Ross ROSS = Recommend OSS · open-source software intelligence for agents

Airtest Project

UI Automation Framework for Games and Apps observed · 2026-08-28

github.com/AirtestProject/Airtest · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

65/100

  • Activity 73
  • Release rhythm 35
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 113
  • age_days: 3143
  • days_rel: 272
  • days_push: 163
  • n_releases_24m: 4

Full methodology

Adoption not part of the score

9532 stars · 1448 forks observed · 2026-08-28

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

Airtest Project is a cross-platform UI automation testing framework from NetEase for games and apps, using image recognition to locate UI elements without code injection. It includes the Poco framework for UI-hierarchy-based automation across engines like Unity3D, Cocos2d-x, and UE4, plus AirtestIDE for recording and running test cases.

Use cases

  • automate testing of mobile games on android and ios
  • ui automation for unity3d games without injecting code
  • write once run anywhere automated tests for apps and games
  • generate html test reports with screenshots for failed cases
  • automate windows desktop application testing with python
  • run automated test cases across a large device farm
  • record and replay ui automation scripts in an ide

When to choose

  • you need to automate games or apps where you cannot access the source code or UI hierarchy
  • you want cross-platform test scripts covering Android, iOS, Windows, and game engines from one Python codebase
  • you prefer image-recognition-based element location over accessibility-based selectors
  • you want an IDE with script recording, running, and HTML reporting in one workflow

When to avoid

  • you only need web browser testing, where Selenium or Playwright are more mature choices
  • you need pure unit or API-level testing rather than UI automation
  • your team is not comfortable with Python-based scripting
  • you require lightweight CI-only tooling without a GUI IDE dependency

Facets

framework · maturity active

testing e2e-testing workflow-automation image-processing gui testing mobile-development developer-tools python windows cross-platform cli ui-automation game-testing image-recognition poco airtestide unity3d appium-alternative device-farm game-development automation android ios

6 sources

Member repositories

RepositoryRoleHealth v2
AirtestProject/Airtestmain65
AirtestProject/Pocoplugin23

For agents

markdown · JSON · MCP: product_card(name="AirtestProject/Airtest")

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