install

Additional install commands

macOS

Homebrewverified · 100%

brew install jr

local Homebrew formula metadata

overview

Package summary

CLI program that helps you to create quality random data for your applications

Project links

Commands and aliases

jr

history

Project history and usage

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

Project history

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.

Adoption history

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.

How it is used

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.

Why package nerds care

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.

Timeline

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

security posture

Risk level: green

narrow executable package without higher-risk signals.

Risk classifier

green risk · low confidence · appliance

Why

narrow executable package without higher-risk signals

Signals

metadata:no-higher-risk-signals

Install behavior

No Homebrew bottle metadata was recorded.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

executables

Installed executables

Command	Kind	Exposure	Note
`jr`	executable	indexed executable	Discovered from the local executable index.

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-08-03

manager version0.4.0

manager updated

local dataunknown

upstreamnot available

latest detectednot detected

okNo freshness warnings were generated.

install metadata

Package metadata

Package key	brew:jr
Version	0.4.0
Package manager	Homebrew
Homepage	https://jrnd.io/
Repository	https://github.com/jrnd-io/jr
Bottle	not recorded
Service	none declared

package graph

Links come from deterministic package relationships, av.db category and tag curation, ecosystem matches, and package hub membership.

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Combined YAML source

View the package source record on GitHub.

combined/jr.yml

Used sources

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

Install jr with Homebrew