nain57/smart-autoclicker

An open-source auto clicker on images for Android

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Summary Information

Updated 47 minutes ago
Added to GitGenius on September 19th, 2026
Created on August 30th, 2020
Open Issues & Pull Requests: 34 (+0)
GitHub issues: Enabled
Number of forks: 609
Total Stargazers: 3,626 (+0)
Total Subscribers: 49 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 33.9 days
90th percentile: 99.0 days
Tracked items: 303

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How this project is maintained

About 9% of issues opened in the past year have never received a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 85% of issues opened in the past year have been closed, leaving a working backlog. Three people close 91% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 29
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 258 days
Stale 30+ days: 21
Stale 90+ days: 14

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 3

Top labels

  • bug (159)
  • invalid (43)
  • fixed (42)
  • acknowledged-priority-normal (36)
  • accepted (22)
  • acknowledged-priority-low (19)
  • wontfix (15)
  • duplicate (9)

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Detailed Description

Smart AutoClicker is an Android automation tool that triggers actions based on image detection.

The tool solves the problem of automating repetitive tasks on Android devices by detecting images on screen and executing configured actions in response. Rather than relying solely on timing or coordinate-based clicking, it uses image recognition to identify UI elements and trigger clicks, swipes, or more complex automation sequences when those images appear. This approach allows automation to adapt to dynamic interfaces where elements may not always appear in the same location.

The tool suits developers, testers, and gamers who need to automate repetitive interactions with Android applications. It offers two modes: an image-detection mode for sophisticated automation that can respond to visual changes in the interface, and a Regular Mode for straightforward auto-clicking tasks that do not require image matching. Beyond basic clicking and swiping, the tool supports advanced features including counter operations, Android Intents, flow control, and triggers based on timers and broadcast receivers, making it capable of handling complex automation scenarios. The project is distributed through both Google Play and F-Droid.

The project maintains active engagement with its user community through a wiki for documentation and a structured issue template for bug reports. Development activity shows consistent attention to compatibility concerns, as evidenced by the availability of an obfuscated version to address application-blocking measures. The codebase is written in Kotlin and follows Material Design principles for its user interface.