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brew / 排名 8339

使用 Homebrew 安装 jr

查看 jr 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install jr

local Homebrew formula metadata

概览

软件包摘要

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

命令和别名

  • jr

历史

项目历史与用法

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

项目历史

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.

采用历史

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.

使用方式

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.

为什么软件包爱好者会关心

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.

时间线

  • 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.

安全态势

风险级别:绿色

narrow executable package without higher-risk signals.

风险分类器

绿色 风险 · 低 置信度 · appliance

原因

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

安装行为

  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
jr可执行文件已索引可执行文件从本地可执行文件索引发现。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-03
管理器版本0.4.0
管理器更新时间
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:jr
版本0.4.0
软件包管理器Homebrew
主页https://jrnd.io/
仓库https://github.com/jrnd-io/jr
Bottle未记录
服务未声明

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

Combined YAML source

View the package source record on GitHub.

combined/jr.yml

使用的来源

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