This project focuses on creating a binding for WebGPU across Web, Desktop, and Mobile.
For a low-level library that supports Mobile and Desktop, check out wgpu4k-native.

1. Prerequisites
2. How to Execute Examples
3. Getting Started
4. Compatibility
5. Backend
6. Project Phases

• Gradle: 9.10+
• JDK: 25+
• Web Browsers: A recent version of Chrome or Firefox Nightly (check compatibility here).

git clone https://github.com/wgpu4k/wgpu4k.git
cd wgpu4k

• Desktop JVM: ./gradlew examples:glfw:run
• Web JS: ./gradlew examples:web-js:jsBrowserProductionRun
• Web Wasm: ./gradlew examples:web-js:wasmJsBrowserProductionRun
• Mac Native (Experimental): ./gradlew examples:native:runDebugExecutableNative
• Android (Experimental): Execute the android subproject via Android Studio.
• iOS (Experimental):
  • Build XCFramework: ./gradlew examples:iOS:assembleWgpuAppXCFramework.
  • Run the iosApp subproject with XCode (compatible with a simulator or real device).

Tip: Use Page Down and Page Up on your keyboard to switch scenes while running examples.

Documentation is on its way!
For now:

• Check out the minimalist project: Hello Cube
• Explore implemented scenes: Examples/Scenes.

• ✅ = First class citizen
• 🆗 = Best effort
• ❓ = Untested, could work
• 🛠️ = Work in progress
• 🔍 = Not supported yet (open to contributions)
• ❌ = Not applicable

The native backend uses Firefox WebGPU. For more details, visit the GitHub page.

• Proof of Concept (Done): Successfully tested WebGPU across multiple platforms using basic examples.

1. API Implementation: Developing the entire API.
2. API Refinement: Making the API more idiomatic to Kotlin.

• Production: Preparing the project for production use.