reactive/data-client
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.
- 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.
