jev-ui-test
Jev 决策模型驱动的 UI 自动化测试框架：不生成「下一步做什么」的文字，而是在候选元素里直接打分；一句话写用例，pytest 执行，Allure 出报告，每个操作决策中位 458 ms（UI test automation driven by the Jev decision model — scored decisions, not generated prose; ~458 ms per decision）
64 ★ on GitHub
What it is
Jev 决策模型驱动的 UI 自动化测试框架：一句自然语言写用例、跑成回归，每一步决策都说得清为什么。
The homepage listed on the repository, buer2233.github.io, puts it like this: Allure Report
Where the decision sits
jev-ui-test calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.
Models it references: Jev.
How active it is
Created 2026-09-22, last pushed 2026-10-23, 64 stars and 13 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.
Find out what your data actually supports
We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.