first_seen": "2026-06-20T23:34:18+00:00",
  "full_name": "proj",
  "github_default_branch": null,
  "github_last_commit_at": null,
  "github_readme_excerpt": null,
  "github_repo": null,
  "github_stars": null,
  "github_topics": [],
  "homepage": "https://proj.org/",
  "homepage_og_description": null,
  "homepage_og_image": null,
  "homepage_title": "PROJ \u2014 PROJ 9.8.1 documentation",
  "installs_30d": 7196,
  "installs_365d": 107205,
  "installs_90d": 25579,
  "keg_only": 0,
  "keg_only_reason": null,
  "last_seen": "2026-06-20T23:34:18+00:00",
  "license": "MIT",
  "llm_generated_at": "2026-06-20T23:44:58+00:00",
  "llm_model": "claude-haiku-4-5",
  "name": "proj",
  "oldnames": [],
  "one_liner": "C library for cartographic coordinate system transformations and map projections.",
  "optional_dependencies": [],
  "rank_30d": 452,
  "rank_365d": 398,
  "rank_90d": 437,
  "raw_hash": "086ffc9d7dc97e65",
  "recommended_dependencies": [],
  "revision": 0,
  "ruby_source_path": "Formula/p/proj.rb",
  "tap": "homebrew/core",
  "test_dependencies": [],
  "uses_from_macos": [
    "curl",
    "sqlite"
  ],
  "version_head": "HEAD",
  "version_stable": "9.8.1",
  "versioned_formulae": [],
  "why_use_this": "PROJ is the standard geospatial library for converting between geographic coordinate systems, datums, and projections\u2014essential for GIS software, mapping tools, and geospatial analysis. It handles complex transformations (lat/lon to UTM, Web Mercator, etc.) with high accuracy and is widely integrated into PostGIS, GDAL, and other geospatial stacks."
}