Automic VaultAutomic Vault

brew

使用 Homebrew, Nix 安装 dry

查看 dry 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 dry

local Homebrew formula metadata

Linux

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

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

概览

软件包摘要

Terminal application to manage Docker and Docker Swarm

历史

项目历史与用法

dry is a terminal UI for managing Docker and Docker Swarm. It packages as a single binary and gives operators an ncurses-style way to inspect containers, images, networks, volumes, nodes, services, stacks, logs, events, and Docker daemon state.

项目历史

The project emerged during the Docker Swarm era as an alternative interface to repeated `docker` CLI invocations. Its README emphasizes parity with many official Docker CLI commands, local or remote Docker daemon support, monitoring use cases, and single-binary installation.

采用历史

dry's adoption is mostly among terminal-first Docker users who want an interactive dashboard without a web console. Official badges and docs point to GitHub releases and Snap packaging, while Homebrew and Nix packaging make it easy to install on developer workstations.

使用方式

Users run `dry` to browse Docker resources, inspect selected objects, tail logs, execute into containers, view daemon events, and manage Swarm constructs. Its keyboard-driven interface makes it a lightweight local operations tool rather than a cluster control plane.

为什么软件包爱好者会关心

dry is package-nerd interesting because it is a Go-era single binary that wraps a large external platform without bundling that platform. The package is small, but its usefulness depends entirely on a reachable Docker daemon and on staying compatible with Docker's API behavior.

时间线

  • 2010s: dry appears as a terminal application for Docker and Docker Swarm management.
  • Later: The README documents single-binary installation and command/keybinding coverage for containers, images, networks, volumes, and Swarm resources.
  • Packaging era: The project advertises GitHub release workflows and package surfaces such as Snap, Homebrew, and Nix.

Related projects

  • Docker and Docker Swarm are the managed platforms.
  • The official Docker CLI is the behavior reference for many dry commands.
  • Snap, Homebrew, and Nix are common package-distribution neighbors for the single binary.

安全态势

风险级别:绿色

narrow executable package without higher-risk signals.

风险分类器

绿色 风险 · 低 置信度 · appliance

原因

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 构建元数据列出 1 个构建依赖。

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
drycli全局可执行文件

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2026-07-08
管理器版本0.13.0
管理器更新时间
本地数据OK
上游当前
检测到的最新版本v0.13.0

https://github.com/moncho/dry

  • 信息No package-manager update timestamp was available.低 置信度

安装元数据

软件包元数据

软件包键brew:dry
版本0.13.0
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/dry
主页https://moncho.github.io/dry/
仓库https://github.com/moncho/dry
上游文档https://github.com/moncho/dry#readme
许可证MIT
源码归档https://github.com/moncho/dry/archive/refs/tags/v0.13.0.tar.gz
构建依赖go
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

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

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%

dry

nix profile install nixpkgs#dry
  • normalized package name match
  • 匹配方式:Dry
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/dr/dry/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
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment