13 مستودعات
Automated fetching, caching, and synchronization of remote backend data.
Distinguishing note: Focuses on the synchronization lifecycle rather than simple data fetching.
Explore 13 awesome GitHub repositories matching data & databases · Remote Data Management. Refine with filters or upvote what's useful.
SwitchHosts is a desktop application for managing and switching between multiple sets of system hosts file entries. It functions as a network environment switcher and an operating system hosts file manager, allowing users to map domain names to specific IP addresses for local DNS management. The tool distinguishes itself through remote hosts synchronization, which fetches and updates local data from remote URLs on a defined schedule. It enables rapid configuration toggling via a main window and system tray menu to swap between different network routing sets instantly. The application include
Fetches host data from remote sources manually, on a schedule, or during application startup.
This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d
Automates the replication and synchronization of local data stores with remote backends to ensure offline-first availability.
Jotai is a state management library for React applications that utilizes an atomic model to handle data. It organizes application state into small, independent units called atoms, which automatically track dependencies and trigger granular updates to components. By building state through these composable primitives, the library ensures that only the necessary parts of an application re-render when data changes. The library distinguishes itself through its flexible approach to state composition and asynchronous data handling. It integrates promises directly into the state model, allowing devel
Simplifies remote data fetching by providing hooks that manage loading and error states automatically.
Apollo Client is a GraphQL client library and data fetching framework used to request data from a GraphQL server and synchronize that state within a frontend application. It functions as a remote state manager and a local state management tool, allowing developers to define client-side schemas and resolvers for data that does not reside on a remote server. The project features a normalized GraphQL cache that identifies objects by ID to ensure referential equality and consistent data updates across different queries. It also includes a GraphQL API mocking tool to simulate server responses and
Automates the fetching, caching, and synchronization of remote GraphQL data to keep the application state consistent.
This project is a comprehensive framework for building and managing autonomous agent systems. It provides a unified architecture for orchestrating multi-agent societies, where specialized agents collaborate through roleplay to decompose and solve complex tasks. The system integrates language models with external environments, enabling agents to perform real-world actions through a standardized tool-calling abstraction layer. The framework distinguishes itself through its focus on iterative reasoning and data reliability. It employs automated feedback loops to refine agent outputs and self-eva
Automates the synchronization of data records with cloud-based repositories.
This project provides a set of development guidelines and architectural recommendations for building iOS applications. It focuses on structuring Swift applications to decouple business logic from the user interface to improve testability and maintenance. The project covers specific implementation standards for security, such as using keychain storage for sensitive data and TLS certificate pinning for network traffic. It also defines patterns for code quality enforcement through static analysis and compiler configurations, as well as strategies for asset and localization management. The guide
Translates API responses into immutable local models to decouple the application from remote data semantics.
vue-resource is a network library for making asynchronous HTTP requests and synchronizing remote server data with Vue.js application state. It functions as a REST API client for exchanging data between a web browser and a server using standard RESTful protocols. The library features a pipeline for modifying outgoing network requests and incoming responses to handle authentication and global error logging. It acts as an asynchronous data fetcher that retrieves remote resources and automatically updates the user interface when server responses arrive. The project provides an adapter-based tran
Synchronizes a web application with a remote backend through automated fetching and data management.
Tabulator is an interactive data table library and virtual DOM data grid used to create high-performance tables from JSON or arrays. It functions as a hierarchical data viewer and a spreadsheet interface component, capable of rendering thousands of records efficiently through viewport-based virtualization and progressive loading. The library distinguishes itself by providing a full spreadsheet interface mode with multi-sheet management, cell range selection, and bulk copy-paste capabilities. It supports complex data architectures, including nested data field mapping, expandable tree structure
Connects to external APIs to handle server-side pagination, sorting, and filtering of remote datasets.
web3-react is a React framework for building decentralized applications that connect to Ethereum wallets and read blockchain state. It provides a unified interface for wallet connection management, enabling Ethereum dApp development through a collection of hooks and providers that abstract away provider-specific logic. The library is built around a connector plugin architecture that normalizes interactions across different Ethereum networks and wallet implementations. It distributes blockchain state through React Context and synchronizes state reactively by subscribing to provider events like
Exposes wallet and blockchain interactions through custom React hooks, decoupling UI from connection management.
Mapster هو محرك تعيين كائن إلى كائن لـ .NET ومحرك تعيين عالي الأداء يُستخدم لتحويل البيانات بين نماذج كائنات مختلفة. يعمل كأداة نقل بيانات آمنة من حيث النوع وأداة عرض استعلام LINQ لنقل البيانات بين المنطق الداخلي وهياكل البيانات الخارجية. يستخدم المحرك تعبيرات تعيين مجمعة وكود آلة لتقليل الحمل أثناء تحويل الكائن. ويسمح بشكل خاص بعرض مصادر البيانات القابلة للاستعلام مباشرة في أنواع الوجهة لتحسين استرجاع قاعدة البيانات. تغطي مجموعة الأدوات توليد كائنات نقل البيانات، وتحويل البيانات غير القابلة للتغيير، وعرض نتائج الاستعلام. وتتضمن إمكانيات لتعيين المجموعات غير القابلة للتغيير، والحفاظ على مراجع الكائنات، وحقن معلمات وقت التشغيل في عملية التحويل.
Transforms data into read-only lists, dictionaries, or sets to ensure destination immutability.
هذا المشروع عبارة عن قالب تطبيق SwiftUI ومخطط معماري لبناء تطبيقات iOS. ينفذ العمارة النظيفة (Clean Architecture) ونمط MVVM لفصل منطق الأعمال، والوصول إلى البيانات، وواجهة المستخدم في طبقات متميزة. يستخدم إطار العمل حاوية حقن التبعية (dependency injection) لإدارة أعمار الكائنات ونمط منسق التدفق (flow coordinator) للتعامل مع التنقل وانتقالات الشاشة بشكل مستقل عن طبقة العرض. تتضمن قاعدة الكود أنظمة لإدارة بيانات الشبكة، وتتميز بترحيل البيانات عن بُعد، والاسترجاع المدعوم بالتخزين المؤقت، وتعيين البيانات عبر كائنات نقل البيانات (DTOs). كما توفر آليات لاستمرارية سجل البحث المحلي وإطار عمل لاختبار الوحدة للتحقق من منطق الأعمال وخدمات الشبكة.
Handles remote API calls with integrated pagination and local response caching for improved performance.
FedML is a distributed machine learning training library, federated learning framework, and GPU workload orchestrator. It provides the core system components necessary to execute large-scale model training and fine-tuning across multi-cloud, on-premise, and decentralized GPU clusters, while offering a dedicated engine for scalable model serving and an MLOps pipeline manager for end-to-end lifecycle management. The platform distinguishes itself by enabling privacy-preserving federated learning across decentralized edge devices and organizational silos, keeping raw data on local hardware. It al
Provides utilities to manage and synchronize machine learning data and metadata on remote storage platforms.
This project serves as a comprehensive technical guide and framework for building, deploying, and managing event-driven applications. It focuses on serverless architecture development, providing patterns and practices for implementing cloud-native services that execute code in response to triggers without requiring persistent server infrastructure. The repository distinguishes itself by offering a unified approach to polyglot runtime orchestration, allowing developers to manage components written in multiple programming languages within a single project. It emphasizes local cloud emulation, e
Interacts with cloud-based databases to perform data operations within application workflows.