# 使用 Homebrew, MacPorts, Nix 安装 goku

查看 goku 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

```sh
sudo av install brew:goku
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install goku
```

  证据: local Homebrew formula metadata

- MacPorts (94%):

```sh
sudo port install goku
```

  证据: MacPorts ports tree: net/goku/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

### Linux

- Nix (92%):

```sh
nix profile install nixpkgs#goku
```

  证据: nixpkgs package indexes: pkgs/by-name/go/goku/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

## 软件包事实

- **软件包键:** brew:goku
- **软件包管理器:** Homebrew
- **版本:** 3.0.0
- **来源摘要:** HTTP load testing tool
- **主页:** <https://goku.observabilityinsight.com/>
- **仓库:** <https://github.com/jcaromiq/goku>
- **最后更新:** 2026-06-15T10:20:17-04:00
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- goku (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 3.0.0
## 项目历史与用法

Goku is a Rust HTTP load-testing CLI for benchmarking web services. Its maintainer describes it as inspired by Drill and Vegeta, with a focus on simple command-line load profiles, live statistics, rate limiting, scenarios, and structured output.

### 项目历史

The GitHub project was created in February 2023 and had early 0.0.x and 0.1.x releases within the same week. The README later expanded the tool beyond one-shot HTTP benchmarking with duration-based runs, multi-step YAML scenarios, comparison of saved JSON benchmark runs, and an MCP server interface.

### 采用历史

Goku appears in Homebrew, MacPorts, and Nix package metadata, which places it in the small but familiar package-manager niche of single-binary HTTP benchmarking tools. Its adoption footprint is modest compared with older load generators, so the best-supported history is the maintainer's README and release stream rather than third-party ecosystem writing.

### 使用方式

Typical use is `goku --target URL` with flags for clients, iterations or duration, headers, request body, output format, and rate limits. The `compare` subcommand makes it useful for package-manager users who want a local CLI to compare benchmark results without standing up a hosted load-testing service.

### 为什么软件包爱好者会关心

For package nerds, Goku is notable as a newer Rust entrant in the classic `ab`/Vegeta/Drill style: easy to bottle, easy to run from CI or a shell, and small enough to install as a toolbox binary. Its MCP support also reflects the 2025-era pattern of CLI tools exposing agent-callable surfaces.

### 时间线

- 2023: GitHub repository created for a Rust HTTP load-testing application.
- 2023: Early 0.0.x and 0.1.x GitHub releases published.
- 2024-2025: README describes expanded benchmarking features including duration runs, live stats, scenario files, JSON/CSV output, result comparison, and MCP support.

### Related projects

- Drill and Vegeta are named by the maintainer as inspirations for Goku's HTTP load-testing model.
- Goku occupies the same CLI benchmarking space as other installable HTTP load tools, but its official sources frame it primarily around Rust packaging, structured output, and agent integration.

### 来源

- <https://github.com/jcaromiq/goku>
- <https://github.com/jcaromiq/goku/releases>
- <https://goku.observabilityinsight.com/>


## 安全说明

没有找到 goku 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布，以便未来覆盖拥有稳定的软件包 URL。


## 其他软件包管理器记录

- Nix - goku: normalized package name match | nixpkgs package indexes: pkgs/by-name/go/goku/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
- MacPorts - goku: normalized package name match | MacPorts ports tree: net/goku/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1


## Combined YAML source

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


## 来源

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