Asynchronous dynamic data at scale for React

rest-hooks

Asynchronous dynamic data at scale. Performance, data integrity, and typing for REST, proto, GraphQL, websockets and more.

Simple TypeScript definition

class ArticleResource extends Resource {
  readonly id: string = '';
  readonly title: string = '';
  readonly body: string = '';

  pk() {
    return this.id;
  }
  static urlRoot = '/articles/';
}

One line data hookup

const article = useResource(ArticleResource.detail(), { id });
return (
  <>
    <h2>{article.title}</h2>
    <p>{article.body}</p>
  </>
);

Mutation

const { fetch } = useController();
return (
  <ArticleForm
    onSubmit={data => fetch(ArticleResource.update(), { id }, data)}
  />
);

And subscriptions

const price = useResource(PriceResource.detail(), { symbol });
useSubscription(PriceResource.detail(), { symbol });
return price.value;

...all typed ...fast ...and consistent

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Features

Principals of Rest Hooks

Integrity

  • Strong inferred types
  • Global referential equality guarantees
  • Normalized store creates a single source of truth
  • Strong invariants robust against race conditions
  • Validation

Performance

  • Stale While Revalidate configurable cache
  • Only re-render

Composition over configuration

  • Declarative data definitions
  • Decoupled API definitions from usage
  • Co-located data dependencies
    • Centralized orchestration
  • Extensible orchestration through Managers (middleware)
  • Composable hooks
    • subject pattern
  • Suspense + concurrent mode async orchestration

Incremental Adoption

  • Simple case is simple
  • Scale as your app scales