# 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

```sh
sudo av install brew:blockhash
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install blockhash
```

  证据: local Homebrew formula metadata

### Linux

- Nix (92%):

```sh
nix profile install nixpkgs#blockhash
```

  证据: nixpkgs package indexes: pkgs/by-name/bl/blockhash/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

## 软件包事实

- **软件包键:** brew:blockhash
- **软件包管理器:** Homebrew
- **版本:** 0.3.3
- **来源摘要:** Perceptual image hash calculation tool
- **主页:** <https://github.com/commonsmachinery/blockhash>
- **仓库:** <https://github.com/commonsmachinery/blockhash>
- **最后更新:** 2026-07-06T11:06:08Z
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- blockhash (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 0.3.3
## 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.

### 来源

- GitHub repository metadata via gh api repos/commonsmachinery/blockhash
- <https://github.com/commonsmachinery/blockhash#readme>
- <https://github.com/commonsmachinery/blockhash/releases>
- source_facts.package-manager


## 安全说明

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

- **Geiger 风险:** blue / 中
- broad file, network, media, or database tool signal

## 其他软件包管理器记录

- Nix - blockhash: normalized package name match | nixpkgs package indexes: pkgs/by-name/bl/blockhash/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1


## Combined YAML source

View the package source record on GitHub. [combined/blockhash.yml](https://github.com/mxcl/pkgdb/blob/main/combined/blockhash.yml)


## 来源

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