Awesome GitHub RepositoriesSet Data Structures

Dragonfly is a high-performance, multi-model in-memory data store designed to serve as a drop-in replacement for existing database infrastructures. By utilizing a multi-threaded, shared-nothing architecture and a fiber-based concurrency model, it maximizes CPU utilization and minimizes latency for read and write operations. The system supports a wide range of data structures, including strings, hashes, lists, sets, sorted sets, and JSON documents, while maintaining full compatibility with standard industry wire protocols and client libraries. What distinguishes Dragonfly is its focus on effic

This project is a computer science educational resource and a library of common data structures and algorithms implemented in Swift. It serves as a practical reference for studying complexity and efficiency through solved algorithmic problems and conceptual guides. The collection includes implementations of linear and hierarchical data structures, such as stacks, queues, linked lists, and trees. It covers a wide range of computational patterns, including graph and pathfinding implementations, mathematical numerical methods, and data compression techniques. The project also provides implement

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

Python is a high-level, interpreted programming language designed for readability and versatility. It operates via a bytecode-based virtual machine and manages memory automatically through reference-counting garbage collection. The language supports multiple programming paradigms, including object-oriented, imperative, and functional styles, and provides a comprehensive standard library for system operations, networking, and data handling. The language is distinguished by its dynamic nature, allowing for runtime object introspection and metaclass-driven class creation. It utilizes protocol-ba

This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin

core-js is a comprehensive compatibility layer and standard library polyfill that implements ECMAScript proposals and stable language features across diverse JavaScript runtimes. It serves as a runtime environment shim to ensure consistent execution of global objects, iteration protocols, and standard library methods in older browsers or non-browser environments. The project is distinguished by its delivery models, offering both prototype-based global polyfilling and a pure-module implementation. This allows for the integration of modern functionality without modifying global prototypes to pr

This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha

This project is an educational resource designed for learning the Python programming language. It serves as a tutorial repository and programming guide, providing a collection of annotated scripts, code examples, and cheatsheets to help users master syntax and core fundamentals. The resource focuses on moving from basic language syntax to advanced implementation, with a particular emphasis on object-oriented programming, the use of the Python standard library, and scripting automation for business workflows. The content covers a broad range of programming capabilities, including control flow

Cayley is a graph database engine designed for storing and querying interconnected data using a quad-based data model. It functions as an RDF quad store, managing information through subjects, predicates, objects, and labels. The system features a modular graph store architecture with pluggable backends, allowing it to swap between in-memory storage and various external persistent databases. It includes a GraphQL-inspired API and a dedicated data visualizer for the interactive exploration of nodes and edges. Query capabilities cover bidirectional path traversal and multi-syntax execution usi

Rete is a framework for building interactive, node-based visual interfaces and dataflow programming environments. It provides a core engine that processes directed graphs, allowing developers to define modular logic where nodes represent operations and connections represent the flow of data or control. By decoupling the graph logic from the user interface, the framework enables the creation of custom visual editors that can be integrated into various frontend component libraries. The project distinguishes itself through a highly extensible, signal-driven architecture that supports complex req

Garnet is a multi-threaded in-memory database and distributed key-value store. It functions as a high-performance remote cache store that implements the RESP wire protocol to maintain compatibility with existing Redis clients and libraries. The project is distinguished by a shared-memory architecture that enables parallel request processing across multiple cores for sub-millisecond latency. It features a tiered storage system that automatically offloads colder data from system memory to SSD or cloud storage layers, and includes a specialized vector search database for high-dimensional similar

phpredis is a C-based native extension that bridges PHP applications with Redis servers for high-performance data storage and retrieval. It serves as an interface for manipulating strings, hashes, lists, sets, and sorted sets while providing a direct path for executing Redis commands and server-side scripts. The extension provides comprehensive support for distributed environments and high availability. It interfaces with Redis Cluster to distribute data across multiple nodes using hash slots and manages Redis Sentinel for service discovery and automatic failover. It also enables shared state

pysheeet هي مكتبة مرجعية تقنية توفر مجموعة مختارة من مقتطفات التعليمات البرمجية وأنماط التنفيذ لتطوير Python المتقدم، وتكامل النظام، والحوسبة عالية الأداء. تعمل كدليل شامل لتنفيذ برمجة الشبكات منخفضة المستوى، وإضافات C الأصلية، والبرمجة غير المتزامنة والمتزامنة. يوفر المشروع أطر عمل متخصصة لتطوير ونشر نماذج اللغات الكبيرة، بما في ذلك أدوات لاستنتاج GPU الموزع والخدمة عالية الأداء. يتضمن أيضاً أنماطاً مفصلة لتنظيم مجموعات الحوسبة عالية الأداء، وتغطية تخصيص موارد GPU وإدارة عبء العمل متعدد العقد. تغطي المكتبة سطحاً واسعاً من القدرات، بما في ذلك اتصالات الشبكة الآمنة والتشفير، والتعيين الكائني-العلائقي وإدارة قواعد البيانات، وتنفيذ هياكل البيانات والخوارزميات المعقدة. كما توفر أدوات لإدارة الذاكرة، وقابلية التشغيل البيني الأصلية عبر واجهات الوظائف الخارجية، وتكامل نظام التشغيل على مستوى النظام.

