# Installer jr avec Homebrew

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de jr pour les workflows d'agents IA.

## installation

```sh
sudo av install brew:jr
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install jr
```

  Preuve: local Homebrew formula metadata

## Faits du paquet

- **Clé du paquet:** brew:jr
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.4.0
- **Résumé source:** CLI program that helps you to create quality random data for your applications
- **Page d'accueil:** <https://jrnd.io/>
- **Dépôt:** <https://github.com/jrnd-io/jr>
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- jr (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.4.0
## Historique du projet et usages

JR is an open source CLI for generating random data for streaming applications, especially Kafka-oriented demos, tests, and pipelines.

### Historique du projet

The JR documentation describes the project as a way to make quality random data for streaming applications without making Kafka test-data generation complex. Its documentation centers on reusable templates, embedded templates, data-generation functions, output templates, Kafka-friendly output, and producers.

### Historique d'adoption

JR's packaging footprint is smaller than general JSON tools but targeted: its docs recommend Homebrew for macOS and Linux and Snap on Linux, and the release feed shows regular 0.3.x and 0.4.0 GitHub releases from 2023 through 2025. Homebrew analytics for the formula showed 153 installs over the 365-day window reported by the formula API on 2026-07-01.

### Modes d'utilisation

A common workflow is to run a named template, generate repeated rows with count, frequency, and duration options, and pipe JSON output to tools such as jq or Kafka command-line clients. JR also documents custom template directories, embedded templates, key/value output templates, and a built-in function manual.

### Pourquoi les passionnés de paquets s'y intéressent

JR belongs to the family of infrastructure demo generators: tools that package fake but structured events so developers can test streaming systems without hand-writing JSON. For package nerds, it is notable for combining Go templates, XDG-style template directories, Kafka-oriented output, and a CLI-first workflow.

### Chronologie

- 2023: GitHub release pages recorded v0.1.4 on 2023-04-11 and v0.3.0 on 2023-06-07.
- 2024: The release feed recorded v0.3.9 on 2024-08-22.
- 2025: The release feed recorded v0.4.0 on 2025-05-01.

### Related projects

- JR is related to Kafka, kcat-style command-line streaming workflows, jq for inspecting generated JSON, and the broader category of fake-data generators used in demos and integration tests.

### Sources

- <https://formulae.brew.sh/api/formula/jr.json>
- <https://github.com/jrnd-io/jr>
- <https://github.com/jrnd-io/jr/releases/tag/v0.1.4>
- <https://github.com/jrnd-io/jr/releases/tag/v0.3.0>
- <https://github.com/jrnd-io/jr/releases/tag/v0.3.9>
- <https://github.com/jrnd-io/jr/releases/tag/v0.4.0>
- <https://jrnd.io/docs>


## Notes de sécurité

narrow executable package without higher-risk signals.

- **Risque Geiger:** vert / faible
- narrow executable package without higher-risk signals


## Combined YAML source

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


## Sources

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