# litani mit Homebrew installieren

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

## Installation

```sh
sudo av install brew:litani
```

Weitere Installationsbefehle:

### macOS

- Homebrew (100%):

```sh
brew install litani
```

  Evidenz: local Homebrew formula metadata

## Paketfakten

- **Paketschlüssel:** brew:litani
- **Paketmanager:** Homebrew
- **Version:** 1.29.0
- **Quellzusammenfassung:** Metabuild system
- **Homepage:** <https://awslabs.github.io/aws-build-accumulator/>
- **Repository:** <https://github.com/awslabs/aws-build-accumulator>
- **Generiert:** 2026-08-03T19:37:03+00:00

## Executables

- litani (Alias)

## Installationsverhalten

- Bottle: nicht verfügbar

## Version und Aktualität

- Seite generiert: 2026-08-03
- Manager-Version: 1.29.0
## Projektgeschichte und Nutzung

Litani is an AWS Labs metabuild tool for accumulating command jobs into a dependency graph, running them through Ninja, and producing both a JSON run record and an HTML dashboard. It is aimed at builds where job metadata, failure policy, and reportability matter as much as command execution.

### Projektgeschichte

The project is published from the `awslabs/aws-build-accumulator` repository and documents itself as a command-line build system rather than a new build language. Its workflow starts with `litani init`, adds jobs with dependencies, and runs the resulting graph with `litani run-build`.

Litani's documentation emphasizes build accumulation: commands can be generated by scripts, Makefiles, or other systems, while Litani records return codes, runtimes, stdout, stderr, and other metadata in JSON and renders that data into an HTML report.

### Adoptionsgeschichte

Adoption evidence is modest and mostly package-manager oriented. GitHub releases provide Debian packages and Homebrew installation instructions, and the Homebrew formula exposes the `litani` command for macOS users.

### Wie es verwendet wird

Users define jobs, dependencies, and failure behavior from the command line, then inspect `litani dump-run` output or the generated dashboard. The tool is most useful when an existing build needs reporting, dependency ordering, and durable run metadata without rewriting the build in a new DSL.

### Warum Paket-Nerds sich dafür interessieren

Litani is package-nerd interesting because it is a thin orchestration layer over familiar tools: shell commands, Ninja, JSON, and static HTML. Its value is in making build execution observable and packageable, not in replacing compilers or build file formats.

### Zeitleiste

- 2023-04-19: Release 1.24.0 provided Homebrew and Ubuntu package installation notes.
- 2026-03-02: Release 1.28.0 included Homebrew and Ubuntu package installation notes.
- 2026-06-12: Release 1.29.0 was published with Homebrew and Ubuntu package installation notes.

### Related projects

- Related projects include Ninja, Make, CMake, Graphviz, Gnuplot, Jinja, and other build-reporting or continuous-integration tools.

### Quellen

- <https://awslabs.github.io/aws-build-accumulator/>
- <https://github.com/awslabs/aws-build-accumulator>
- <https://github.com/awslabs/aws-build-accumulator/releases>


## Sicherheitshinweise

generalized runtime or code generation signal.

- **Geiger-Risiko:** yellow / mittel
- generalized runtime or code generation signal


## Combined YAML source

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


## Quellen

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