Orca Minecraft Datapack Generator vs Sandstone

Orca Minecraft Datapack Generator turns a plain-English description into a Java datapack, creating JSON and mcfunction files, pack.mcmeta, and the folder layout. It supports recipes, loot tables, advancements, gameplay functions, and world-generation tweaks. The product page says the AI validates a pack, loads it onto a test server, and can use error logs to fix functions that fail. Datapacks run on vanilla Minecraft and Paper or Spigot servers without a client-side mod loader or player installation, but they cannot add entirely new items, blocks, or mobs. The free plan includes Orca Fast, 200 starter credits, 200 credits on later UTC sign-in days, free downloads, and an 8 GB test server. Orca Play costs $6.99 a month; Orca Pro costs 9.99 USD for the first month, then $19.99 a month; Orca Max costs $99.99 a month. Orca says it scans generated builds and uploaded files for security risks. Microsoft Azure OpenAI Service processes chat transcripts and build requests; Orca says user content is not used to train models.

Sandstone is a TypeScript library for building, debugging, and sharing Minecraft datapacks and resource packs. It gives developers command and resource autocomplete, with Wiki documentation for datapack elements such as predicates, loot tables, and advancements. You can group multiple functions, advancements, or loot tables in one file, or keep Minecraft’s one-per-file arrangement. Built-in control-flow tools include if/else, boolean logic, loops, switch statements, and sleep; vanilla commands are also available with build-time and run-time checks. The CLI scaffolds and builds packs, watches for file changes, and can rebuild automatically. Documentation snippets can be edited with a live datapack preview without installing Sandstone. The CLI installs Smithed and Sandstone libraries, and npm-compatible package managers are also supported. Functions can be published to NPM for use in other packs. Sandstone is open source and free, and is listed for Linux, macOS, web, and Windows. Local installation requires Bun and Node.js; the documentation recommends a code editor such as Visual Studio Code.