Minecraft Datapack Language vs PackScript

Minecraft Datapack Language (MDL) compiles a JavaScript-style language into Minecraft datapacks. It supports if/else statements, while loops, number variables, arithmetic expressions and variable scopes. Projects can span multiple files, with variables from all files merged automatically, and can reference external JSON for registry types such as recipes, loot tables and advancements. Its command-line tool can create projects, check code and build datapacks or directories containing multiple files. A VS Code extension adds syntax highlighting, real-time error checking, build commands, workspace validation and raw text blocks. Python bindings support programmatic datapack creation with variables, control flow, nested functions and MDL scopes. Documentation includes Makefile, npm scripts and GitHub Actions build and checking examples. MDL is open source under the MIT License and costs nothing. Listed platforms include API, extension, Linux, macOS and Windows; system requirements include Python 3.8 or higher and Minecraft 1.20+ or 1.19+. Support pointers include documentation, examples, GitHub Issues and GitHub Discussions.

PackScript is a free, open-source command-line compiler for generating Minecraft datapack files. Python is the default language, allowing Minecraft commands to pass through without a separate command syntax. Function definitions can combine files and create generated function tags, while the dp object creates, modifies, or deletes datapack files, including dynamically named ones. The capture_lines() function gathers command lines into a list for “Only One Command” constructions. PackScript generates recipes, loot tables, advancements, and predicates. Compilation can produce a directory, ZIP, or JAR; a JAR can apply the pack as a mod and can include a resource pack when an assets folder is present. The init --modded option adds Fabric, Forge, and NeoForge configuration. A VS Code syntax highlighter and Fabric auto-compilation mod are associated projects. It runs on Linux, macOS, and Windows, requires Python 3.12 or later, and uses the MIT License.