This project is a comprehensive library of practical Python code examples and patterns. It provides a collection of scripts and snippets designed to demonstrate a wide range of programming tasks, from basic syntax to advanced implementation patterns. The repository focuses on several core domains, including the implementation of concurrency and multithreading examples, data analysis snippets for cleaning and manipulating tabular data, and various data visualization examples. It also covers automation scripts for file system management and a variety of general programming patterns. Additional

JimuReport is an open-source reporting and dashboard engine designed to be embedded directly into Spring Boot applications. Its core identity centers on generating data reports and full-screen dashboards from natural language descriptions, eliminating the need for manual design. The platform also provides a conversational query interface that translates plain-language questions into database queries, returning results as tables and charts without requiring SQL knowledge. What distinguishes JimuReport is its integration of AI skills that can be installed with a single command, enabling report

go-datastructures is a collection of thread-safe and lock-free data structures designed for high-performance concurrent applications in Go. It provides a modular library of specialized algorithmic toolsets, including a lock-free collection library and an immutable data structure library. The project distinguishes itself through a suite of persistent AVL trees and hash array mapped tries that use branch-copying to preserve previous versions. It also implements non-blocking hash maps, queues, and tries that enable linearizable snapshots and concurrent updates without the use of mutual exclusion

Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer

يوفر هذا المشروع مجموعة منسقة من الكلمات الصينية عالية التردد وغير المعلوماتية المستمدة من المعايير الأكاديمية والصناعية. تعمل كمجموعة بيانات مرجعية ومجموعة كلمات توقف (stopwords) مصممة للاستخدام في مهام معالجة اللغة الطبيعية. يركز المستودع على معالجة النصوص الصينية لتقليل الضوضاء وتحسين دقة نماذج التعلم الآلي. ويوفر مجموعات بيانات مصفاة خصيصًا لاسترجاع المعلومات الصينية، والتحضير لتحليل المشاعر، وتنظيف البيانات العام. يستخدم المشروع معاجم مجمعة مسبقًا وتخزين ملفات مسطحة لتمكين تصفية كلمات التوقف الفعالة وتجميع المفردات للمتون الصينية.

هذا المشروع هو تنفيذ TensorFlow لإطار عمل ترجمة من صورة إلى صورة يعتمد على شبكات الخصومة التوليدية المشروطة. يوفر الأدوات لتدريب النماذج التي تعين صور الإدخال إلى صور الإخراج بناءً على أنماط بصرية متعلمة، بالإضافة إلى خادم لمعالجة طلبات ترجمة الصور وتقديم نقاط فحص النماذج المدربة لعملاء الويب. يتضمن إطار العمل نظاماً لتحويل أوزان النماذج المدربة إلى تنسيق محمول للاستدلال القائم على المتصفح. كما يتميز بعملية تحقق تولد تقارير مقارنة عن طريق تحليل مجموعات صور الإدخال والإخراج والمستهدفة باستخدام نقطة فحص مدربة. يغطي الكود المصدري خط الأنابيب الكامل من هندسة البيانات، بما في ذلك إعداد مجموعة بيانات الصور وخطوط الأنابيب القائمة على الأزواج، إلى التدريب الخصومي المشروط. يدعم تحويلات بصرية محددة مثل تلوين الصور ذات التدرج الرمادي وتوليد الصور الاصطناعية.

dplyr هي مكتبة لمعالجة البيانات في لغة R توفر قواعد لتحويل إطارات البيانات الجدولية. تعمل كمعالج لإطارات البيانات الموجودة في الذاكرة وأداة لجبر البيانات العلائقية، باستخدام مجموعة متسقة من الأفعال لتصفية البيانات واختيارها وتلخيصها. يتضمن المشروع محرك ترجمة SQL يقوم بتحويل تعبيرات معالجة البيانات عالية المستوى إلى استعلامات محسنة. يتيح ذلك للمستخدمين إجراء التحويلات مباشرة على قواعد البيانات العلائقية البعيدة والتخزين السحابي دون الحاجة إلى جلب البيانات محلياً. تغطي المكتبة مجموعة واسعة من العمليات الجدولية، بما في ذلك تعديل الأعمدة، وتحديد مجموعات فرعية من الصفوف، وربط البيانات العلائقية. كما توفر إمكانيات لتحليل البيانات المجمعة، مما يسمح بتقسيم مجموعات البيانات لإجراء عمليات تجميع وملخصات مستقلة.