Open-source alternatives to HanekeSwift

AlamofireImage is an image downloading and caching library designed as an extension for Alamofire. It provides a serialization framework to convert network responses into image objects and a memory-based caching system to reduce redundant network requests. The project features a variant-aware asynchronous cache that stores both original images and their filtered versions separately. It includes tools for animating the replacement of placeholder images with downloaded content through various transition effects. The library covers image acquisition through parallel downloading and prioritized

This project is a comprehensive library of reusable React hooks designed to simplify browser API integration, state management, and component lifecycle tracking. It provides a declarative interface for managing complex browser interactions, allowing developers to encapsulate imperative logic into modular, composable functions that integrate directly with the component lifecycle. The library distinguishes itself by offering specialized utilities for asynchronous data orchestration, including built-in caching, retry logic, and loading state management. It also features advanced performance opti

jscamp is a full-stack web development and education project focused on mastering JavaScript, TypeScript, and AI integration. It provides a structured curriculum and interactive exercises covering language fundamentals, frontend engineering, and backend API development. The project distinguishes itself through the implementation of autonomous AI agents capable of complex task automation, such as modifying files, managing servers, and executing API calls. It includes advanced AI development tools for conversational querying, real-time code suggestions, and automated repository analysis to gene

This project is a disk-backed key-value store and persistent data structure library for Python. It provides a mechanism for persisting mappings, sets, and queues to the local filesystem to bypass memory limitations and cache expensive function results across threads and processes. The system serves as a cross-process synchronization tool, offering distributed locks, semaphores, and barriers to coordinate shared resource access. It implements advanced caching strategies such as probabilistic stampede prevention, sharded data partitioning to increase throughput, and least-recently-used eviction

node-lru-cache is a key-value store for Node.js that implements a memory-limited cache. It prevents memory exhaustion by capping the total number of items or total byte size, automatically evicting the least-recently-used items to maintain these limits. The project provides specialized caching patterns, including time-to-live durations to ensure data freshness and a stale-while-revalidate mechanism that serves expired content while asynchronously fetching updates in the background. It also includes diagnostic tools for monitoring cache hits, misses, and eviction metrics through operational st

This project is a browser extension and metadata tool designed to restore the visibility of dislike counts on YouTube videos. It functions as a client-side video enhancer that modifies the web interface to display engagement statistics that are otherwise hidden. The tool restores these metrics by combining archived data and user votes with statistical extrapolations. This data is retrieved via a public API using unique video identifiers to help users evaluate video content and identify low-quality or misleading videos. The extension utilizes content scripts and client-side patching to inject

Mooncake is a disaggregated large language model serving platform and distributed key-value store designed for high-performance inference infrastructure. It functions as a GPU memory orchestrator and KV cache management system that pools and transfers key-value caches across clusters to accelerate inference. The system distinguishes itself by separating the prefill and decode phases of inference into distinct hardware clusters to optimize resource utilization. It utilizes a high-performance RDMA distributed cache with zero-copy transfers to move data between compute nodes, bypassing the CPU t

Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

Olric is a distributed data grid and in-memory key-value store that partitions and replicates data across a cluster of servers. It serves as a shared memory system for managing distributed maps, performing atomic operations, and acting as an in-memory data cache. The system provides a distributed locking mechanism for concurrency control and a pub-sub messaging system that broadcasts and routes messages over named channels across the cluster. The platform covers wide-ranging capabilities including cluster management and orchestration, data replication with configurable quorums, and automated

LMCache is a distributed key-value cache manager and tiering system designed to accelerate large language model inference. It functions as a tiered storage layer that offloads tensors from GPU memory to CPU RAM, local disks, or remote object stores, enabling the reuse of cached prefixes across different inference sessions and serving engines. The system differentiates itself through a disaggregated prefill-decode model, which separates prompt processing from token generation by transferring caches between distributed compute nodes. It utilizes peer-to-peer orchestration to share and retrieve

LeetCode-Swift is a collection of algorithm solutions written in Swift, designed for coding interview preparation. Each solution is implemented as a self-contained function with no external dependencies, making it easy to run and test. The repository organizes solutions by topic and company, and every file includes time and space complexity annotations, allowing quick evaluation of algorithmic efficiency. What sets this repository apart is its flat file structure and the way solutions are tagged with the companies that asked them in interviews, enabling targeted practice. All code resides in

Joyagent-jdgenie is an automated data orchestrator designed to centralize the retrieval and processing of information from disparate remote sources. It functions as a framework for building repeatable data pipelines that fetch, clean, and normalize raw input into consistent, structured formats. The system utilizes a schema-driven engine to apply validation rules and structural templates to incoming data, ensuring compatibility across enterprise systems. By employing configuration-based workflow definitions, it allows for the orchestration of modular tasks into automated execution flows, separ

This project is a comprehensive Java backend engineering guide and technical reference focused on high-concurrency design, distributed systems, and microservices architecture. It provides detailed strategies for decomposing monolithic applications, managing service discovery, and implementing the architectural patterns required for scalable backend environments. The repository distinguishes itself through an extensive collection of big data algorithmic references and database scaling strategies. It covers memory-efficient techniques for analyzing massive datasets, such as Top-K element extrac

