# faceair/youjumpijump

⚠️⚠️⚠️ DEPRECATED

Repository: https://github.com/faceair/youjumpijump
Canonical: https://ross.abutalabs.com/products/youjumpijump
Language: Go
License Family: other
Archived: true
Last push: 2018-01-09T07:13:37+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3169, "days_push": 3158, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1146, forks 240 (observed 2026-08-28T04:03:45.753723+00:00)

## What it is
A Go-based cheat bot for the WeChat 'Jump Jump' (跳一跳) mini-game that screenshots the screen, computes jump distance via image analysis, and simulates taps via ADB on Android or WebDriverAgent on iOS. It is explicitly deprecated and WeChat's anti-cheat may penalize users.

## Use cases
- automate playing wechat jump jump game
- auto-play tiaoyitiao with adb on android
- cross-platform game bot written in go
- image-based jump distance calculation for mobile game
- run a game cheat directly on android device

## When to choose
- you want a single static binary bot for the WeChat Jump Jump game on Android or iOS
- you prefer a Go implementation over the original Python version for speed and easy packaging

## When to avoid
- you want a maintained tool - the project is deprecated and WeChat actively bans cheaters
- you need a legitimate or anti-cheat-safe way to play the game
- you need support for games other than WeChat Jump Jump

## Facets
- artifact type: application
- maturity: abandoned
- function: computer-vision, image-processing, workflow-automation
- domain: gaming-tools, computer-vision
- platform: windows, go, cli
- tags: wechat, game-cheat, jump-jump, adb, deprecated, screen-capture, automation, android, ios, macos

## Member repositories
- faceair/youjumpijump (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:45.753723+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:34:10.160667+00:00, confidence not recorded.
  - readme: https://github.com/faceair/youjumpijump (fetched 2026-08-28T04:03:45.753723+00:00, sha 7246a070b6db)
- Data as of 2026-08-30T08:39:29.467469+00:00.