MobX is a battle tested library that makes state management simple and scalable by transparently applying functional reactive programming (TFRP). Yes MobX can follow the Flux framework and yes it allows scalability but it’s defining power comes from it’s reactive nature.
Read moreIs MobX popular?
While there are several approaches to solving state management problems, Redux and MobX are two of the most popular external libraries that address state management in frontend applications. … Redux and MobX popularity. Redux and MobX learning curve. Storing data with single store vs.15 Tem 2021
Read moreWhat is difference between Redux and MobX?
In Redux, mainly, the kept data is normalized data only. Mobx mainly uses an observable to store the data . Redux mainly used javascript objects to store the data. In Mobx, the updates can be done automatically with the help of an observable attribute.
Read moreIs MobX the same as Redux?
This is because Redux is explicit in nature and a lot of its capabilities must be explicitly coded. MobX, on the other hand, is more implicit and does not require a lot of special tooling . It comes with much less boilerplate code in comparison to Redux, making MobX easier to learn and set up.15 Tem 2021
Read moreIs MobX fast?
MobX is very fast, often even faster than Redux , but here are some tips to get most out of React and MobX. Most apply to React in general and are not specific to MobX. Note that while it’s good to be aware of these patterns, usually your application will be fast enough even if you don’t worry about them at all.
Read moreShould I use context or Redux?
Comparing Redux & Context API Both are excellent tools for their own specific niche, Redux is overkill just to pass data from parent to child & Context API truly shines in this case. When you have a lot of dynamic data Redux got your back!
Read moreWhy should I use MobX?
MobX State Tree enables us to write simple, maintainable and highly performant code . Features like data validation and references provide a great developer experience and enable us to easily implement a data normalization layer in our applications.
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