kea VS react-query

Whereas with Redux (and abstractions such as Kea) you subscribe to specific parts of the redux tree on a per-component level. Said differently, if you only update one value in Redux, only the components that read it will update. With Context, the entire app will update.

react-query

React Query: This library makes it easy to manage data in your React applications, from fetching to caching and updating data. It offers a simple, powerful, and flexible API for handling data and keeping your UI in sync with your data. https://github.com/tannerlinsley/react-query

useQuery (react-query) (+) all from above (+) even more features (-) more complex, even the examples are complex, has more aggressive defaults (re-fetching every 2s)

see here Overview

Rapini is a new tool that can generate custom React Query hooks using OpenAPI (Swagger) files.

React Query is the gold standard for using async data declaratively with hooks. I ended up needing to modify even my simple useTimer hook to work more like useQuery to take multiple keys in order to work as an inner observable for other operators.

For most situations, I would recommend using a library like React Query. It handles a lot of common data-fetching boiler plate and already accounts for this useEffect() issue. Also, it supports Suspense if you want to use that.

At this point, I want to move on to the react-query cache management library. Give a brief overview and see how you can improve your developer experience with cache using this library.

There isn't the "service" concept in React. If you need to send off data you can just do so with fetch. If you need to load data and cache it so it can be used across components and unmounts, then something like react-query is what I'd recommend. But it's basically a combination of React Context, useEffect, and useState to manage the cache and lifecycle of a request.

react-query is pretty neat too. I default to that for most projects unless it's something unusual