github hewigovens/app-detective 1.5.0

5 hours ago

What's new

Detection

  • Detection is now driven by a catalog of confidence-scored signatures per stack. A stack is reported on one strong match or two weak ones; weaker hits show up as possible stacks instead of being dropped.
  • New strong evidence: app.asar, flutter_assets, py2app/PyInstaller files, and bundled Java runtimes. ChatGPT is now detected as Electron.
  • Detects iOS apps running on macOS (UIKit), and fixes apps without CFBundleExecutable such as Muse and Meta AI.
  • Fewer false positives: Chromium install names no longer count as Electron, and Tauri, Python, Qt, Java, Node, and Flutter checks are tighter.

Main window

  • Each stack is a tag; click one to see the exact evidence that matched. Possible stacks are drawn dashed.
  • Scan several folders at once, managed from a toolbar menu. Onboarding offers /Applications and ~/Applications in one click.
  • File → Export Results… writes the visible apps as CSV or JSON.
  • Native sidebar selection, search, and count badges; progress and counts live in the title bar. Every stack now appears in the sidebar.

Performance

  • Detection results, category, icon, and size are cached together in ~/Library/Caches and reused until the app changes or the detection rules change. Warm launches of /Applications drop from about 3s to 0.7s.

Command-line tool

  • appdetective --explain <app> prints which rules matched. JSON output now includes possibleStacks and evidence.

Under the hood

  • The app no longer uses security-scoped bookmarks or an entitlements file; saved folder bookmarks migrate to plain paths.
  • Built in Swift 6 language mode with Observation; CI runs on Xcode 27.
  • Release archives are packaged without AppleDouble metadata and verified (codesign, stapler, Gatekeeper) before upload.

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