An async state management library for fetching, caching, synchronizing, and updating server state across web frameworks.
TanStack Query is an asynchronous state management library built to simplify fetching, caching, synchronizing, and updating server state in web applications. It handles complex data-fetching logic, background updates, and caching automatically, reducing boilerplate code and improving performance. The library is protocol-agnostic, working with REST, GraphQL, promises, and other data sources.
Frontend developers building data-intensive web applications with frameworks like React, Vue, Svelte, or Solid who need robust server-state management. It's especially valuable for teams dealing with complex caching, pagination, and real-time data synchronization.
Developers choose TanStack Query for its declarative API, automatic background refetching, and powerful caching strategies that eliminate manual state management. Its framework-agnostic core with dedicated adapters for popular frameworks provides consistency and flexibility across different tech stacks.
🤖 Powerful asynchronous state management, server-state utilities and data fetching for the web. TS/JS, React Query, Solid Query, Svelte Query and Vue Query.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Provides a declarative API that automatically handles caching, background updates, and refetching, eliminating boilerplate code for data fetching as emphasized in the README's focus on simplifying server-state.
Works with REST, GraphQL, promises, and other data sources, making it versatile across different backend architectures, as highlighted in the key features section.
Includes intelligent caching, background refetching, and automatic synchronization, reducing manual state management and improving performance, evidenced by the 'advanced caching & refetching' feature.
Offers native utilities for paginated data and infinite scroll interfaces, streamlining common UI patterns for data-heavy apps, as mentioned in the pagination & infinite scroll feature.
The comprehensive API with numerous options for caching, mutations, and dependencies can be overwhelming for new users, requiring significant time to master all features.
For applications with minimal or straightforward data-fetching needs, the library adds unnecessary complexity and bundle size compared to manual fetch calls or lighter alternatives.
If not configured carefully, the automatic background refetching and caching logic can lead to excessive network requests, negatively impacting performance and data usage.