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使用 Homebrew 安装 dockerfilegraph

查看 dockerfilegraph 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 dockerfilegraph

local Homebrew formula metadata

概览

软件包摘要

Visualize your multi-stage Dockerfiles

命令和别名

  • dockerfilegraph

历史

项目历史与用法

dockerfilegraph is a Go CLI that turns multi-stage Dockerfiles into Graphviz dependency diagrams.

项目历史

Patrick Hoefler's repository was created in February 2021 and released v0.1.0 the same day. The README frames the tool around a common Docker build problem: multi-stage Dockerfiles become hard to reason about once stages, external images, `COPY --from`, and mount-based dependencies accumulate.

The project continued to receive regular releases through the 0.21.x line by March 2026. Its output model matured around build-stage nodes, highlighted default targets, external-image nodes, and edge styles for `FROM`, `COPY --from`, and `RUN --mount ... from=` dependencies.

采用历史

dockerfilegraph remains a specialist visualization tool rather than a default Docker workflow. Its install paths still matter to package users: the README documents Docker/ghcr usage, Homebrew installation from the author's tap, mise installation from GitHub, and source builds.

The Homebrew formula API reported stable version 0.21.0, 16 installs in the previous 30 days, and 477 installs in the previous year as of June 30, 2026. That is modest adoption, but credible for a focused Dockerfile architecture/debugging utility.

使用方式

Running `dockerfilegraph` in a project directory generates a graph for `Dockerfile`, with output formats including PDF, SVG, and PNG. Flags support legends, layer display, target filtering, scratch-image handling, separated external-image nodes, and Graphviz layout tuning.

为什么软件包爱好者会关心

The package is notable because it externalizes Docker build structure into ordinary graph artifacts. It is the kind of CLI package maintainers like: a single executable plus Graphviz turns opaque build-stage relationships into inspectable files for reviews, docs, and debugging.

时间线

  • 2021: Repository created and v0.1.0 released.
  • 2025: 0.19.x releases show continuing maintenance.
  • 2026: v0.21.0 released and Homebrew formula reports stable 0.21.0.

Related projects

  • dockerfilegraph depends conceptually on Docker multi-stage builds and uses Graphviz for graph rendering.
  • It overlaps with documentation and build-debugging workflows rather than with Docker runtime management tools.

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。
  • 安装时包含 1 个运行时依赖。
  • 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
dockerfilegraphcli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2026-07-10
管理器版本0.21.0
管理器更新时间
本地数据OK
上游当前
检测到的最新版本v0.21.0

https://github.com/patrickhoefler/dockerfilegraph

  • 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:dockerfilegraph
版本0.21.0
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/dockerfilegraph
主页https://github.com/patrickhoefler/dockerfilegraph
仓库https://github.com/patrickhoefler/dockerfilegraph
上游文档https://github.com/patrickhoefler/dockerfilegraph#readme
许可证MIT
源码归档https://github.com/patrickhoefler/dockerfilegraph/archive/refs/tags/v0.21.0.tar.gz
依赖graphviz
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 Namedockerfilegraph
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

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
  • package relationship graph
  • package version freshness
  • package-page enrichment