# structurizr mit Homebrew installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für structurizr in AI-Agent-Workflows.

## Installation

```sh
sudo av install brew:structurizr
```

Weitere Installationsbefehle:

### macOS

- Homebrew (100%):

```sh
brew install structurizr
```

  Evidenz: local Homebrew formula metadata

## Paketfakten

- **Paketschlüssel:** brew:structurizr
- **Paketmanager:** Homebrew
- **Version:** 2026.06.28
- **Quellzusammenfassung:** Software architecture models as code
- **Homepage:** <https://structurizr.com/>
- **Repository:** <https://github.com/structurizr/structurizr>
- **Zuletzt aktualisiert:** 2026-06-29T08:08:37Z
- **Generiert:** 2026-08-03T19:37:03+00:00

## Executables

- structurizr (Alias)
- structurizr-mcp (Alias)

## Installationsverhalten

- Bottle: nicht verfügbar

## Version und Aktualität

- Seite generiert: 2026-08-03
- Manager-Version: 2026.06.28
## Projektgeschichte und Nutzung

Structurizr is a models-as-code tool for the C4 model, intended to create multiple software architecture diagrams from a single text model. The Homebrew package represents the newer consolidated Structurizr tooling rather than only the older standalone CLI.

### Projektgeschichte

The official repository README says Structurizr was created by Simon Brown, the author of the C4 model, and remains the reference implementation for C4-model compatibility. Official C4 history traces the model's roots to Brown's software architecture workshops in the mid-2000s and its named C4 form in workshop material from 2011.

Structurizr's official documentation frames the tool as an alternative to drag-and-drop diagramming: users write Structurizr DSL, and the tooling renders diagrams. The docs emphasize plain-text models, version-control friendliness, Git collaboration, CI/CD integration, and export paths to common diagram formats.

### Adoptionsgeschichte

The official documentation shows Structurizr tooling spanning playground, local, server, export, Java, OpenAPI, and community tooling pages. The input package facts list Homebrew distribution for the consolidated `structurizr` package, while the official docs also expose binaries and Docker-oriented workflows.

### Wie es verwendet wird

Common usage is to keep a `workspace.dsl` model in a repository, render or export diagrams, validate and inspect workspaces, and publish models to local or server/cloud Structurizr surfaces. Structurizr is especially suited to teams that want architecture documentation to behave like source code.

### Warum Paket-Nerds sich dafür interessieren

Package nerds care about Structurizr because it brings architecture diagrams into buildable, diffable, automatable tooling. It connects C4-model notation, DSL parsing, exporters, local rendering, and CI-friendly command execution in a way that fits package managers and developer workstations.

### Zeitleiste

- Mid-2000s: Simon Brown's software architecture workshops began shaping the approach that became the C4 model.
- 2011: Brown's workshop material contains the first C4 name reference he identifies.
- Current: Structurizr documentation presents the tool as models-as-code tooling for the C4 model and points users to consolidated commands.

### Related projects

- The C4 model, Structurizr DSL, Structurizr CLI, Structurizr local, Structurizr server, Structurizr Java libraries, PlantUML, Mermaid, and C4-PlantUML are all part of the surrounding official ecosystem.

### Quellen

- <https://c4model.com/history>
- <https://docs.structurizr.com/as-code>
- <https://docs.structurizr.com/dsl>
- <https://github.com/structurizr/structurizr#readme>
- source_facts.package-manager


## Sicherheitshinweise

Für structurizr wurde kein passendes lokales Secret-Handling-Manifest gefunden. Nucleus-Paketmetadaten bleiben hier veröffentlicht, damit künftige Abdeckung eine stabile Paket-URL hat.



## Combined YAML source

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


## Quellen

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph
