Awesome GitHub RepositoriesArray Difference Computation

es-toolkit is a JavaScript utility library and TypeScript data transformation toolset designed as a high-performance alternative to traditional utility suites. It serves as a tree-shakable module library and a compatibility layer for those migrating from legacy dependencies by mirroring established function signatures. The project is specifically optimized for AI code generation, providing structured documentation and specialized skill sets to improve the accuracy and discoverability of its functions for AI coding assistants. Its architecture focuses on a zero-dependency core and modular expo

30 Seconds of Python is a curated collection of short, reusable Python code snippets designed for quick reference and immediate reuse. It provides an interactive browser that lets you explore snippets organized by tags, search across names and descriptions, and copy code to your clipboard with a single click. The collection covers a broad range of common programming tasks, including list and dictionary operations, string formatting and manipulation, date and time calculations, and color format conversion. It also includes utilities for data transformation, such as converting between case styl

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

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

Shapely ist eine Bibliothek für die Manipulation und Analyse planarer geometrischer Objekte und dient als Python-Wrapper für die GEOS-C++-Engine. Sie bietet ein Framework zur Berechnung geometrischer Eigenschaften, zur Bewertung räumlicher Beziehungen und zur Durchführung topologischer Prädikate innerhalb einer kartesischen Ebene. Das Projekt zeichnet sich durch einen vektorisierten Geometrie-Prozessor aus, der räumliche Operationen über große Arrays von Formen hinweg ausführen kann, um den Durchsatz zu erhöhen. Es enthält zudem ein räumliches Indizierungssystem auf Basis von R-Trees, um den Abruf sich schneidender Geometrien und nächstgelegener Nachbarn zu beschleunigen. Die Bibliothek deckt ein breites Spektrum an Funktionen ab, darunter geometrische Mengenoperationen zur Berechnung von Vereinigungen und Schnittmengen, Serialisierung räumlicher Daten zwischen Formaten wie GeoJSON und Well-Known-Text sowie Tools zur Validierung und Reparatur der Geometrietopologie. Sie unterstützt zudem geometrische Transformationen, Buffering und die Generierung konvexer Hüllen oder Voronoi-Diagramme.