#Kotlin

OpenAI-Kotlin is a Kotlin library designed for easy integration with OpenAI's API, featuring multiplatform compatibility and coroutine support. Quickly set up by adding dependencies to build.gradle or Maven files. It supports functionalities like models, chat, and images. Secure API key management using environment variables is recommended. Ktor engines are available for HTTP client operations. Find comprehensive guides and sample apps for an effective start. This is an unofficial library distributed under the MIT license.

Discover a diverse range of programming challenges in this repository, curated to enhance programming capabilities with Kotlin. These challenges are structured to cultivate strong problem-solving skills, aiding preparation for critical whiteboard interviews. Each challenge presents a task overview, test methods, and multiple solution approaches, fostering comprehension of algorithms and Big O notation for efficiency evaluation. Begin with elementary tasks such as string reversal and gradually progress to complex problems covering data structures and sorting algorithms. Integrated with IntelliJ IDEA, it streamlines hands-on coding practice and proficiency development.

Provides a comprehensive framework for modeling network API responses, featuring a type-safe method that simplifies the handling of success and failure cases without exceptions. This solution seamlessly integrates with Retrofit to enhance error management through Kotlin sealed types. It also supports customizable error handling for polymorphic and decoded error responses and includes retry strategies with exponential backoff. Engineered for multiplatform adaptability, it extends efficient API response modeling beyond Retrofit.

Store5 features a sophisticated typed repository system that facilitates efficient data flow between local and network sources. It supports CRUD operations, crucial for maintaining data consistency, with components like Source Of Truth and Fetcher for data persistence and retrieval. The Updater, Bookkeeper, and Validator optimize synchronization, overseeing updates, metadata tracking, and data validity. Store5's multiplatform versatility supports Android among other platforms, proving it an adaptable solution for contemporary apps. The user-friendly StoreBuilder accelerates setup, enabling developers to efficiently construct and manage tailored data stores.

Akkurate simplifies complex business logic validation with its expressive Kotlin declarative API. By eliminating the need for cumbersome annotations and custom constraints, it allows writing clear and maintainable validation code. The library includes a comprehensive DSL, essential constraints, and is highly extendable, supporting both synchronous and asynchronous data validation across various platforms. Despite being under active development, Akkurate offers migration guides for potential changes and integrates seamlessly with popular frameworks, ensuring validation is both efficient and straightforward.

This open-source resource provides a structured pathway for aspiring developers, spanning web fundamentals, software design patterns, programming languages, and frontend development. It offers in-depth sections on essential tools such as Git, Docker, and Kubernetes, while also addressing software architecture, persistence, monitoring, and information security. Suitable for new developers beyond FLYERALARM's team, this guide invites contributions through Pull-Requests.

Exposed is a SQL library implemented in Kotlin, providing a lightweight overlay to JDBC with features like typesafe DSL and DAO. Supporting multiple databases such as H2, MariaDB, and Postgres, it facilitates easy database transitions without fixed dependencies. Its modules, including exposed-core and exposed-java-time, enhance SQL operations, encryption, and temporal data handling. Exposed is suitable for use in Spring Boot, offering an alternative to Hibernate, with comprehensive documentation available along with support on Slack and YouTrack.

Kover provides essential tools for measuring test coverage in Kotlin projects on JVM and Android. It includes Gradle and Maven plugins, a CLI, and JVM agents for detailed analysis. The Gradle plugin facilitates HTML/XML reporting and verification to enhance code quality across Kotlin and Java projects, supporting seamless setup through plugins DSL for both single and multi-project environments.

Discover how kotlinx-io delivers key input-output capabilities through its adaptable Buffer class in a Kotlin library. Inspired by Okio but tailored for unique functionality, it provides access to both mutable and immutable data formats, alongside sources, sinks, and experimental filesystem functions. Perfect for multiplatform development with Gradle or Maven integration, it maintains an evolving API. Ensure efficient data handling across multiple platforms, including Android 5.0+ compatibility.

The Kotlin-based Markdown processor facilitates multiplatform client and server processing, providing consistent output. It is easily extensible and supports a range of Markdown flavors, functioning well with JVM, JS, and Native targets. Available on Maven Central, it can be seamlessly integrated into various projects. Suitable for HTML generation and syntax highlighting, this processor allows independent management of parsing and generating tasks, enabling customization according to diverse requirements.

Pokedex is a modern Android development project demonstrating the use of MVVM architecture with Hilt for dependency management, and Jetpack components like Room and ViewModel. It highlights asynchronous processing with Coroutines and Flow, showcases efficient app architecture practices, and supports offline functionality. Notable features include strong API integration with Retrofit2 and strategic modularization to enhance code reuse and parallel development.

The app, initially created for reading application network narration, integrates Microsoft interfaces, enables HTTP request customization, and allows local TTS engine imports. It also supports narrative/dialog recognition using Chinese quotes, along with features like automatic retries and backup configurations, making it a versatile tool for text-to-speech needs.

