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使用 Homebrew, Nix 安装 blockhash

查看 blockhash 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install blockhash

local Homebrew formula metadata

Linux

Nix已验证 · 92%
nix profile install nixpkgs#blockhash

nixpkgs package indexes · pkgs/by-name/bl/blockhash/package.nix · 来源: api.github.com

概览

软件包摘要

Perceptual image hash calculation tool

命令和别名

  • blockhash

历史

项目历史与用法

blockhash is a small Commons Machinery command-line tool for computing perceptual image hashes. It packages the block mean value perceptual-hashing algorithm into a Unix-style utility that can hash one or more images from the shell.

项目历史

The official README says blockhash is based on the algorithm described in 'Block Mean Value Based Image Perceptual Hashing' by Bian Yang, Fan Gu, and Xiamu Niu. GitHub metadata dates the repository to September 2014, and the README copyright line names Commons Machinery in 2014.

The release history shows v0.1 in December 2014, follow-up 0.2 releases in January 2017, v0.3 in November 2017, and later maintenance releases through v0.3.3 in January 2023.

采用历史

blockhash has narrow but durable package adoption. The input metadata records Homebrew and Nix packages, which is enough for scripts and reproducible media-processing environments to depend on the CLI without building the ImageMagick-backed source manually.

使用方式

The README documents a direct CLI workflow: run `blockhash` with a list of images to calculate hashes, or `blockhash --help` for options. Building from source requires ImageMagick's MagickWand development library and the waf build script.

为什么软件包爱好者会关心

blockhash matters as a compact packaged implementation of perceptual hashing, useful for duplicate detection, image comparison, media archives, and content pipelines where cryptographic hashes are too brittle because visually similar images may have different bytes.

时间线

  • 2014: Official repository created and v0.1 released.
  • 2017: 0.2 and v0.3 releases published.
  • 2023: v0.3.3 maintenance release published.

Related projects

  • ImageMagick/MagickWand is the image-processing dependency named in the README.
  • The underlying perceptual-hashing method comes from the block mean value image hashing paper cited by the README.
  • Other perceptual-hash tools and media duplicate-detection pipelines are adjacent use cases.

安全态势

风险级别:blue

broad file, network, media, or database tool signal.

风险分类器

blue 风险 · 中 置信度 · tool

原因

  • broad file, network, media, or database tool signal

信号

  • text:image

安装行为

  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
blockhash可执行文件已索引可执行文件从本地可执行文件索引发现。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-03
管理器版本0.3.3
管理器更新时间2026-07-06
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:blockhash
版本0.3.3
软件包管理器Homebrew
主页https://github.com/commonsmachinery/blockhash
仓库https://github.com/commonsmachinery/blockhash
最后更新2026-07-06T11:06:08Z
Pulseupdated
Bottle未记录
服务未声明

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

Nix95%

blockhash

nix profile install nixpkgs#blockhash
  • normalized package name match
  • 匹配方式:Blockhash
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/bl/blockhash/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • pkg.so package database
  • pkgdb category and tag curation