4 مستودعات
Abstraction layers that standardize communication between application logic and backend services.
Distinguishing note: Focuses on the architectural pattern of unifying backend communication rather than specific database drivers.
Explore 4 awesome GitHub repositories matching software engineering & architecture · Data Access Layers. Refine with filters or upvote what's useful.
Refine is a headless framework designed for building data-intensive internal business applications, such as admin panels and dashboards. It provides a core set of hooks and architectural patterns that decouple business logic, authentication, and data operations from the user interface, allowing developers to integrate any design system while maintaining a consistent application structure. The framework distinguishes itself through a resource-centric approach that automatically maps application views to data entities via centralized configuration. It features a unified data provider interface
Standardizes communication with diverse backend services through a unified interface that translates generic CRUD operations into specific API requests.
TrinityCore is an open-source game backend and MMORPG game server emulator. It is implemented as a C++ game engine designed to handle real-time network traffic and game state synchronization, utilizing a MySQL database schema to store player profiles, inventories, and world state. The project provides the infrastructure necessary for MMORPG server hosting and private game server administration. It includes tools for game world customization, allowing for the modification of game mechanics, item statistics, and quest scripts. The system manages virtual world infrastructure through multi-threa
Implements an architectural layer to manage data access and caching between the game engine and the database.
Feast is a machine learning feature store and MLOps data infrastructure layer. It provides a centralized system for managing and serving features across offline training and online production environments, utilizing an online feature serving layer for low-latency retrieval. The project centers on a feature registry that acts as a central catalog for defining, governing, and discovering feature services. It employs a unified data access layer to decouple feature retrieval from physical storage and includes a point-in-time data generator to create historically accurate training datasets that pr
Employs a unified data access layer to decouple feature retrieval from the underlying physical storage systems.
LoopBack Next هو إطار عمل API لـ Node.js يستخدم لبناء واجهات برمجة تطبيقات REST ومتعددة البروتوكولات. يعمل كتنفيذ لخادم OpenAPI يمكنه إما إنشاء مواصفات قابلة للقراءة آلياً من الكود أو إنتاج وحدات تحكم ونماذج تنفيذ من مواصفات موجودة. يتميز إطار العمل بحاوية حقن تبعية مركزية وطبقة وصول للبيانات تعتمد على نمط المستودع (repository pattern). تفصل هذه البنية منطق التطبيق عن بناء المكونات والتخزين الدائم، مما يسمح بنظام قابل للتوصيل حيث يتم عزل مصادر البيانات ومنطق الأعمال من خلال نظام موصل موحد. يغطي المشروع مجموعة واسعة من الإمكانات بما في ذلك التحكم في الوصول القائم على الأدوار مع استراتيجيات مصادقة قابلة للتوصيل وتنسيق خدمات REST و SOAP الخارجية. كما يوفر أدوات للاتصال في الوقت الفعلي عبر نقاط نهاية WebSocket، والتحقق من صحة مخطط JSON، وسقالات المشروع الآلية من خلال واجهة سطر أوامر. يتم دعم التطوير من خلال مجموعة من أدوات CLI لبدء التطبيقات، وإنشاء مكونات API، وإدارة تبعيات المشروع.
Provides an abstraction layer that standardizes communication between application logic and various backend data sources.