The xef library offers tools to integrate AI components such as LLMs and image generation into applications, facilitating easier adoption. Core features and optional integrations support seamless service compatibility, inspired by projects like LangChain and Hugging Face. Users should note possible data transmission to external services and ensure data privacy. Available on Maven Central under 'com.xebia', it includes examples to ease the learning process.

This project showcases modern Kotlin development for Android, focusing on modular, scalable, and testable architectures. It adheres to best practices with MVVM and S.O.L.I.D. design principles, utilizing tools like Retrofit, Dagger2, and Coroutines. Designed for large-scale applications, it supports long lifecycle management. Features include dark theme and responsive design, making it a comprehensive guide for advanced modularization and architecture patterns.

This modern image loading library for Android and Compose Multiplatform prioritizes speed and efficiency by utilizing memory and disk caching, downsampling, and request management features. Optimized for Kotlin, it integrates seamlessly with contemporary libraries like Compose and Coroutines, ensuring ease of use with its straightforward API. Leveraging the power of Google's R8, it remains lightweight, with minimal dependencies. It is a suitable option for developers looking for a powerful, modern solution to image handling challenges. Coil shines in scenarios where low overhead and fast image processing are essential, such as in high-performance multimedia applications or when dealing with large image datasets.

Konsist is a linter tool aimed at maintaining consistent architecture in Kotlin projects by utilizing unit tests through JUnit or Kotest. It helps in enforcing a unified code structure through checks on class names, package layouts, and architecture layer dependencies. Easily set up with Gradle or Maven, users can refer to comprehensive documentation and practical examples to familiarize themselves with its API and usage scenarios. Join discussions on Slack or GitHub for community insights or contribute to this Apache 2.0 licensed open-source initiative.

Discover modern Android development techniques with a focus on modular and scalable architecture. This project serves as a detailed example of an Android application using essential tools like Kotlin, Jetpack Compose, and Clean Architecture. It emphasizes maintainability and testability, providing guidance for larger teams in long-term projects. Features include Retrofit for networking, Koin for dependency injection, and GitHub Actions for CI.

Norris is a platform showcasing advanced Android infrastructure and testing tools, enabling search and share features for Chuck Norris facts with personalized suggestions. It utilizes tools like Maestro Cloud and Emulator.wtf for testing, ensuring application security with AppSweep. Related blog posts on Android screenshot testing and HTTP resilience further demonstrate its practical value for developers exploring innovative Android techniques.

Discover diverse Android TV projects designed to speed up app development with Kotlin and Java. This repository offers practical projects such as AccessibilityDemo for TV accessibility, ClassicsKotlin for classic video display, and various apps using Jetpack Compose for TV Libraries like TvMaterialCatalog and JetStreamCompose. It includes Leanback samples demonstrating basic to advanced features of the Leanback SDK. ReferenceAppKotlin highlights broad integrations with Android TV and Google TV. Start by cloning the repository and explore these samples in Android Studio to enhance knowledge in developing robust Android TV applications.

This compile-time dependency injection library for Kotlin automates component generation, making code more readable and reducing the need for manual configuration. Featured elements include component arguments, qualifiers, type alias support, scopes, and function injection. Users enjoy benefits like multi-bindings, default arguments, assisted injection, and lazy initialization. Compatible with Kotlin Symbol Processing (KSP), it allows for Javax annotations, easing transitions. Perfect for building scalable Kotlin applications, the project is suited for various scenarios such as Android and multiplatform projects, complete with detailed documentation and samples.

Koin offers a lightweight solution for dependency injection tailored for Kotlin, streamlining application development from Android to multiplatform projects. The framework's clear DSL and APIs enhance maintainability, backed by extensive community and long-term support. Stay updated with the latest resources and contribute via their vibrant community.

Mockito-Kotlin is a compact library that enhances the integration of Mockito with Kotlin for efficient testing. Available on Maven Central, it allows simple Gradle implementation and supports different Kotlin versions. Designed for developers seeking efficient testing processes, it offers features like mock creation and action verification. Adhering to SEMVER standards, it includes a comprehensive test suite. Developed initially by nhaarman and now part of Mockito's official GitHub organization, further details are available on their Wiki.

This Kotlin compiler plugin provides an efficient way to redact sensitive details in `toString()` outputs, offering enhanced data privacy. Through the `@Redacted` annotation, it conceals confidential properties, supporting JVM, JS, and native targets. With its easy integration via Gradle, customization of redaction behaviors is straightforward. Although IDE support is unstable, it effectively protects sensitive data within logs or interfaces for multiplatform projects.

Ketch is an Android downloader library utilizing WorkManager for seamless downloads, supporting all file types with pause and resume capabilities. It provides robust support for large file downloading, parallel operations, and detailed progress tracking. Built for Kotlin, it offers custom configurations for network and notifications, enhancing efficiency and user experience.