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reactive/data-client

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dataclient.io↗

Data Client

Data-client is an asynchronous state management library designed to synchronize server data with frontend applications. It functions as a normalized cache manager that maps complex API responses into structured, relational entities, ensuring data consistency across the entire application. By providing a unified communication layer, the library supports both REST and GraphQL, allowing developers to bind network data directly to user interface components through declarative hooks.

The library distinguishes itself through a robust architecture for optimistic user interface development, where local state changes are applied immediately and reconciled automatically against server responses. It employs a middleware-driven pipeline that allows for custom logic injection, such as authentication or specialized protocol handling, while maintaining referential integrity through entity-relationship graph resolution. These capabilities are complemented by reactive cache invalidation, which tracks data dependencies to trigger background updates whenever underlying server resources change.

Beyond core synchronization, the project provides a comprehensive suite of tools for state persistence, cross-tab communication, and server-side rendering. It includes built-in observability features for performance tracking, error reporting, and visual state inspection, alongside testing utilities that enable the simulation of network responses for isolated component verification.

Features

  • Global State Managers - Configures a centralized state container at the application root to manage and synchronize server data.
  • State Management Libraries - Manages asynchronous server state, caching, and normalization for REST and GraphQL applications.
  • Frontend State Management - Manages asynchronous data fetching and server state synchronization in frontend applications without manual boilerplate.
  • Normalized Caches - Normalizes complex API responses into structured entities to ensure data consistency across application views.

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2,031 स्टार्स·98 फोर्क्स·TypeScript·Apache-2.0·1 व्यू
Unified Data Fetching Layers - Standardizes data fetching across REST and GraphQL APIs with unified schemas and automatic normalization.
  • Store Normalization Architectures - Maps complex API responses into a flat, relational entity store to ensure consistent state updates.
  • Optimistic Mutation Reconciliation - Applies local state changes immediately and automatically reconciles them against server responses.
  • Cache Invalidation Strategies - Triggers re-fetches for specific endpoints or entities to ensure application state remains synchronized with the server.
  • Data Caching & Invalidation - Provides client-side mechanisms for storing and automatically purging API responses to optimize application performance.
  • Data Fetching Hooks - Provides hooks for binding asynchronous network data to user interface components with automatic suspense and caching.
  • Optimistic UI Updates - Implements patterns for updating local state immediately before remote operations complete to improve perceived responsiveness.
  • Optimistic Updates - Updates the user interface immediately upon user action while handling background network requests to maintain data integrity.
  • Content Caching Controls - Allows developers to set the duration that fetched data remains valid before transitioning to a stale state.
  • Entity Modeling - Maps server-side data structures to client-side entities using schemas to ensure consistent normalization.
  • Entity Relationships - Resolves nested data structures by linking related records in the store to prevent data duplication.
  • Real-time Data Subscriptions - Maintains real-time synchronization between server events and client state using persistent connections or polling.
  • Real-Time Data Synchronization - Maintains live connections to server data sources to keep client-side state synchronized in real time.
  • Action Dispatch Middleware - Intercepts and transforms data operations to inject custom logic for authentication, logging, or specialized network protocol handling.
  • Composable Middleware Pipelines - Supports composable middleware to inject custom logic into the data lifecycle for logging or authentication.
  • GraphQL Data Fetching - Supports GraphQL queries with automatic request deduplication and result normalization to maintain data consistency.
  • API Endpoint Definitions - Provides type-safe definitions for network endpoints to decouple data-fetching logic from user interface components.
  • Reactive Dependency Invalidators - Tracks data dependencies to automatically trigger background refreshes whenever underlying server resources are modified.
  • Memoized Derivations - Computes derived state from normalized data stores using memoized selectors that update automatically.
  • Optimistic Update Engines - Provides a toolkit for performing immediate local state updates with automatic reconciliation against server responses.
  • Server-Side Rendering - Executes component logic on the server to reduce client-side bundle size and improve initial load performance.
  • Suspense-Based Data Fetching - Coordinates network requests with component lifecycles to pause rendering until required data is available.
  • State Hydration - Transfers server-side data to the client automatically during initial page load to enable immediate interactivity.
  • स्टार हिस्ट्री

    reactive/data-client के लिए स्टार हिस्ट्री चार्टreactive/data-client के लिए स्टार हिस्ट्री चार्ट

    अक्सर पूछे जाने वाले प्रश्न

    reactive/data-client क्या करता है?

