T3 Code 记录了 1,071,866 月访问量,月度环比增长为 +52.5%,定价为免费。testRigor 记录了 105,865 月访问量,增长率为 -2.7%,定价为免费试用,定价请咨询,免费。

testRigor is an agentic AI test automation platform that lets you build end-to-end tests in plain English instead of code. It covers web, mobile, native desktop, API, email, SMS, phone calls, 2FA, and mainframe testing, includes free unlimited Generative AI, and self-heals tests so manual QA teams can automate without engineering help.
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | t3.codes | testrigor.com |
| 定价模式 | 免费 | 免费试用,定价请咨询,免费 |
| 月访问量 | 107.19万 (1,071,866) | 10.59万 (105,865) |
| 月度环比流量变化 | +36.91万 (+52.5%) | -2948 (-2.7%) |
| 主要市场与份额 | 🇺🇸 美国 (35.8%) | 🇺🇸 美国 (24.9%) |
| 直接访问 / 月 | 53.12万 | 5.55万 |
| 用户评分 | 4.7 | 4.5 |
| 支持的平台 | 网站 | 网站 |

编排编程代理的开源控制平面
在一个工作空间中并行运行 Claude Code、Codex、Antigravity、OpenCode、Cursor 和 Grok 会话。
不转售 token、不设额度上限,接入你已在付费的凭证与套餐,并可在会话中途切换模型。
管理分支、自动提交与推送,并通过内联差异审阅处理拉取请求后再接受改动。
开源且采用 MIT 许可,可在自有基础设施运行并按团队需求修改。

testRigor is an agentic AI test automation platform that lets you build end-to-end tests in plain English instead of code. It covers web, mobile, native desktop, API, email, SMS, phone calls, 2FA, and mainframe testing, includes free unlimited Generative AI, and self-heals tests so manual QA teams can automate without engineering help.
Build and maintain end-to-end tests using free-flowing plain English. testRigor interprets your instructions exactly as written and executes them, with no coding required.
Tests adapt to UI changes automatically, so you spend far less time fixing broken selectors and scripts. Customers report near-zero maintenance versus Selenium and Appium.
Cover web, iOS and Android mobile, native Windows desktop, API, email, SMS, phone calls, 2FA, and mainframe testing from a single tool.
Generate tests directly in testRigor or through Claude Code using MCP and Skills, and import existing manual test cases to get started quickly.
专项更强会学习你编码品味的 AI 编程智能体
免费 / 开源使用 git worktrees 并行运行多个 CLI 编码代理,提供强大的开源多代理开发环境。
自动编写、运行并自愈测试套件的智能体式端到端测试
面向 Web、iOS 与 Android 的智能体 AI 质量工程
作为本地与云端 AI 智能体的协作控制面板,同样高度聚焦于多智能体工作流。