Asynchronous dynamic data at scale. Performance, data integrity, and typing for REST, proto, GraphQL, websockets and more..
class Article extends Entity {
readonly id: string = '';
readonly title: string = '';
readonly body: string = '';
pk() {
return this.id;
}
}
const ArticleResource = createResource({
path: '/articles/:id',
schema: Article,
})
const article = useSuspense(ArticleResource.get, { id });
return (
<>
<h2>{article.title}</h2>
<p>{article.body}</p>
</>
);
const { fetch } = useController();
return (
<ArticleForm
onSubmit={data => fetch(ArticleResource.update, { id }, data)}
/>
);
const price = useSuspense(PriceResource.get, { symbol });
useSubscription(PriceResource.get, { symbol });
return price.value;
...all typed ...fast ...and consistent
For the small price of 7kb gziped. ย ย ๐Get started now
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
- Suspense + concurrent mode async orchestration
Incremental Adoption
- Simple case is simple
- Scale as your app scales