Cycle.js VS RxJS

Cycle.js Documentation

RxJS Documentation Cycle.js Official Site Intersection Observer API

There are some UI frameworks like Cycle or libraries like Rimmel that take full advantage of RxJS and its operators are first-class citizens, so your components never really have to deal with rendering glitches.

In my case Cycle JS (https://cycle.js.org) was very enlightenment and pedagogic. It make me realize that software is always and only a matter of data transformation. And those pure data transformations can be keep separated and decoupled from "side effects".

Seems like you might be interested in this

Cycle

This is the standard way of going about things in Mithril and Cycle. Elm as well doesn't use an XML knockoff for view code- and as a fun fact, the original version of React didn't either.

Reactive streams, either functional (E.G.: RxJS) or imperative (E.G.: Callforwards) or something in between (E.G.: Signals). We'll stick with functional, as the whole paradigm is known to be far superior and we don't want to bulid 💩.

When I teased this series on LinkedIn, one comment quipped that Vue’s been around since 2014—“you should’ve learned it by now!”—and they’re not wrong. The JS ecosystem churns out UI libraries like Svelte, Solid, RxJS, and more, each pushing reactivity forward. React’s ubiquity made it my go-to for stability and career momentum. Now I’m ready to revisit new patterns and sharpen my tool-belt.

In the JavaScript ecosystem, the most popular way to use push reactivity is to use the RxJs library.

I don't yet know how important concurrency is in .NET web development. My familiarity with RxJS thanks to its integration with Angular should help me understand Rx.NET faster.

– Promise – native to all browsers, Node.js, and handles synchronous and asynchronous code; Errors are unknown – Observable – typically used in Angular, but supported everywhere you import the RxJS library, and handles synchronous and asynchronous code; Errors are typically typed Observable – Result or Either – a TypeScript discriminated union; handles synchronous, Errors are typically just strings

A programming paradigm, mostly derived from principles of Reactive Programming, in which you define everything as streams. Pretty much everything is (=can be, to be more precise) a stream that speaks the same language. If you use Observables, their "communication protocol" is subscribe/next/error/complete. You can use other patterns, different than just Observables, such as Callforwards, Callbags, Signals.

Now, to know more about Observables and how they help us in our daily activities, I highly recommend you check out the source material on the RxJS page. There is a lot of great information there.

When it comes to processing streams of data, both JavaScript generators and RxJS are great tools, but each comes with its strengths and weaknesses. Lucky for us, they aren’t mutually exclusive so we can use both.

Using a reactive library (such as RxJS), this initial state would look more like this:

As I was fairly new to the codebase, I first wanted to understand the code, what the library in question did and how it was supposed to be used, hoping with this process it would be easier to identify the problem. Unfortunately, there was no proper documentation but from reading the code and searching how services were utilising the library I was able to understand the gist of it. It was a library wrapping around redis streams and exposing convenient interfaces for event production and consumption. After spending a day and a half reading the code, I was not able to grasp all the details and how the data flowed due to code structure and complexity (a lot of class inheritance and rxjs which I am not familiar with).