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brew

vulture を Homebrew, apt, MacPorts, pacman でインストール

vulture のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。

インストール

追加のインストールコマンド

macOS

Homebrew確認済み · 100%
brew install vulture

local Homebrew formula metadata

MacPorts確認済み · 94%
sudo port install vulture

MacPorts ports tree · devel/vulture/Portfile · ソース: api.github.com

概要

パッケージ概要

Find dead Python code

コマンドとエイリアス

  • vulture

履歴

プロジェクトの歴史と使われ方

Vulture is a Python static-analysis command-line tool for finding unused code. It scans Python files, records defined and used names with the standard-library `ast` module, reports likely unused imports, variables, functions, methods, classes, properties, attributes, and also detects some unreachable code.

プロジェクトの歴史

Vulture has a longer history than its current GitHub repository suggests: PyPI records version 0.1 uploaded on March 17, 2012. The current GitHub repository was created in March 2017 under maintainer Jendrik Seipp, and the package metadata continues to identify him as the author/owner.

The project matured from a small dead-code finder into a production/stable Python quality tool. Its README emphasizes that Python's dynamic nature makes perfect static dead-code detection impossible, so Vulture reports confidence values and provides practical suppression mechanisms rather than pretending to be exact.

The 2.x series made Vulture fit modern Python project workflows: it supports `pyproject.toml` configuration, pre-commit integration, programmatic use, whitelists for false positives, common whitelists in the repository, and output syntax that complements Pyflakes.

採用の歴史

Vulture became a recognizable tool in Python maintenance circles because it addresses a recurring problem in large, long-lived codebases: unused helpers, stale imports, abandoned feature paths, and untested code that ordinary linting or test coverage may not make obvious.

By July 2026, GitHub repository metadata showed more than 4.6k stars, and PyPI listed Vulture 2.16 as the current release, uploaded on March 25, 2026. It also appears in editor and automation workflows through pre-commit hooks, a GitHub Action, and VS Code extension integrations.

使われ方

Typical usage is `vulture path_or_file`, optionally with directories, a generated whitelist, and a confidence threshold such as `--min-confidence 100`. The tool recommends scanning both a library and its test suite so code used only by tests is seen as used, and then rerunning after deletions because removing one chunk can reveal more dead code.

Vulture's confidence model is part of its identity. It treats unreachable code and unused function or method arguments as 100 percent, imports as 90 percent, and many attributes, classes, functions, methods, properties, and variables as 60 percent. Users tune results with whitelists, excludes, ignored names or decorators, `noqa` compatibility for selected Pyflakes codes, and `pyproject.toml` settings.

パッケージ好きにとっての重要性

For package nerds, Vulture is the small sharp tool between linting and coverage. It is simpler than a whole quality platform, depends mostly on Python's parser, and is valuable in cleanup branches, CI gates, and pre-commit checks where the goal is to find deletion candidates before they fossilize.

タイムライン

  • 2012: Vulture 0.1 was uploaded to PyPI on March 17, 2012.
  • 2017: The current GitHub repository was created on March 6, 2017.
  • 2021: Vulture 2.3 appeared as the example pre-commit hook revision in the README's integration documentation.
  • 2026: Vulture 2.16 was uploaded to PyPI on March 25, 2026.

Related projects

  • Vulture is related to Pyflakes, Flake8, Coverage.py, pre-commit, Ruff discussions around dead-code detection, editor extensions that wrap Vulture, and other Python dead-code tools such as uncalled and dead.

セキュリティ状態

リスクレベル: グリーン

narrow executable package without higher-risk signals.

リスク分類器

リスク グリーン · 信頼度 低 · appliance

理由

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

インストール挙動

  • formula メタデータに Homebrew post-install フックは記録されていません。
  • Homebrew bottle メタデータは 1 個のプラットフォームターゲットで利用できます。
  • 1 件の実行時依存関係とともにインストールされます。

推奨レビュー

エージェントに無人実行させる前に、このツールが平文の認証情報を読むか、リモート状態を書き込むか、成果物を公開するか、プラグインを起動するかを確認してください。

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
pyproject.toml

実行可能ファイル

インストールされる実行可能ファイル

コマンド種類公開範囲メモ
vulturecliグローバル実行可能ファイル

鮮度

バージョンと鮮度

これらの信号は、ページ生成時期、パッケージマネージャの活動、上流リリース比較を分けて示します。バージョン遅れは、証拠 URL と比較可能なバージョンがある場合だけ警告されます。

ページ生成日2026-07-25
マネージャ版2.16
マネージャ更新日
ローカルデータOK
上流not checked
検出された最新未検出

https://github.com/jendrikseipp/vulture

インストールメタデータ

パッケージメタデータ

パッケージキーbrew:vulture
バージョン2.16
パッケージマネージャHomebrew
パッケージマネージャページhttps://formulae.brew.sh/formula/vulture
ホームページhttps://github.com/jendrikseipp/vulture
リポジトリhttps://github.com/jendrikseipp/vulture
上流ドキュメントhttps://github.com/jendrikseipp/vulture/blob/main/README.md
ライセンスMIT
ソースアーカイブhttps://files.pythonhosted.org/packages/66/3e/4d08c5903b2c0c70cad583c170cc4a663fc6a61e2ad00b711fcda61358cd/vulture-2.16.tar.gz
依存関係python@3.14
Bottle利用可能 (対象 all)
Homebrew post-install未定義
サービス宣言なし

レジストリ情報

ソースデータベース詳細

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namevulture
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

ソースデータベース一致

他のパッケージマネージャ記録

一致は外部パッケージマネージャインデックスから取得され、ローカルの Automic Vault パッケージリンクとは分けて表示されます。

Debian apt95%

vulture 2.14-1

scans for unused ("dead") code in a Python program

https://github.com/jendrikseipp/vulture

sudo apt install vulture
  • Section: devel
  • Architecture: all
  • 3 依存関係
  • normalized package name match
  • 一致条件: Vulture
Debian stable package indexes · deb.debian.org · Debian stable package indexes: vulture from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz
Ubuntu apt95%

vulture 2.7-2

scans for unused ("dead") code in a Python program

https://github.com/jendrikseipp/vulture

sudo apt install vulture
  • Section: universe/python
  • Architecture: all
  • 3 依存関係
  • normalized package name match
  • 一致条件: Vulture
Ubuntu 24.04 LTS package indexes · archive.ubuntu.com · Ubuntu 24.04 LTS package indexes: vulture from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz
pacman95%

vulture 2.16-1

Finds dead code in Python projects

https://github.com/jendrikseipp/vulture

sudo pacman -S vulture
  • License: MIT
  • Architecture: any
  • 1 依存関係
  • normalized package name match
  • 一致条件: Vulture
Arch Linux sync databases · geo.mirror.pkgbuild.com · Arch Linux sync databases: vulture from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz
MacPorts95%

vulture

sudo port install vulture
  • normalized package name match
  • 一致条件: Vulture
MacPorts ports tree · api.github.com · MacPorts ports tree: devel/vulture/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

ソース経路

リポジトリデータから生成

このページは scripts/generate-pkg-sqlite.py が生成した非公開のパッケージ SQLite アーティファクトから av-web によって提供されます。

使用ソース

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment