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使用 Homebrew 安装 whalebrew

查看 whalebrew 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 whalebrew

local Homebrew formula metadata

概览

软件包摘要

Homebrew, but with Docker images

命令和别名

  • whalebrew

历史

项目历史与用法

Whalebrew is a Go command-line tool that makes Docker images behave like native commands by installing executable wrappers for them. Its README summarizes the idea as Homebrew, but with Docker images: package a CLI in a container, then run it from the shell as though it were installed locally.

The project sits at the intersection of Docker packaging and developer workstation hygiene. It was designed for tools such as awscli, ffmpeg, wget, and other CLIs whose dependencies can be awkward or intrusive when installed directly on a host.

项目历史

The Whalebrew repository was created in January 2017, during the period when Docker had become a common developer packaging substrate beyond server deployment. The first GitHub release, 0.0.1, followed on 26 January 2017, and a 0.1.0 release appeared in March 2017.

The README credits Justin Cormack's dockercommand-cli as the original idea, then extends that idea into a package-manager-like workflow: install an image, create a command wrapper, and run Docker with the current directory mounted into the container.

Whalebrew releases continued over a long period, with 0.2.x releases in 2019-2020, 0.3.x in 2021, 0.4.x in 2022-2023, and 0.5.0 in August 2024. That slow release cadence reflects a mature niche tool rather than a rapidly changing application platform.

采用历史

Whalebrew's adoption is strongest among developers who like the isolation of Docker images but want a local command UX. It maintains a set of known-compatible images under the whalebrew organization and also allows arbitrary Docker Hub images when their entrypoint and filesystem behavior fit the model.

The project never needed to become a universal package manager to be useful. Its value is narrower: it gives teams and individuals a repeatable way to distribute CLIs with complex dependencies while leaving the host relatively clean.

使用方式

A user installs an image such as whalebrew/wget, after which Whalebrew writes an executable wrapper such as /usr/local/bin/wget or another configured install path. Running that command invokes Docker, binds the current working directory into /workdir, sets the working directory, and forwards arguments to the container entrypoint.

Package authors make Whalebrew-friendly images by setting the command as the Docker image entrypoint and ensuring the tool works on files under /workdir. Optional Docker labels define the exposed command name, environment variables, volumes, ports, networks, working directory behavior, missing-volume behavior, and required Whalebrew version.

为什么软件包爱好者会关心

Whalebrew is package-nerd significant because it treats Docker images as package artifacts for command-line tools, not only as deployable services. It also shows the tension between native package managers and container packaging: native commands are fast and integrated, while containerized commands are isolated and portable but have startup and filesystem tradeoffs.

The generated wrapper format is intentionally simple: an executable file with a Whalebrew shebang and YAML describing how to run the image. That makes the package boundary inspectable, which matters for users who care exactly what a packaged command is doing.

时间线

  • 2017-01-22: The Whalebrew repository is created.
  • 2017-01-26: GitHub release metadata records Whalebrew 0.0.1.
  • 2017-03-23: GitHub release metadata records Whalebrew 0.1.0.
  • 2019-2020: GitHub release metadata records the 0.2.x line.
  • 2021: GitHub release metadata records Whalebrew 0.3.0 and 0.3.1.
  • 2022-2023: GitHub release metadata records the 0.4.x line.
  • 2024-08-02: GitHub release metadata records Whalebrew 0.5.0.

Related projects

  • dockercommand-cli is credited in the README as the original idea.
  • Docker Hub and the whalebrew image organization provide the package substrate.
  • Homebrew is the naming and UX analogy, while Docker is the execution substrate.

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。

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
${WHALEBREW_CONFIG_DIR}/config.yaml~/.whalebrew/config.yaml$XDG_CONFIG_HOME/whalebrew/config.yaml$XDG_DATA_DIRS/*/whalebrew/config.yaml

可执行文件

已安装的可执行文件

命令类型暴露范围备注
whalebrew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0.5.0
管理器更新时间2026-07-25
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:whalebrew
版本0.5.0
软件包管理器Homebrew
主页https://github.com/whalebrew/whalebrew
仓库https://github.com/whalebrew/whalebrew
最后更新2026-07-25T22:40:20+02:00
Pulseupdated
Bottle未记录
服务未声明

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 configuration and credential file locations
  • curated package history
  • pkg.so package database
  • pkgdb category and tag curation