Awesome GitHub RepositoriesDatabase Statistics Retrieval

This project is a MySQL database driver and client for Node.js. It provides a JavaScript implementation of the MySQL protocol to facilitate connecting to, querying, and managing data within MySQL databases. The driver includes a connection pool manager to maintain a cache of reusable database connections, reducing the overhead of frequent network handshakes. It also supports row-by-row result streaming to process large datasets without loading entire result sets into memory. Core capabilities cover SQL query execution, the management of database transactions, and the coordination of multiple

InsForge is a backend-as-a-service platform that provides an integrated suite of tools for managing relational databases, identity provision, object storage, and serverless compute. It functions as an open-source identity provider and a PostgreSQL database manager featuring integrated vector storage and row-level security. The platform serves as an LLM orchestration gateway, offering a unified endpoint to route requests across various AI providers through an OpenAI-compatible interface. It enables AI-driven application generation and connects AI agents to backend resources using a standardize

Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations

LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters

Orange3 is a visual data mining platform that provides an interactive canvas for building data analysis workflows without writing code. At its core, it offers a widget-based visual programming environment where users connect configurable components to perform data preprocessing, machine learning model training, statistical evaluation, and interactive visualization. The platform is built on NumPy-backed data tables with domain descriptors that define variable names, types, and roles, and includes a lazy SQL query proxy for working with database tables without loading all data into memory. The

OpenTSDB هي قاعدة بيانات موزعة للسلاسل الزمنية ومحرك مقاييس مصمم لتخزين وإدارة أحجام هائلة من مقاييس النظام عالية التباين. تعمل كمخزن بيانات ومنصة تحليلات تتيح استيعاب المقاييس على نطاق واسع ومراقبة أداء البنية التحتية عبر مجموعة موزعة. يتميز النظام بتجريد تخزين موزع يدعم خلفيات متعددة مثل HBase و Cassandra و Google Bigtable. يستخدم شجرة مقاييس هرمية لتنظيم السلاسل الزمنية ويستخدم فهرسة المعرفات الرقمية لتقليل بصمات التخزين وتسريع عمليات البحث للمقاييس الموسومة. يغطي المشروع مجالات قدرات واسعة بما في ذلك تحليل بيانات السلاسل الزمنية مع حسابات النسبة المئوية الموزعة وأخذ العينات الفرعية، بالإضافة إلى إدارة شاملة للبيانات الوصفية. يوفر دمج واجهة برمجة التطبيقات لاستيعاب البيانات والاستعلام، وتخزين مؤقت خارج الكومة (Off-heap) لتحسين الأداء، وأدوات لتدقيق سلامة البيانات وتحليل الشذوذ. يتم إدارة النظام عبر واجهة سطر أوامر لإدارة قاعدة البيانات ومزامنة شجرة المقاييس.

Zombodb is a database extension and relational data indexer that integrates PostgreSQL with Elasticsearch. It provides a SQL search interface, allowing users to execute complex search queries and aggregations using standard SQL functions and syntax instead of native JSON APIs. The project synchronizes relational data from PostgreSQL to a remote search engine to enable high-performance full-text search and analytics. The system distinguishes itself by bridging relational structures with search engine capabilities, specifically through geospatial search integration for geometry and geography ty

Gravitino is a federated metadata lake and unified data catalog designed to manage tables, files, and AI models across diverse data sources and cloud storage. It serves as a centralized interface for governing schemas, access controls, and tagging across relational databases, messaging queues, and object stores. The project distinguishes itself by unifying the management of AI assets, such as machine learning models and their version lineages, alongside traditional tabular data. It also implements the Iceberg REST specification to provide a standardized metadata server and proxy for lakehouse