8 रिपॉजिटरी
Frameworks for mapping application data structures to document-oriented database formats.
Distinguishing note: Specifically targets document-based storage models like MongoDB, distinct from relational ORM mapping.
Explore 8 awesome GitHub repositories matching data & databases · Document Database Modeling. Refine with filters or upvote what's useful.
Mongoose is an object data modeling library and framework for Node.js that maps application objects to MongoDB documents. It functions as a document mapper and schema validator, ensuring consistent data types and validation rules for records stored in MongoDB. The project provides a system for defining structured schemas to model application data, including the ability to create hierarchical data structures through nested schema composition. It implements a middleware-based hook system that allows for the interception and modification of data states during the lifecycle of database operations
Maps application objects to MongoDB documents using structured schemas for data type and validation enforcement.
Vapor is a comprehensive server-side web framework designed for building scalable, high-performance applications and APIs in Swift. It provides a non-blocking, event-loop-based runtime that manages concurrent task processing, background job queues, and asynchronous request handling. The framework is built around a dependency injection container that manages the lifecycle and resolution of services, configurations, and database connections throughout the request pipeline. The framework distinguishes itself through a protocol-oriented design that emphasizes type safety across all layers of the
Model data for document-based storage using custom identifiers, nested structures, and flexible document fields while maintaining the standard database-agnostic interface.
Open-IM-Server is an instant messaging server and cross-platform messaging backend designed for real-time text and media communication. It provides a distributed chat architecture that coordinates user sessions and group communications across multiple server nodes to support millions of concurrent users. The system features a scalable message distribution model that utilizes asynchronous message pipelines and distributed queueing to maintain reliability during traffic spikes. It employs multi-level data caching across local memory and distributed stores to reduce latency and uses a document-b
Employs a document-based data model to store flexible, semi-structured information for diverse message types.
The mongo-go-driver is a Go library for building applications that integrate with a MongoDB document store. It enables the storage and retrieval of flexible document data by providing a bridge between Go backends and the database. The driver implements specialized capabilities for semantic vector search, allowing the handling and execution of high-dimensional vector data for similarity-based retrieval. It also supports full-text search via linguistic analysis and programmatic search index management. The project covers a broad range of database operations, including document-based CRUD, bulk
Supports a flexible document data model to reduce operational complexity and ensure scalability.
This project is a MongoDB database driver and object-relational mapper that brings MongoDB support to the Laravel Eloquent model and query builder. It provides a NoSQL model mapper that allows MongoDB collections to be mapped to object-oriented models using the Active Record pattern. The integration enables the use of a fluent query builder for constructing queries and aggregation pipelines without writing raw database syntax. It supports schema-less model integration, allowing applications to manage unstructured data while maintaining compatibility with standard object-oriented patterns. Th
Maps application data structures to MongoDB documents using the Active Record pattern.
This project is a MongoDB Eloquent ORM and NoSQL query builder for the Laravel framework. It provides an active record implementation that maps MongoDB collections and documents to programmable models for data manipulation. The system enables schemaless data management, allowing applications to handle dynamic data structures without the need for rigid database migrations or predefined tables. It integrates MongoDB into Laravel applications to store and retrieve flexible document data using standard PHP patterns. The library covers document store querying and Eloquent model mapping, utilizing
Maps MongoDB document structures to an object-oriented model system for seamless data manipulation.
यह प्रोजेक्ट एक फुल-स्टैक वेब एप्लिकेशन और सर्वर-साइड रेंडर किए गए ब्लॉग का एक संदर्भ कार्यान्वयन (reference implementation) है। यह Mongoose ऑब्जेक्ट डॉक्यूमेंट मैपर का उपयोग करके MongoDB डेटाबेस के साथ Node.js और Express सर्वर के एकीकरण को प्रदर्शित करता है। एप्लिकेशन में एक पूर्ण यूजर ऑथेंटिकेशन सिस्टम है जो OAuth के माध्यम से लोकल क्रेडेंशियल्स और बाहरी आइडेंटिटी प्रोवाइडर्स को सपोर्ट करता है। इसमें सेशन मैनेजमेंट और सुरक्षा उपाय जैसे क्रिप्टोग्राफ़िक पासवर्ड हैशिंग और क्रॉस-साइट रिक्वेस्ट फ़ॉर्जरी (CSRF) से सुरक्षा शामिल है। यह सिस्टम कंटेंट मैनेजमेंट क्षमताओं की एक विस्तृत श्रृंखला को कवर करता है, जिसमें लेख लिखने और कम्युनिटी कमेंट्स को मैनेज करने के लिए वर्कफ़्लो शामिल हैं। यह डायनामिक HTML व्यूज़ उत्पन्न करने के लिए सर्वर-साइड टेम्पलेट रेंडरिंग का उपयोग करता है और क्लाउड स्टोरेज व एनवायरनमेंट-आधारित क्रेडेंशियल मैनेजमेंट के लिए कॉन्फ़िगरेशन शामिल करता है। यह प्रोजेक्ट वेब सर्वर और डेटाबेस को ऑर्केस्ट्रेट करने के लिए Docker का उपयोग करके एक कंटेनराइज़्ड डिप्लॉयमेंट मॉडल प्रदान करता है।
Uses Mongoose to define structured schemas for mapping JavaScript objects to MongoDB documents.
This project is an object persistence library and data mapper abstraction layer. It provides a set of shared interfaces and base classes designed to decouple domain logic from specific object mapper implementations, separating the business domain layer from the underlying data access implementation. The library includes a database schema management and migration tool for defining, versioning, and deploying incremental updates to database structures across different environments. It also functions as a document database mapper, translating object states into structured document formats for sto
Provides a framework for mapping application data structures to document-oriented database formats.