Browse Kotlin Multiplatform libraries

Enhances Swift API integration from Kotlin, reducing boilerplate code and improving maintainability for seamless cross-platform development. Valuable for modular projects and supports Compose Multiplatform integration.

Zero-overhead Result monad for modelling success or failure in operations, offering features like chaining, transformation, and binding support, inspired by Elm, Haskell, and Rust.

Declarative 3D and AR UI with composable scene graph, async model loading, gesture-friendly editable models, AR anchors, procedural geometry, view-as-surface, and lightweight web runtime.

Renders styled text in the terminal with features like ANSI color output, Markdown rendering, layout widgets, and animations, including progress bars and dashboards.

Implementation of Reactive Extensions, supporting multiple platforms, schedulers, and interoperability with coroutines and RxJava. Offers `Observable`, `Maybe`, `Single`, `Completable`, various subjects, and sophisticated subscription management through `DisposableScope`.

GPU-accelerated blur modifier for Compose UI with NEON-optimized CPU fallback, bitmap capture, adjustable radius, and observable blurring states for applied, captured, loading, and error.

Animation library enabling shared element transitions, movement, and transformation animations with a composable function. Features include spring-based specs, lazy list transformations, and transitions between composable screens.

The missing Design System layer for Compose UI

Offers an asynchronous API for interacting with Bluetooth Low Energy devices, supporting scanning, connection management, and I/O operations through coroutines. Provides customizable logging and structured concurrency.

Framework facilitates unidirectional data flow and state machine-based business logic for building scalable, composable applications with synchronized UI frameworks and robust testing capabilities.

Efficiently manages atomic operations by transforming code for various platforms. Supports atomic values, arrays, user-defined extensions, locks, and tracing operations for debugging, ensuring high performance and idiomatic usage.

Offers Model-View-ViewModel architecture components for UI applications, featuring lifecycle-aware ViewModel, LiveData, EventsDispatcher, and integration with various UI tools like DataBinding, ViewBinding, and SwiftUI.

Mobile database runs directly on phones, tablets, or wearables, offering object-oriented data models, efficient resource usage, and offline capabilities. Includes real-time data sync across users and devices.

Advanced bottom sheet component offers segmented sizing, modal/non-modal types, and extensive customization. Allows specifying sheet sizes, monitoring states, and supports nested scrolling for dynamic content interaction.

Facilitates asynchronous Remote Procedure Call (RPC) services with simplified integrations, supporting flow-based data streaming. Offers transport-agnostic design, seamless integration with existing solutions, and customizable serialization protocols.

Offers shimmering animation for UI elements, integrated via a simple modifier. Includes customization options like theming and animation boundaries. Supports advanced usage scenarios and custom modifiers.

Tracks changes in composable arguments, printing recomposition reasons in Logcat. Customizable for tagging and logging methods. Includes IntelliJ plugin for generating function calls automatically.

Framework enabling MVI pattern implementation with features like logging, time travel, and lifecycle-aware connections. Flexible architecture supports various reactive libraries or none, facilitating incremental adoption and experimentation.

Renders markdown content with easy setup, cross-platform support, and lightweight performance. Customizes styles, extended spans, and annotated strings. Integrates image loading and allows custom components.

Offers structured logging with configurable log levels, tagging, and output destinations. Supports logging to console, file, and custom destinations with flexible configuration options.

Transforms Google Spreadsheets into JSON endpoints, facilitating seamless migration to REST APIs. Enables direct data management, accelerating proof-of-concept or MVP development.

Logger library supports multiple platforms, displaying logs on each platform's native viewer. Features include customizable log levels, throwable logging, and integration with Crashlytics.

Offers WebView functionality for JetBrains Compose applications, enabling URL loading, HTML rendering, and data posting. Features include WebView state management, navigation control, custom settings, request interception, and native-JS communication.

DSL and builder API for constructing customizable text-rendered tables with features like borders, padding, individual cell styling, header/footer sections, row/column spans, and text alignment.

Enhances testing by enabling screenshot capturing during integration tests to validate app appearance and functionality. Integrated with Robolectric, supports visual comparison, and automates GitHub Actions workflows for reliable visual regression testing.

Enables fluent expressions for handling if-else statements, nullable types, collections, and booleans, enhancing code readability and simplifying conditional logic execution. Ideal for Android projects.

Implements a generic command-line parser with declarative syntax for defining commands and parameters, auto-generating help messages, and supporting custom types and subcommands. Suitable for creating flexible and user-friendly command-line interfaces.

Extensible Markdown processor enabling consistent client and server-side document parsing, supporting various Markdown flavors, with capabilities for HTML generation and syntax highlighting, tailored for easy customization and extension.

Simplifies cross-platform app development by offering navigation, ViewModel, and lifecycle management inspired by Jetpack components. Supports writing common business logic and UI code with easy setup and Molecule integration.

Framework for modeling success/failure of operations, using `Result<V, E>` type with `Success` and `Failure` states. Supports chaining operations, error handling, and higher-order functions for clean, functional code.