bazel

{
  "aliases": [
    "bazel@9"
  ],
  "alternatives": [
    "CMake",
    "Make",
    "Buck2",
    "Gradle",
    "Maven"
  ],
  "build_dependencies": [],
  "categories": [
    "build-system"
  ],
  "caveats": null,
  "conflicts_with": [
    "bazelisk"
  ],
  "dependencies": [
    "openjdk@21"
  ],
  "deprecated": 0,
  "deprecation_reason": null,
  "desc": "Google\u0027s own build tool",
  "disable_reason": null,
  "disabled": 0,
  "enrichment_fetched_at": "2026-06-20T23:35:47+00:00",
  "first_seen": "2026-06-20T23:34:18+00:00",
  "full_name": "bazel",
  "github_default_branch": null,
  "github_last_commit_at": null,
  "github_readme_excerpt": null,
  "github_repo": null,
  "github_stars": null,
  "github_topics": [],
  "homepage": "https://bazel.build/",
  "homepage_og_description": "Use the Bazel Open Source Project to scalably build and test massive, multi-language, multi-platform codebases.",
  "homepage_og_image": null,
  "homepage_title": "Bazel",
  "installs_30d": 1815,
  "installs_365d": 23966,
  "installs_90d": 4923,
  "keg_only": 0,
  "keg_only_reason": null,
  "last_seen": "2026-06-20T23:34:18+00:00",
  "license": "Apache-2.0",
  "llm_generated_at": "2026-06-20T23:48:29+00:00",
  "llm_model": "claude-haiku-4-5",
  "name": "bazel",
  "oldnames": [],
  "one_liner": "Google\u0027s build system for large multi-language, multi-platform codebases, written in Java.",
  "optional_dependencies": [],
  "rank_30d": 1023,
  "rank_365d": 983,
  "rank_90d": 1095,
  "raw_hash": "76961c0e63718114",
  "recommended_dependencies": [],
  "revision": 0,
  "ruby_source_path": "Formula/b/bazel.rb",
  "tap": "homebrew/core",
  "test_dependencies": [],
  "uses_from_macos": [
    {
      "python": "build"
    },
    "unzip",
    "zip"
  ],
  "version_head": null,
  "version_stable": "9.1.1",
  "versioned_formulae": [
    "bazel@8",
    "bazel@7"
  ],
  "why_use_this": "Bazel excels at massive monorepos with complex dependencies across languages (Python, Java, Go, C++, etc.); it caches and parallelizes aggressively, and enforces reproducible builds. Use it if you\u0027re scaling beyond Make or CMake, or maintaining Google-scale infrastructure. Steeper learning curve than alternatives, but pays off in correctness and speed at scale."
}