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Automated Integration Testing and Live Documentation for your API
📚 A comprehensive study of how the Compose compiler determines type stability for recomposition optimization.
🦄 Real-time analysis of Jetpack Compose composable functions' stability directly within Android Studio or IntelliJ.
Kotlin Multiplatform utilities for working with open transportation data.
Kotlin Multiplatform library for working with delimiter-separated values.
🐶 Automated code review tool integrated with any code analysis tools regardless of programming language
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
Gradle Plugin and Library to use gRPC within Kotlin multiplatform code.
Rust bindings to the MapLibre Native map rendering engine
Shipping non-Kotlin libraries behind a Kotlin multiplatform API
Fast ML inference & training for ONNX models in Rust
MacOS menu bar app for launching iOS and Android 🤖 emulators
Carbon design system implementation with KMP and Compose Multiplatform
A library to provide abstractions to access common utilities when developing Dioxus applications.
Fullstack app framework for web, desktop, and mobile.
Library for building presentations using Compose Multiplatform.
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
🧵 Compose Effects enable you to launch efficient side-effects without unnecessary operations for Android and Compose Multiplatform.
A multiplatform, compile-time dependency injection framework for Kotlin
AI wearables. Put it on, speak, transcribe, automatically
📚 Curated articles to understand Compose internals and optimize Jetpack Compose performance.
Open Source Machine Learning Research Platform designed for frontier AI/ML workflows. Local, on-prem, or in the cloud. Open source.