Open-source alternatives to Swift Algorithms

This PHP data collection library is a functional data wrapper and array manipulation framework. It converts arrays, JSON strings, and iterables into chainable collection objects designed for advanced filtering, sorting, and transformation. The library is distinguished by its ability to dynamically extend functionality through the registration of custom methods via closures. It also provides specialized capabilities for hierarchical data modeling, allowing flat datasets with parent-child identifiers to be reconstructed into nested tree structures. The toolkit covers a broad surface of data ma

Toolz is a Python library that implements functional programming utilities for iterable transformation, dictionary manipulation, function composition, and lazy evaluation. It provides a set of pure functions designed to work with Python's built-in data structures, enabling concise and composable data processing workflows. What distinguishes toolz is its support for curried partial application, allowing functions to be incrementally applied and reused. It includes dictionary-centric operations that handle nested structures, and offers iterable chain transformers that combine mapping, filtering

This project is a curated educational resource and solution repository for algorithmic challenges, specifically focused on LeetCode problems. It serves as a technical reference for common data structures and algorithmic patterns, providing verified code implementations across multiple programming languages alongside detailed logic and complexity analysis. The repository functions as a comprehensive study guide for competitive programming and technical interview preparation. It includes specialized learning tools such as an Anki flashcard dataset for spaced repetition and a browser extension t

Just is a collection of JavaScript utility libraries designed for data manipulation, functional programming, performance optimization, statistical analysis, and string processing. It provides a set of tools for deep cloning, filtering, and transforming complex objects and arrays. The project is structured as a series of zero-dependency modules, allowing utilities to be used independently to minimize bundle size. It implements functional programming patterns including currying, piping, and partial application, and provides execution control through memoization, debouncing, and throttling. The

This project is a comprehensive collection of common computer science algorithms and data structures implemented in Swift. It serves as an educational reference and library for studying computational complexity, algorithmic logic, and data structure engineering through practical code examples. The repository provides a wide suite of data structure implementations, including various types of linked lists, heaps, hash tables, and an extensive range of hierarchical trees such as Red-Black, B-Tree, and Splay trees. It also covers diverse sorting and searching techniques, from basic bubble sort to

SwiftTips is a curated collection of guides, libraries, and design patterns focused on Swift language mastery, application architecture, and API design. It provides a technical resource for implementing advanced coding techniques and architectural best practices. The project emphasizes creating type-safe and conversational interfaces through strategic protocol composition and generics. It offers specialized patterns for building modular UI systems and managing complex view hierarchies, alongside comprehensive strategies for unit testing and dependency injection. The resource covers a broad s

LogicStack-LeetCode is a curated repository of solved algorithm problems and data structure implementations, primarily drawn from the LeetCode platform. Its core identity is a structured collection of solutions designed to support technical interview preparation and competitive programming practice, with each solution accompanied by complexity analyses to help engineers understand performance trade-offs. The repository distinguishes itself through its breadth of coverage across fundamental algorithmic patterns and data structures. It includes implementations for array manipulation, string pro

language-ext is a functional programming framework for C# that provides a suite of immutable data structures and monadic types. It enables the implementation of pure functional programming patterns, utilizing containers to manage side effects, optional values, and error handling. The library is distinguished by its advanced concurrency and state management tools, including a software transactional memory system and lock-free atomic references. It also provides specialized utilities for distributed systems, such as vector clocks for causality tracking and deterministic data conflict resolution

collect.js is a dependency-free JavaScript library that provides a fluent, chainable interface for manipulating arrays and objects. It mirrors the Laravel Collection API, offering a consistent set of methods for data transformation across JavaScript and Laravel backend environments. The library stores collection data as plain arrays internally and supports fluent method chaining, where each method returns a new collection instance. The library distinguishes itself by closely replicating the Laravel Collection API in JavaScript, mapping each PHP method to an equivalent JavaScript implementatio

SwifterSwift is a collection of Swift extensions designed to reduce boilerplate code during the development of iOS and macOS applications. It provides a library of pre-made utilities that extend the standard library and system frameworks to streamline data manipulation, system integration, and user interface optimization. The project provides specialized tools for a wide range of development tasks. This includes image processing and binary translation, text string manipulation, and complex data management for arrays, strings, and dictionaries. It also offers utilities for network request mana

This is a C++ ranges library and extension to the Standard Template Library that provides a collection of composable algorithms and lazy views for processing data sequences. It functions as a lazy sequence processing framework and a template meta-programming library for manipulating type lists and performing compile-time type computations. The project enables functional programming patterns in C++ through the use of pipe syntax and partial application to create readable, left-to-right data transformation chains. It allows for the construction of lazy data pipelines that filter and transform e

This repository is a curated guide and implementation library of coding patterns used to solve data structures and algorithms problems. It serves as a technical interview study resource, providing a comprehensive set of strategies and computational logic examples for optimizing time and space complexity. The project focuses on standardized algorithmic patterns, including sliding windows, two pointers, and dynamic programming. It features specific implementations for a wide range of challenges, such as LeetCode problem solutions and specialized techniques like cyclic sort and bitwise XOR opera

more-itertools is a Python iterable utility library providing advanced functions for manipulating, filtering, and transforming data sequences. It serves as a data stream processing toolkit and a set of utilities for iterator state management, extending the capabilities of the standard Python itertools module. The library includes a combinatorial math toolkit for generating permutations, combinations, and powersets, alongside routines for number theory calculations and matrix operations. It also provides tools for stream state management, allowing users to peek at upcoming elements or seek wit

cppcoro is a C++ coroutine library and concurrency toolkit providing primitives for asynchronous tasks, lazy generators, and non-blocking execution. It functions as an asynchronous I/O framework for managing network sockets and file operations through an event loop. The library features a work-stealing thread pool for distributing tasks across multiple cores and a set of async generators for producing lazy sequences of values both synchronously and asynchronously. It includes a concurrency toolkit with async mutexes, latches, and shared tasks to coordinate multi-threaded execution. Its capab

coobjc is an Objective-C coroutine library that provides await methods and generators to simplify asynchronous programming in Objective-C and Swift. It enables the implementation of non-blocking workflows to eliminate nested callbacks and thread blocking. The toolkit includes a non-blocking Foundation wrapper to convert synchronous Foundation and UIKit APIs into suspendable operations. It provides a lazy sequence generator for producing values on demand via yield, as well as a channel-based communication tool for exchanging data between concurrent tasks using buffered and unbuffered channels.