    Data-client is an asynchronous state management library designed to synchronize server data with frontend applications. It functions as a normalized cache manager that maps complex API responses into structured, relational entities, ensuring data consistency across the entire application. By providing a unified communication layer, the library supports both REST and GraphQL, allowing developers to bind network data directly to user interface components through declarative…

    reactive/data-client की मुख्य विशेषताएं क्या हैं?

    reactive/data-client की मुख्य विशेषताएं हैं: Global State Managers, State Management Libraries, Frontend State Management, Normalized Caches, Unified Data Fetching Layers, Store Normalization Architectures, Optimistic Mutation Reconciliation, Cache Invalidation Strategies।

    reactive/data-client के कुछ ओपन-सोर्स विकल्प क्या हैं?

    reactive/data-client के ओपन-सोर्स विकल्पों में शामिल हैं: apollographql/apollo-client — Apollo Client is a GraphQL client library and data fetching framework used to request data from a GraphQL server and… effector/effector — Effector is a reactive state management library designed for building complex, event-driven applications. It functions… apollographql/apollo-android — This project is a strongly-typed GraphQL client library and code generator designed for Android, JVM, and Kotlin… urql-graphql/urql — urql is a GraphQL client library designed for fetching and managing data from a GraphQL API. It provides a system for… facebook/react — React is a JavaScript library for building user interfaces based on a component-driven architecture and unidirectional… day8/re-frame — re-frame is a functional framework for building single-page applications in ClojureScript. It provides a centralized,…

    Data Client के ओपन-सोर्स विकल्प

    समान ओपन-सोर्स प्रोजेक्ट्स, जो Data Client के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
    • apollographql/apollo-clientapollographql का अवतार

      apollographql/apollo-client

      19,798GitHub पर देखें↗

      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

      TypeScriptapollo-clientapollographqlgraphql
      GitHub पर देखें↗19,798
    • effector/effectoreffector का अवतार

      effector/effector

      4,837GitHub पर देखें↗

      Effector is a reactive state management library designed for building complex, event-driven applications. It functions as a data flow engine that models application logic as a directed acyclic graph, ensuring that state updates propagate automatically through interconnected nodes. By utilizing atomic state updates and declarative unit composition, the library maintains data consistency and provides a predictable execution model for managing application state. The project distinguishes itself through its framework-agnostic architecture, which decouples business logic from user interface implem

      TypeScriptbusiness-logiceffectorevent-driven
      GitHub पर देखें↗4,837
    • apollographql/apollo-androidapollographql का अवतार

      apollographql/apollo-android

      3,953GitHub पर देखें↗

      This project is a strongly-typed GraphQL client library and code generator designed for Android, JVM, and Kotlin Multiplatform. It provides a toolset for executing queries and mutations, generating immutable classes and parsers from GraphQL schemas to ensure compile-time type safety. The library features a normalized client-side caching system that flattens server responses into a lookup table to maintain a single source of truth. It includes a specialized subscription client for handling real-time server-side updates via WebSockets or Server-Sent Events, and a mocking framework for simulatin

      Kotlin
      GitHub पर देखें↗3,953
    • urql-graphql/urqlurql-graphql का अवतार

      urql-graphql/urql

      8,959GitHub पर देखें↗

      urql is a GraphQL client library designed for fetching and managing data from a GraphQL API. It provides a system for handling GraphQL data fetching, state management, and integration with React components. The library is distinguished by a middleware pipeline architecture that allows the request-response flow to be modified through swappable exchanges. This enables the customization of the data layer, including the addition of custom business logic, request deduplication, and specialized fetching behaviors. The project covers a broad range of capabilities, including normalized caching to en

      TypeScriptcomplex-appsexchangegraphql
      GitHub पर देखें↗8,959
    Data Client के सभी 30 विकल्प देखें→

    Data Client को शामिल करने वाली क्यूरेटेड खोजें

    चुनिंदा कलेक्शन जहाँ Data Client दिखाई देता है।
    • रिएक्टिव डेटा बाइंडिंग के लिए एक लाइब्रेरी
    • State management library
    • रिएक्टिव स्टेट मैनेजमेंट