# Install dockviz with Homebrew, apk

Visualizing docker data. Version 0.6.4 via Homebrew; verified 2026-07-25. Also installable with apk: sudo apk add dockviz.

## Install

```sh
sudo av install brew:dockviz
```

Additional install commands:

### macOS

- Homebrew (100%):

```sh
brew install dockviz
```

  Evidence: local Homebrew formula metadata

### Linux

- apk (92%):

```sh
sudo apk add dockviz
```

  Evidence: Alpine Linux edge package indexes: dockviz from https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz

## Package facts

- **Package key:** brew:dockviz
- **Package manager:** Homebrew
- **Version:** 0.6.4
- **Source summary:** Visualizing docker data
- **Homepage:** <https://github.com/justone/dockviz>
- **Repository:** <https://github.com/justone/dockviz>
- **Last updated:** 2026-07-25T14:21:58-04:00
- **Generated:** 2026-08-03T19:37:03+00:00

## Executables

- dockviz (alias)

## Install behavior

- Bottle: not available

## Freshness

- Page generated: 2026-08-03
- Package-manager version: 0.6.4
## Project history and usage

Dockviz is a Go command-line tool for visualizing Docker image and container data. It belongs to the early Docker utility wave: small CLIs that made Docker's layer and container relationships easier to inspect before those views were common in mainstream tooling.

### Project history

The GitHub repository was created in April 2014 and describes the project as a way to present Docker image and container information in different forms. Its README documents image trees, Graphviz DOT output, short summaries, and container-link diagrams, all centered on making Docker's local state visible from the terminal.

### Adoption history

Dockviz became a niche but well-known Docker helper rather than a general-purpose platform tool. The repository still has more than a thousand stars, and Homebrew continues to package release 0.6.4, but Homebrew analytics show modest recent installs, which fits a mature specialist tool.

### How it is used

Typical usage is interactive inspection: `dockviz images --tree` for a terminal tree, `dockviz images --dot | dot ...` for rendered graphs, and `dockviz containers --dot` for container relationship diagrams. It can read Docker daemon data directly or accept Docker JSON on standard input.

### Why package nerds care

Dockviz is package-nerd interesting because it captures a specific moment in Docker history: image layers were central to understanding builds, and a small Go binary plus Graphviz was enough to turn opaque local Docker state into inspectable structure.

### Timeline

- 2014: GitHub repository created for visualizing Docker data.
- 2010s: README documents Docker image trees, Graphviz output, and container diagrams.
- 2026: Homebrew packages stable release 0.6.4 with low but continuing install activity.

### Related projects

- Dockviz is closely related to Docker itself and to Graphviz, which the README uses for rendering DOT output. Its examples also reference older Docker environment tooling such as boot2docker and docker-machine.

### Sources

- <https://github.com/justone/dockviz>
- <https://raw.githubusercontent.com/justone/dockviz/master/README.md>
- <https://api.github.com/repos/justone/dockviz>
- <https://formulae.brew.sh/api/formula/dockviz.json>


## Security Notes

narrow executable package without higher-risk signals.

- **Geiger risk:** green / low
- narrow executable package without higher-risk signals

## Other Package-Manager Records

- apk - dockviz - 0.6.4-r33: normalized package name match | Alpine Linux edge package indexes: dockviz from https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz | Visualizing Docker Data | https://github.com/justone/dockviz


## Combined YAML source

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


## Sources

- 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
