MAT Engine

AI 移动端 App UI 自动化测试工具——执行引擎与 CLI（命令 mat）。

自然语言一句话生成用例，真机 dry-run 校准
混合驱动定位链：控件层 → 图像模板 → 视觉大模型兜底，失败自动自愈
每步强制截图证据，失败五分类归因（崩溃 / 断言失败 / 定位失败 / 环境问题 / 待归因）
探索测试：规则驱动自主遍历，页面层级（L0-Ln）与页面图谱沉淀，发现附复现路径
本地执行免费不限量，数据不出本机

# Windows
py -m pip install --user mat-uitest
# macOS / Linux（没有 pipx 时先 brew install pipx / sudo apt install pipx）
pipx install mat-uitest && pipx ensurepath
# 不想装 brew？改用 uv（不需要 root）：https://astral.sh/uv/install.sh 装 uv 后
#   uv tool install mat-uitest && uv tool update-shell   （最后一步把 ~/.local/bin 加进 PATH，重开终端生效）

mat doctor   # 环境自检
mat init     # 初始化工作区

文档：https://github.com/vlmpilot/mat-uitest/tree/main/docs （含产品使用手册 docs/13）

Metadata

Release files for mat-uitest 0.6.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mat-uitest 0.6.1
File	Size	Uploaded
mat_uitest-0.6.1.tar.gz	971.3 kB	Oct 14, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for mat-uitest 0.6.1
File	Interpreter	ABI	Platform	Reset
mat_uitest-0.6.1-py3-none-any.whl 820.0 kB Oct 14, 2026	Python 3	none	any	Details

Total release size: 1.8 MB

Release files / mat_uitest-0.6.1.tar.gz

Download URL	mat_uitest-0.6.1.tar.gz
Size	971.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`584071d7e8a0b3169ba78728578749ee4a234941ff23d60e30076e2e0e47e41f`
BLAKE2b-256 checksum How to use checksums	`417f17939f63f3248bb3df974447f0dcf2b9131da682e9c2237f835879be08bf`
Upload date	Oct 14, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`

Release files / mat_uitest-0.6.1-py3-none-any.whl

Download URL	mat_uitest-0.6.1-py3-none-any.whl
Size	820.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`4732aa25cd2fec4f9c58fca322898cb6cf404c6c866b802a8cbea7a0d8d0fb60`
BLAKE2b-256 checksum How to use checksums	`4e0f946f01c184496dff8bc9127f7c218c380cddadf9d86332ea6546a554b0c8`
Upload date	Oct 14, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`