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cask

使用 Homebrew Cask 安装 dda

查看 dda 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 Cask已验证 · 100%
brew install --cask dda

local Homebrew cask metadata

概览

软件包摘要

Tool for developing on the Datadog Agent platform

命令和别名

  • dda

历史

项目历史与用法

Datadog Agent Dev, installed as dda, is Datadog's CLI for developing on the Datadog Agent platform. Its README describes it as the main interface for that development workflow and points users to the generated documentation site.

项目历史

The datadog-agent-dev repository was created in September 2024 and publishes versioned releases independently of the larger datadog-agent repository. The Homebrew cask packaging uses a prebuilt dda archive from the datadog-agent-dev release stream.

采用历史

dda is primarily an internal and contributor-facing developer tool rather than a broad consumer utility. Its package-manager value is that contributors can install the same CLI entry point without first bootstrapping the Python project from source.

使用方式

The official docs organize dda around commands, configuration, tools, environments, and developer workflows for the Datadog Agent. Its config reference documents a platform-specific config.toml location and a config command group for managing the file.

为什么软件包爱好者会关心

For package nerds, dda is interesting as a vendor-maintained project-specific CLI: a cask-distributed binary that wraps a large engineering workflow and codifies repository conventions into commands.

时间线

  • 2024: datadog-agent-dev repository created
  • 2025: Documentation site shows Datadog copyright from 2025-present
  • 2026: v0.35.0 release published

Related projects

  • datadog-agent, Hatch, Ruff, Mypy

安全态势

尚未找到受保护工具覆盖

没有找到 dda 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布,以便未来覆盖拥有稳定的软件包 URL。

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • 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.

Linux
~/.local/share/dd-agent-dev/config.toml
macOS
~/Library/Application Support/dd-agent-dev/config.toml
Windows
%LOCALAPPDATA%\dd-agent-dev\config.toml

Credential files

Credential-bearing paths to review before unattended agent runs.

Linux
~/.local/share/dd-agent-dev/config.toml
macOS
~/Library/Application Support/dd-agent-dev/config.toml
Windows
%LOCALAPPDATA%\dd-agent-dev\config.toml

可执行文件

已安装的可执行文件

命令类型暴露范围备注
dda二进制Homebrew cask 二进制dda

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2026-07-25
管理器版本0.37.0
管理器更新时间2026-07-22
本地数据OK
上游not checked
检测到的最新版本未检测到

https://github.com/DataDog/datadog-agent-dev

安装元数据

软件包元数据

软件包键cask:dda
版本0.37.0
软件包管理器Homebrew Cask
软件包管理器页面https://formulae.brew.sh/cask/dda
主页https://github.com/DataDog/datadog-agent
仓库https://github.com/DataDog/datadog-agent
源码归档https://github.com/DataDog/datadog-agent-dev/releases/download/v0.37.0/dda-aarch64-apple-darwin.tar.gz
最后更新2026-07-22T01:09:24Z
Pulseupdated
SHA-2568463be751a635a2926e854f6623685607b6ddf57d02a17fd85df4803848b5b54
下载 URLhttps://github.com/DataDog/datadog-agent-dev/releases/download/v0.37.0/dda-aarch64-apple-darwin.tar.gz
Bottle未记录
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew cask API
Taphomebrew/cask
Full Tokendda
Names
  • dda
Artifacts
Auto Updatesyes
Deprecatedno
Disabledno

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。

winget95%

Datadog.dda

winget install --id Datadog.dda -e
  • normalized package name match
  • 匹配方式:Dda
Windows Package Manager source index · cdn.winget.microsoft.com · Windows Package Manager source index: Datadog.dda from https://cdn.winget.microsoft.com/cache/source.msix

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

  • 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