How do I handle errors in TanStack Query?

TanStack Query provides error states in query results, allowing you to catch and display errors using the 'isError' and 'error' properties from hooks like 'useQuery'. You can also set global error handlers via the QueryClient for centralized management.

TanStack Query vs Redux: which is better for state management?

TanStack Query is optimized for server-state (async data fetching and caching), while Redux is a general-purpose state container for client-state. For data-heavy apps, TanStack Query reduces boilerplate, but you might combine both for complex client-state needs.

How to implement infinite scroll with TanStack Query?

Use the 'useInfiniteQuery' hook, which provides functions to fetch more pages and manage loading states. It integrates seamlessly with paginated APIs, handling cursor or page-based pagination automatically as described in the built-in support.

Does TanStack Query work with Vue 3?

Yes, TanStack Query has a framework-agnostic core with dedicated adapters, including '@tanstack/vue-query' for Vue 3, allowing you to leverage the same caching and fetching features in Vue applications.

What are the best practices for mutations in TanStack Query?

Use the 'useMutation' hook for data updates, and leverage options like 'onSuccess' to invalidate related queries for cache consistency. Implement optimistic updates by modifying the cache before the mutation completes to improve UX.

How to cancel requests in TanStack Query?

TanStack Query supports request cancellation via the 'cancel' function in query fetchers, and it automatically cancels stale queries on unmount or refetch. You can use AbortController in your fetch functions for fine-grained control.

Open-Awesome

tanstack-query

MITTypeScriptrelease-2026-08-27-1607

An async state management library for fetching, caching, synchronizing, and updating server state across web frameworks.

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50.3k stars4.2k forks0 contributors

What is tanstack-query?

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.

Target Audience

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.

Value Proposition

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.

Overview

🤖 Powerful asynchronous state management, server-state utilities and data fetching for the web. TS/JS, React Query, Solid Query, Svelte Query and Vue Query.

Use Cases

Best For

Managing server-state with automatic caching and background updates
Implementing pagination and infinite scroll in data-heavy interfaces
Handling dependent queries and optimistic updates after mutations
Reducing boilerplate code for data fetching in React, Vue, Svelte, or Solid apps
Prefetching data to improve perceived performance and user experience
Integrating with React Suspense for declarative loading states

Not Ideal For

Static websites or applications with no dynamic server-state fetching
Projects already using GraphQL with Apollo Client for integrated GraphQL-specific caching
Teams that prefer imperative, direct control over HTTP requests without abstraction layers
Real-time applications relying solely on WebSockets without periodic HTTP data updates

Pros & Cons

Pros

Declarative Server-State Management

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.

Protocol-Agnostic Flexibility

Works with REST, GraphQL, promises, and other data sources, making it versatile across different backend architectures, as highlighted in the key features section.

Advanced Caching Strategies

Includes intelligent caching, background refetching, and automatic synchronization, reducing manual state management and improving performance, evidenced by the 'advanced caching & refetching' feature.

Built-in Pagination Support

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.

Cons

Steep Learning Curve

The comprehensive API with numerous options for caching, mutations, and dependencies can be overwhelming for new users, requiring significant time to master all features.

Overhead for Simple Use Cases

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.

Potential Over-Fetching

If not configured carefully, the automatic background refetching and caching logic can lead to excessive network requests, negatively impacting performance and data usage.

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