Asynchronous Programming
ReactiveX simplifies asynchronous programming by providing a consistent API for handling sequences of events or data streams. This can lead to cleaner and more maintainable code.
Composability
With ReactiveX, you can easily compose multiple operations on streams using operators, leading to expressive and declarative code. This helps in building complex data pipelines with ease.
Error Handling
ReactiveX provides robust mechanisms for error handling in asynchronous flows, making it easier to build resilient applications that can gracefully handle failures.
Backpressure Handling
ReactiveX offers built-in support for backpressure, enabling systems to handle varying rates of data production and consumption efficiently.
Language Support
ReactiveX is available across multiple programming languages, including Java, JavaScript, Python, Swift, and more, making it a versatile choice for developers working in different ecosystems.
Community and Documentation
ReactiveX has a strong community and extensive documentation, providing ample resources for learning and troubleshooting.
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ReactiveX is widely regarded as a valuable tool for developers looking to leverage reactive programming. Its robust library of operators and ability to integrate with various programming languages make it versatile and adaptable to many project needs. However, it might have a steep learning curve for those not familiar with functional or reactive programming concepts.
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The latest comments about ReactiveX on Reddit. This can help you find out how popualr the product is and what people think about it.
Flows are a Kotlin API for asynchronous streams of data. They are similar to Rx Observables, but are simpler and more idiomatic to Kotlin. They are a great fit for asynchronous data processing, particularly for database operations where results may be large or processing needs to happen incrementally. This makes them a perfect addition to Kapper's existing coroutine support. - Source: dev.to / 6 months ago
It looks like a mixture between Akka (https://getakka.net/ less enterprisy than the Java version), which is based on the actor model and has a focus on distributed systems, and reactive libraries like rx (https://reactivex.io/). So maybe https://doc.akka.io/libraries/akka-core/current/stream/index.html is the best fit. - Source: Hacker News / 8 months ago
> Is there any parallel there Of course. Promise is a monad, .then is more or less equivalent to the >>= operator and await makes it look more imperative-ish just like <- in Haskell. Note that in JS you'll need to be inside an async function to use await, just like in Haskell you'll need to be inside the do notation to use <-. Otherwise, you'll need to play with .then just like you would need to play with >>= in... - Source: Hacker News / 9 months ago
DynamicData is a .NET library that brings the power of reactive programming to collections. It is built upon the principles of Reactive Extensions (Rx), extending these concepts to handle collections like lists and observables more efficiently and flexibly. DynamicData provides a set of tools and extensions that enable developers to manage collections reactively, meaning any changes in the data are automatically... - Source: dev.to / over 1 year ago
Another option is to use the RxJava library in Java. This library uses reactive programming principles to make it easy to write asynchronous and event-driven code. It's particularly well-suited for handling streams of data and allows you to write code that is both efficient and easy to read. Source: over 2 years ago
The thing that really irks me is that the generator pattern doesn't have to be an OO-first feature. Observable streams[1] work with the same basic foundation and those are awesome for FP. [1]: https://reactivex.io/. - Source: Hacker News / over 2 years ago
> I’m not sure what you mean by "Rx" in this context. From “reactive extensions”, a proper name for a family of libraries[1] (RxJava, Rx.NET, RxJS), AFAICT one of the first attempted implementations of mature FRP ideas in the imperative world and one messy enough that it took React for anything similar to reënter the mainstream. Compare the enthusiastic HN reception of “Deprecating the observer pattern” in... - Source: Hacker News / over 2 years ago
Here’s what you can do with the observer pattern — https://reactivex.io/. Source: over 2 years ago
It's a pretty steep learning curve. For a beginner to programming you should probably implement the other solutions first for the sake of learning, it's just a lot more code. If you eventually move onto Rx, I think https://reactivex.io/ is the "hub". Source: over 2 years ago
If you love LINQ, you'll like Rx.NET even more - iterating over events Https://reaqtive.net/blog/2021/05/sequences-linq-rx-reaqtor-part-02-linq Or possibly even OData (LINQ to REST api). Source: almost 3 years ago
Even if not directly related to Rust, I recommend the site reactivex.io to learn more about the elegance and limitations of Streams. - Source: dev.to / about 3 years ago
You can start from ReactiveX. Also you can read my introductory article or just search "Reactive functional programming". Source: about 3 years ago
Some people here are suggesting event systems, I suggest looking into a reactive library which takes events to a higher level (https://reactivex.io/). Source: about 3 years ago
Https://reactivex.io/ is a decent general introduction to RX. Source: about 3 years ago
As much as I'd love to learn Haskell, Lisp, OCaml or F#, try https://reactivex.io/ and pick your language. - Source: Hacker News / about 3 years ago
Even resharper uses reactive programming to accomplish some things that otherwise they couldn’t. Then even build a “distributed reactive library”. It’s pretty cool https://reactivex.io. Source: about 3 years ago
We have Dataflow, Rx, MediatR, Concurrent Collections and they share many functionalities and patterns. It's getting a little confusing for me. For example they all support the pub/sub pattern and asynchronous data processing. Source: over 3 years ago
I've recently started into game development as a hobby with C++ and I'm trying to figure out how to do animation and coordinate these with random user events. I recall from about 5years ago ReactiveX (_not_ React) was a thing in JavaScript land and it was well suited to handling asynchronous input events. Source: over 3 years ago
This post shows how reactive programming is used in one of DataBeacon’s central software component, called Funnel. The post is inspired by the rubber duck debugging method. - Source: dev.to / over 3 years ago
You may also want to consider using some Reactive tools so you don't have to implement it yourself...such as https://reactivex.io/. Source: over 3 years ago
Another option is Reactive Extensions which converts your LINQ query to an IObservable. Observables can perform async operations as part of a stream. It's a bit of a learning curve but it might solve your problem. Source: over 3 years ago
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