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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 observed · 2026-08-28

github.com/MaaXYZ/MaaFramework · homepage · C++ · LGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

91/100

  • Activity 99
  • Release rhythm 83
  • Longevity 87
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 2.0
  • age_days: 1227
  • days_rel: 32
  • days_push: 9
  • n_releases_24m: 97

Full methodology

Adoption not part of the score

4722 stars · 538 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MaaFramework is an automation black-box testing framework based on image recognition, rewritten from the experience of the MAA (MaaAssistantArknights) project. It offers a low-code pipeline protocol with high extensibility, letting developers build image-recognition-driven UI automation and testing programs across Windows, Linux, macOS, and Android.

Use cases

  • automate android game tasks with image recognition
  • write black-box UI tests without access to app source code
  • build low-code automation pipelines driven by screenshots
  • create custom automation assistants for mobile apps
  • run cross-platform gui automation scripts
  • integrate image-based testing into python or node projects

When to choose

  • you need to automate or test apps via the gui without source access
  • you want low-code pipeline definitions with extensible custom modules
  • you target android or desktop apps across windows, linux, and macos
  • you want bindings for python, c#, go, rust, or node

When to avoid

  • you need unit or api-level testing rather than visual ui automation
  • your app exposes a proper test automation api like appium or playwright targets
  • you require pixel-perfect ocr-heavy document processing rather than ui element recognition

Facets

framework · maturity active

testing e2e-testing computer-vision workflow-automation testing computer-vision developer-tools windows cpp python cross-platform image-recognition black-box-testing low-code game-automation pipeline-protocol automation linux macos android

2 sources

Member repositories

RepositoryRoleHealth v2
MaaXYZ/MaaFrameworkmain91

For agents

markdown · JSON · MCP: product_card(name="MaaXYZ/MaaFramework")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem