yunfalib

A library that adds config, math, events, modules, and more.

456 Downloads

fabriclibrary

Rent Server with this Mod

About this Mod

yunfaLib

A library for Minecraft using the Fabric API that adds config, math, events, modules, and more.

Setup

build.gradle

repositories {
    maven { url "https://jitpack.io" }
}

dependencies {
    modImplementation "com.github.yunfachi:yunfaLib:${project.yunfalib_version}"
}

gradle.properties

yunfalib_version=0.1.0

Features

Config

Example Java: The values are stored in the inner class

import moe.yunfachi.yunfalib.config.Config;
import java.io.File;

public class Example {
    private static class ConfigKeys {
        String truth = "this value is immediately saved to a file";
    }
    
    public Example() {
        final Config<ConfigKeys> config = new Config<>(
                new File("./modid/config.yml"), 
                new ConfigKeys()
        );
        
        config.get().truth = "this value will be written after config.save()";
        config.save();
    }
}

Example Java: The values are stored in the nested class

import moe.yunfachi.yunfalib.config.Config;
import java.io.File;

public class Example {
    public Example() {
        final Config<ConfigKeys> config = new Config<>(
                new File("./modid/config.yml"), 
                new ConfigKeys()
        );
        
        config.get().truth = "this value will be written after config.save()";
        config.save();
    }
}

class ConfigKeys {
    String truth = "this value is immediately saved to a file";
}

Example Kotlin: The values are stored in the inner class

import moe.yunfachi.yunfalib.config.Config
import java.io.File

class Example {
    init {
        class ConfigKeys {
            var truth = "this value is immediately saved to a file"
        }

        val config = Config(
            File("./modid/config.yml"),
            ConfigKeys()
        )
        
        config.get().truth = "this value will be written after config.save()"
        config.save()
    }
}

Example Kotlin: The values are stored in an anonymous object

import moe.yunfachi.yunfalib.config.Config
import java.io.File

class Example {
    init {
        val config = Config(
            File("./modid/config.yml"),
            object {
                var truth: String = "this value is immediately saved to a file"
            }
        )

        config.get().truth = "this value will be written after config.save()"
        config.save()
    }
}

Thanks

Project	Author	Description
Annotaml	WiIIiam278	library for generating YAML files

Stats

Alt

Available Versions

0.1.0release

MC 1.20.1fabric

November 5, 2023

How to Install yunfalib 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 (1.20.1).

Install Mod

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

Compatibility

Mod Loaders

fabric

Minecraft Versions

1.20.1

Server-side

✗ Unsupported

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

yunfalib 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 (1.20.1). You can switch loaders with one click in the panel.

Is yunfalib compatible with fabric?

yunfalib officially supports fabric for Minecraft 1.20.1. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with yunfalib – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if yunfalib 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.