Resource Pack Profiler

Profile resource pack loading times

420 Downloads

fabricutility

Rent Server with this Mod

Screenshots

About this Mod

Description

Enables Minecrafts builtin resource reloading profiler and displays the profiling results in a pie chart after reloading.

Why?

Those results can be used to investigate and improve resource pack loading times.

Available Versions

Resource Pack Profiler 1.0.0release

MC 1.21.2, 1.21.3, 1.21.4, 1.21.5fabric

February 24, 2025

How to Install Resource Pack Profiler on Your Server

Order Server

Order a Minecraft Java server with at least 3 GB RAM (4 GB recommended).

Set fabric Loader

In the panel under "Egg", select the fabric loader and matching Minecraft version (1.21.5).

Install Mod

Open the mod browser in the dashboard and search for "Resource Pack Profiler". Click "Install" – done! Alternatively, upload the .jar via SFTP to the /mods folder.

Compatibility

Mod Loaders

fabric

Minecraft Versions

1.21.5, 1.21.4, 1.21.3 (+1 more)

Server-side

✗ Unsupported

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

Resource Pack Profiler server crashes on startup – what to do?

Most common cause: wrong fabric version or insufficient RAM. Check the server log (latest.log) for "OutOfMemoryError" or "Mixin" errors. With Mado Hosting: ensure at least 3 GB RAM is allocated and the loader matches the mod version (1.21.5). You can switch loaders with one click in the panel.

Is Resource Pack Profiler compatible with fabric?

Resource Pack Profiler officially supports fabric for Minecraft 1.21.5, 1.21.4, 1.21.3. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with Resource Pack Profiler – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if Resource Pack Profiler consumes the most tick time. Common fixes: reduce server view-distance to 8-10, install "performant" or "starlight" as supplementary mods on Forge. With Mado Hosting, your server runs on NVMe SSDs with dedicated CPU cores for minimal latency.