This repository provides a collection of fundamental computer science algorithms and data structures implemented in Go. It serves as a technical reference and educational resource, offering reusable modules for common computational tasks including data organization, graph analysis, and numerical operations. The library distinguishes itself through the application of idiomatic Go patterns, utilizing generics for type abstraction and interface-driven polymorphism to ensure compile-time type safety. It emphasizes algorithmic efficiency by employing in-place memory mutation to reduce allocations

Radash is a TypeScript functional utility library designed for data transformation, validation, and workflow management. It provides a collection of typed helper functions to manipulate arrays, objects, and strings. The project features an asynchronous workflow toolkit for managing promises, retries, and concurrency limits, alongside a suite of boolean validators for verifying primitive types, objects, and promises. It also implements functional programming patterns such as function composition, partial application, and error-first response patterns. The library covers a broad surface of cap

Immer is an immutable state management library for JavaScript that enables the creation of new versions of state trees. It functions as a state container that uses a proxy-based handler to ensure data immutability. The library utilizes a copy-on-write mechanism and a draft-based mutation model. This allows users to write mutating code on a temporary proxy, which the system then uses to produce a new immutable result while keeping the original state unchanged. The project covers immutable state management and complex object cloning to facilitate predictable state transitions. These capabiliti

This project is a comprehensive container framework for Go that provides a suite of fundamental data structures and algorithms. It offers a standardized set of tools for managing, sorting, and traversing complex data collections, enabling developers to implement efficient storage and retrieval logic within their applications. The library distinguishes itself through an interface-driven design that allows for interchangeable use of different storage implementations. It supports custom ordering and sorting behavior through external comparison functions, which decouple the data structures from s

This project is an educational platform and tutorial series designed to teach the Go programming language through the practice of test-driven development. It provides a structured path for developers to master language fundamentals, concurrency, and standard library usage by building functional applications in small, verifiable increments. The core methodology centers on the test-driven development cycle, where failing tests are written before implementation to define requirements and ensure code correctness. This approach is applied across a wide range of practical scenarios, including the c

use-immer is a React hook library that provides an immutable state hook for updating complex state objects. It integrates Immer state management into the React component lifecycle, allowing developers to handle state transitions by modifying a draft object rather than manually copying state. The library enables the update of deeply nested data structures without the use of spread operators to copy every level of the state tree. It uses a mutation-based draft approach to ensure that the original state remains untouched while producing a new immutable version of the data. The project covers ge

Swift is a general purpose, compiled systems programming language designed for building high-performance software. It is a strongly typed language that focuses on memory safety and type safety to prevent runtime errors. The language is designed for native code integration, allowing it to interoperate with C and Objective-C libraries to leverage existing system functions and high-performance APIs. The project covers broad capabilities in type-safe application development and cross-platform toolchain engineering. It includes infrastructure for automated language validation, compiler performanc

This project is a Go algorithm implementation library and a reference for data structures. It serves as a collection of solved coding interview problems and an algorithmic pattern collection, providing a reference of over 100 common challenges implemented in Go. The library focuses on specific problem-solving strategies, including sliding windows, two pointers, and dynamic programming. It provides coded examples of standard sorting, searching, and graph traversal techniques to facilitate the study of algorithmic patterns. The repository covers a broad range of capabilities, including array a

kubectl-aliases is a Kubernetes CLI alias generator that programmatically creates shorthand shell commands for common cluster operations and resource management. It functions as a workflow optimizer designed to reduce typing and increase the speed of interactions with the Kubernetes API. The tool operates as a shell command permutator, combining verbs, resources, and flags to automate the creation of a comprehensive library of CLI shortcuts. It utilizes combinatorial mapping and template-driven scripting to generate these shorthand definitions. The project covers several operational areas, i

This project is a curated reference guide and cheatsheet for modern JavaScript development. It provides a collection of syntax and patterns covering ECMAScript standards, specifically focusing on contemporary language features from ES6 and later. The resource offers specialized guides on asynchronous JavaScript, functional programming patterns, and object-oriented design. It details the use of promises and async/await syntax for non-blocking operations, as well as the application of map, filter, and reduce for data transformation. The guide covers a broad range of language fundamentals, incl

Middleman is a Ruby-based static site generator and web framework used to transform templates and assets into standalone HTML, CSS, and JavaScript files. It functions as a multi-engine template processor and build tool, converting source markup into production-ready websites that can be hosted on any web server. The system is distinguished by a comprehensive asset pipeline that handles compression, minification, and fingerprinting to optimize web delivery. It features an extensible architecture with lifecycle hooks and a middleware-based request interception layer, allowing for the programmat

This project is an ECMAScript 2015 reference guide and JavaScript language cheat sheet. It provides a concise summary of the language specifications, syntax updates, and new features introduced in the 2015 standard. The guide serves as a technical overview of modern language patterns used to manage modular code structures and asynchronous operations. It functions as a reference for implementing current coding standards and studying core updates to the language. The content covers a wide range of capabilities, including asynchronous programming, object modeling, and module management. It deta