MaaXYZ/MaaFramework
基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition
About the project
MaaFramework is an image-recognition-based automation black-box testing framework in C++. It helps developers build low-code automation programs that recognize screen content and simulate input, originally based on the MAA project.
Useful for
- Build a screen-automation test for a desktop or mobile app.
- Integrate a pipeline of image recognition and simulated input into an existing test suite.
- Prototype a low-code automation assistant for repetitive UI tasks.
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 1 star so far today, about 3 expected by the end of the day.
- GitHub Trending C++ today: #12, +5 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 4,905
- Today
- 1 · ≈ 3 by evening
- Forks
- 558
- Issues and pull requests
- 1,443
- Watchers
- 19
- Language
- C++
- License
- LGPL-3.0
- Latest release
- v5.14.0-beta.1 · September 17, 2026
- Created
- April 24, 2023
- Last push
- September 22, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 22, 2026GitHub Trending C++ today: #12, +5 stars
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