Awesome GitHub RepositoriesMulti-Model Databases

Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup

SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer

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 comprehensive educational guide and framework for building web scrapers using Python. It provides a course-based approach to data extraction, combining a Python crawler framework with tutorials on web reverse engineering and network traffic analysis. The project distinguishes itself by covering advanced extraction challenges, including the decryption of obfuscated JavaScript and the bypass of anti-scraping measures. It specifically addresses mobile application scraping through the simulation of user interactions and the interception of network traffic. The capability surfac

This project is a multi-model database system designed to store and manage information as documents, graphs, and key-value pairs within a single engine. It functions as a graph database and knowledge graph platform, providing the infrastructure to build, query, and visualize structured data models. By integrating vector search capabilities, the system serves as a vector database that supports retrieval-augmented generation for artificial intelligence applications. The platform distinguishes itself through a unified query language that allows users to perform document lookups, graph traversals

immudb is a tamperproof database that maintains an immutable record of entries using cryptographic commit logging. It ensures verifiable database integrity by utilizing Merkle trees to generate membership and consistency proofs that detect unauthorized data alterations. The system employs a multi-model storage engine that unifies key-value, document, and relational data structures within a single immutable backend. It provides compatibility with the PostgreSQL wire protocol, allowing it to integrate with standard SQL clients, ORMs, and database tools. The project covers broad capabilities in

This project serves as a comprehensive educational repository and technical reference collection, documenting a wide range of software engineering practices and modern development technologies. It provides a structured learning path for developers, curating tutorials and practical examples that cover the full lifecycle of application development, from initial project scaffolding to deployment and maintenance. The repository distinguishes itself by offering deep technical insights into complex architectural patterns, including actor-based concurrency models for managing parallel tasks and cont

TypeDB هو قاعدة بيانات رسومية ذات نوع قوي ونظام إدارة قاعدة بيانات معرفية. يعمل كمخزن بيانات متعدد النماذج يوحد الهياكل العلائقية والمستندية والرسومية في بيئة واحدة، ويعمل كقاعدة بيانات متوافقة مع ACID ومحرك استعلام تصريحي. يتميز النظام باستخدام نمذجة الرسم البياني الفائق (n-ary hypergraph) وتسلسلات هرمية للأنواع متعددة الأشكال. يستخدم مخططاً ذا نوع قوي لفرض القواعد الهيكلية والتحقق من سلامة البيانات، مما يسمح بالاستدلال متعدد الأشكال القائم على النوع وتعدد أشكال الواجهة القائم على الدور لحل العلاقات المعقدة تلقائياً أثناء تنفيذ الاستعلام. تغطي المنصة مجموعة واسعة من القدرات بما في ذلك حساب العلاقات العودية عبر الجدولة، ومعاملات عزل اللقطات، واسترجاع البيانات التصريحي. كما يدعم التوافر العالي من خلال تكرار الكتلة القائم على الإجماع، والتحكم في الوصول القائم على الدور، والتكامل مع وكلاء الذكاء الاصطناعي لاسترجاع البيانات المهيكلة. يتم دعم الإدارة عبر واجهة سطر أوامر، ويوفر النظام أدوات لتصور مخططات الرسوم البيانية وتدقيق النشاط الإداري.