grug-dev-translation VS jotai

I translated this to plain english!

https://github.com/reidjs/grug-dev-translation

Plain english translation: https://github.com/reidjs/grug-dev-translation

I haven't read it, but wish I had seen it before struggling through the original

Daishi Kato, creator of Zustand and Jotai, says there are a few things we need to support RSC serialization:

I've just published jotai-wrapper, a super tiny and simple utility library that makes using jotai even simpler. It comes from the necessity to migrate a project with react-context-slices to jotai. Both libraries share a similar API. While in react-context-slices you have the useSlice hook, in jotai you have the useAtom, useSetAtom, and useAtomValue hooks. In react-context-slices you define either React Context or Redux slices, while in jotai you define atoms. The need for the migration from the first to the second was a high memory usage by react-context-slices when using React Context slices.

Atom-based: splits states into tiny pieces of data called atoms, which can be written to and read from using React hooks. In this group, we have Recoil and Jotai.

jotai Is the signal based state manager I recommended, offering the best developer experience (in my opinion) as it eliminates the necessity to define and update a global store

Jotai 🧙‍♂️

Atomic libs include Recoil, Jotai, and the one I maintain: Zedux. Zedux especially was designed to work well with sockets and RxJS observables and has been getting some traction recently, so of course I recommend checking it out. Feel free to hmu with any questions.

Global State Machine: Jotai (great for any state that needs to be stored globally for your application)