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Drop Stacker

Drop Stacker

Fabric mod for Minecraft that automatically merges dropped item entities on the ground into stacked entities — reducing item lag on servers and singleplayer worlds. Configurable stack size, scan radius, and scan interval.

279
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279
4

Compatibility

Minecraft: Java Edition

26.1.2

Platforms

Supported environments

Server-side
Singleplayer

Links

Report issues View source
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Tags

Creators

Details

Licensed MIT
Published 2 months ago

Drop Stacker

A Fabric mod for Minecraft that automatically stacks dropped item entities on the ground into a single entity, reducing entity lag and keeping your world tidy.

Features

  • Dropped items of the same type and NBT automatically merge within a configurable radius
  • Stacks beyond vanilla's 64-item limit — up to your configured maxStackSize
  • Colorful stack count label displayed above items:
    • 🟢 Green — 64 or below
    • 🟡 Yellow — 65 to 500
    • 🔴 Red — above 500
  • Optional despawn countdown timer on the label:
    • 🟢 Green — plenty of time remaining
    • 🟡 Yellow — under 2 minutes
    • 🔴 Red — under 30 seconds
  • Server-side merge logic only, no client-side desync
  • New config fields are added automatically on server restart — no manual editing needed

Requirements

Configuration

Config file is created automatically at .minecraft/config/drop-stacker.json on first launch:

{
  "maxStackSize": 1000,
  "scanRadiusX": 5.0,
  "scanRadiusY": 2.0,
  "scanRadiusZ": 5.0,
  "scanInterval": 5,
  "showDespawnTimer": true
}
Field Description Default
maxStackSize Maximum items per stacked entity 1000
scanRadiusX Scan radius on X axis (blocks) 5.0
scanRadiusY Scan radius on Y axis (blocks) 2.0
scanRadiusZ Scan radius on Z axis (blocks) 5.0
scanInterval Ticks between each scan 5
showDespawnTimer Show despawn countdown on the label true

Building

./gradlew build

Output JAR is in build/libs/.

License

MIT — see LICENSE.

[!CAUTION] I am not great at Kotlin and this project was built with AI assistance. There may be bad code, wrong patterns, or things that could be done much better. If you spot anything — please open an issue or a pull request. I genuinely appreciate it and will learn from it. Thank you.