This project is a comprehensive educational curriculum and resource for full-stack web development. It provides a structured collection of source code, implementation guides, and practical exercises designed to teach core front-end and back-end programming principles, including database connectivity and interface design. The repository serves as a practical guide for building integrated web applications using modern JavaScript frameworks. It demonstrates essential development patterns such as component-based user interface composition, reactive state management, and asynchronous data fetching

Haxl is a Haskell library and remote service request orchestrator designed for coordinating concurrent data fetching, request batching, and caching across multiple remote service providers. It functions as a framework for retrieving data from external databases and web services while minimizing network round trips. The project distinguishes itself through an applicative-based request batching system that groups multiple individual data requests into single calls to reduce network overhead. It employs an asynchronous parallel request scheduler to execute independent requests concurrently and u

mescroll is a JavaScript infinite scroll library and mobile web scroll manager designed to implement pull-to-refresh and pull-up-loading patterns. It provides a system for handling touch-based scrolling, managing pagination states, and integrating these behaviors within Vue applications. The library distinguishes itself through specialized support for chat interfaces, enabling reverse-order data loading and the ability to inject data in a reverse direction to simulate message histories. It also includes a state-persistent scroll cache to preserve vertical offsets and list data when users navi

PikiwiDB is a distributed NoSQL database and disk-based key-value store that serves as a Redis-compatible protocol server. It is designed to handle datasets larger than available system memory by utilizing a persistence engine that stores the full dataset on disk. The system employs a tiered storage model, caching frequently accessed hot data in memory while maintaining the primary volume on disk. It ensures high availability through a replicated data store architecture, using asynchronous binary logs to synchronize data between primary and secondary nodes. The project supports distributed d

FastHub is a native Android mobile client designed for managing GitHub repositories, issues, and pull requests. It provides a visual interface for interacting with Git version control, acting as a repository manager for editing files, tracking project milestones, and handling account administration from a handheld device. The application supports multi-account authentication, allowing users to connect via tokens or passwords to access different user profiles and enterprise accounts. It distinguishes itself with offline repository browsing, utilizing local database caching to view project data

A collection of iOS components.

CloudReader is an Android music client designed for streaming music and consuming cloud content. It is implemented as a Material Design application that provides a specialized interface for cloud music streaming and digital media browsing. The application features a cloud music streaming interface and a content browsing system for exploring articles, community forums, and question-and-answer sections. It includes utilities for content search, query history tracking, and the generation of desktop shortcuts for quick access to specific application sections. The system supports visual customiza

This project is a technical study resource and interview preparation guide focused on the React library. It provides a comprehensive frontend interview question bank and concept references designed to help developers master core library primitives and prepare for professional job interviews. The resource covers detailed explanations of React's technical architecture, including state management patterns, performance optimization strategies, and component design. It serves as a knowledge assessment tool for developers to test their understanding of modern frontend engineering through a structur

Tabulator is an interactive data table library and virtual DOM data grid used to create high-performance tables from JSON or arrays. It functions as a hierarchical data viewer and a spreadsheet interface component, capable of rendering thousands of records efficiently through viewport-based virtualization and progressive loading. The library distinguishes itself by providing a full spreadsheet interface mode with multi-sheet management, cell range selection, and bulk copy-paste capabilities. It supports complex data architectures, including nested data field mapping, expandable tree structure

MovieSwiftUI is a movie discovery application built with SwiftUI that integrates with the MovieDB API to retrieve and display movie information, ratings, and metadata. It functions as a cross-platform Apple application, providing a consistent user experience across iOS and macOS from a single codebase. The project implements a reactive data flow using Combine to synchronize global application state with the user interface. It employs a unidirectional data flow and a centralized store to maintain a single source of truth across different screens and components. The application utilizes declar

Isomorphic-git is a full implementation of the Git version control system written in JavaScript. It serves as a programmatic client library that allows developers to perform core version control operations without requiring a system-level Git binary installation. The library is designed as an isomorphic codebase, meaning it runs identically across both client-side web browser environments and server-side Node.js runtimes. It achieves this by using a filesystem-agnostic storage model and a pure JavaScript implementation of the Git core logic and the Smart HTTP protocol. The project covers a c

This project is a comprehensive collection of web development exercises and application concepts designed to help developers practice and improve their technical proficiency. It serves as a curated resource for building diverse software projects, ranging from simple utility tools to complex, interactive web applications that demonstrate core programming and interface design skills. The repository distinguishes itself by providing a wide array of practical implementation challenges that cover the full spectrum of frontend and full-stack development. Users can engage with tasks that require man

DeepDanbooru is a deep learning tool for tagging anime-style images with Danbooru-style tags. It uses a pre-trained convolutional neural network to analyze images and predict tags identifying characters, attributes, and artwork details. The project provides a complete pipeline for training custom tag recognition models. Users can prepare datasets by downloading tag definitions from a remote Danbooru server using authenticated API requests, then store image-tag pairs in a structured SQLite database. The training workflow supports filtering datasets by rating or score criteria, configuring hype

JMComic-Crawler-Python is a high-performance asynchronous web scraper and API client designed to programmatically retrieve images and metadata from a comic hosting service. It functions as a media archiving tool for batch downloading albums and chapters, automating the process of saving content to a local filesystem. The project is distinguished by its ability to reverse server-side pixel obfuscation, using a decryption tool to reconstruct sliced and shuffled images. To maintain stable connectivity, it utilizes a network bypass utility featuring dynamic domain rotation and proxy routing to ci