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brew

使用 Homebrew 安装 keploy

查看 keploy 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 keploy

local Homebrew formula metadata

概览

软件包摘要

Testing Toolkit creates test-cases and data mocks from API calls, DB queries

命令和别名

  • keploy

历史

项目历史与用法

Keploy is an open-source API and integration testing platform that records real traffic, database calls, and streaming events, then replays them as deterministic tests and mocks.

The project is significant in the package-manager ecosystem because it ships a developer-facing CLI for a modern record-and-replay testing workflow, including eBPF-based traffic capture and CI usage.

项目历史

The keploy/keploy repository was created on GitHub on 2022-01-19. The official README describes Keploy as a developer-centric testing tool that auto-generates tests and data mocks from real API calls, database queries, and streaming events.

By the 2026 README, Keploy emphasized code-less, language-agnostic capture at the network layer using eBPF. The documentation also split the project into installation, quickstart, record-replay, CI/CD, coverage, and cloud features.

采用历史

Keploy developed visible adoption signals beyond a small CLI: the README linked to Slack, LinkedIn, YouTube, X, documentation, community materials, and the CNCF Landscape entry. On 2026-07-01, GitHub API metadata reported 17,843 stars and 2,252 forks, and Homebrew metadata listed v3.5.82 with 243 installs in the previous 30 days.

使用方式

The core CLI workflow is to install the Keploy agent, run an application with keploy record, exercise real API flows, then run keploy test to replay the captured traffic offline with mocks. The README describes support across languages because capture happens below application SDK boundaries.

Package users usually care about Keploy when they want integration tests without hand-writing large mock suites, especially for services that depend on databases, queues, or external APIs.

为什么软件包爱好者会关心

Keploy represents the packaging of eBPF-backed test capture as a normal developer CLI. That puts it in the same package-nerd conversation as tools that turn runtime behavior into reproducible artifacts: recorders, mock generators, and CI-friendly local infrastructure substitutes.

时间线

  • 2022-01-19: keploy/keploy repository created on GitHub.
  • 2026-06-29: v3.5.82 release published on GitHub.
  • 2026-07-01: Homebrew formula metadata listed Keploy v3.5.82.
  • 2026-07-01: GitHub API metadata reported 17,843 stars and 2,252 forks.

Related projects

  • The official docs and README position Keploy around API testing, integration testing, mocks, CI/CD, OpenAPI-driven coverage, and infrastructure virtualization.
  • The README links Keploy to the CNCF Landscape under application definition and development tooling.

安全态势

尚未找到受保护工具覆盖

没有找到 keploy 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。

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 构建元数据列出 1 个构建依赖。

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
keploycli全局可执行文件

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2026-07-26
管理器版本3.6.4
管理器更新时间2026-07-23
本地数据OK
上游当前
检测到的最新版本v3.6.4

https://github.com/keploy/keploy

  • 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:keploy
版本3.6.4
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/keploy
主页https://keploy.io
仓库https://github.com/keploy/keploy
上游文档https://github.com/keploy/keploy#readme
许可证Apache-2.0
源码归档https://github.com/keploy/keploy/archive/refs/tags/v3.6.4.tar.gz
最后更新2026-07-23T01:08:55Z
Pulseupdated
构建依赖go
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namekeploy
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

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。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment