What is RxJS and what are its top alternatives?
RxJS is a popular library for reactive programming in JavaScript, providing developers with powerful tools for manipulating asynchronous data streams. Its key features include observables, operators for transforming, combining, and filtering data, and seamless integration with various frameworks like Angular. However, its learning curve can be steep for beginners, and complex applications may require advanced knowledge to manage data flows efficiently.
- Most.js: Most.js is a super-powered stream library with a strong focus on performance and minimal bundle size. It offers similar functionalities to RxJS, but with a simpler API and better performance. Pros: Leaner library, better performance. Cons: Smaller community than RxJS.
- Kefir.js: Kefir.js is a functional reactive library with a simple and intuitive API. It provides tools for working with continuous streams of data and handling complex event flows. Pros: Easy to learn, intuitive API. Cons: Not as feature-rich as RxJS.
- Bacon.js: Bacon.js is another functional reactive library that emphasizes event stream composition and transformation. It offers a straightforward API for working with reactive streams and handling asynchronous events. Pros: Easy to use, good documentation. Cons: Lacks some advanced features compared to RxJS.
- Xstream: Xstream is a fast and flexible library for reactive programming, focusing on high performance and scalability. It provides a simple API for creating and managing streams of data in JavaScript applications. Pros: High performance, simple API. Cons: Limited ecosystem compared to RxJS.
- ReactiveX/RxJS: This is the official RxJS Github repository.
Top Alternatives to RxJS
- React
Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project. ...
- Ramda
It emphasizes a purer functional style. Immutability and side-effect free functions are at the heart of its design philosophy. This can help you get the job done with simple, elegant code. ...
- MobX
MobX is a battle tested library that makes state management simple and scalable by transparently applying functional reactive programming (TFRP). React and MobX together are a powerful combination. React renders the application state by providing mechanisms to translate it into a tree of renderable components. MobX provides the mechanism to store and update the application state that React then uses. ...
- redux-saga
An alternative side effect model for Redux apps
- axios
It is a Javascript library used to make http requests from node.js or XMLHttpRequests from the browser and it supports the Promise API that is native to JS ES6. ...
- JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...
- Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...
- Node.js
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. ...
RxJS alternatives & related posts
- Components832
- Virtual dom673
- Performance578
- Simplicity508
- Composable442
- Data flow186
- Declarative166
- Isn't an mvc framework128
- Reactive updates120
- Explicit app state115
- JSX50
- Learn once, write everywhere29
- Easy to Use22
- Uni-directional data flow21
- Works great with Flux Architecture17
- Great perfomance11
- Javascript10
- Built by Facebook9
- TypeScript support8
- Server Side Rendering6
- Speed6
- Feels like the 90s5
- Excellent Documentation5
- Props5
- Functional5
- Easy as Lego5
- Closer to standard JavaScript and HTML than others5
- Cross-platform5
- Easy to start5
- Hooks5
- Awesome5
- Scalable5
- Super easy4
- Allows creating single page applications4
- Server side views4
- Sdfsdfsdf4
- Start simple4
- Strong Community4
- Fancy third party tools4
- Scales super well4
- Has arrow functions3
- Beautiful and Neat Component Management3
- Just the View of MVC3
- Simple, easy to reason about and makes you productive3
- Fast evolving3
- SSR3
- Great migration pathway for older systems3
- Rich ecosystem3
- Simple3
- Has functional components3
- Every decision architecture wise makes sense3
- Very gentle learning curve3
- Split your UI into components with one true state2
- Image upload2
- Permissively-licensed2
- Fragments2
- Sharable2
- Recharts2
- HTML-like2
- React hooks1
- Datatables1
- Requires discipline to keep architecture organized41
- No predefined way to structure your app30
- Need to be familiar with lots of third party packages29
- JSX13
- Not enterprise friendly10
- One-way binding only6
- State consistency with backend neglected3
- Bad Documentation3
- Error boundary is needed2
- Paradigms change too fast2
related React posts
I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.
I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!
I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.
Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.
Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.
With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.
If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.
Your tech stack is solid for building a real-time messaging project.
React and React Native are excellent choices for the frontend, especially if you want to have both web and mobile versions of your application share code.
ExpressJS is an unopinionated framework that affords you the flexibility to use it's features at your term, which is a good start. However, I would recommend you explore Sails.js as well. Sails.js is built on top of Express.js and it provides additional features out of the box, especially the Websocket integration that your project requires.
Don't forget to set up Graphql codegen, this would improve your dev experience (Add Typescript, if you can too).
I don't know much about databases but you might want to consider using NO-SQL. I used Firebase real-time db and aws dynamo db on a few of my personal projects and I love they're easy to work with and offer more flexibility for a chat application.
- Automatically curried2
- Point free programming1
related Ramda posts
- It's just stupidly simple, yet so magical26
- Easier and cleaner than Redux18
- Fast15
- Automagic updates13
- React integration13
- Computed properties10
- ES6 observers and obversables8
- Global stores7
- Flexible architecture the requeriment3
- Has own router package (mobx-router)1
- Maturity1
related MobX posts
The front end for Heap begun to grow unwieldy. The original jQuery pieces became difficult to maintain and scale, and a decision was made to introduce Backbone.js, Marionette, and TypeScript. Ultimately this ended up being a “detour” in the search for a scalable and maintainable front-end solution. The system did allow for developers to reuse components efficiently, but adding features was a difficult process, and it eventually became a bottleneck in advancing the product.
Today, the Heap product consists primarily of a customer-facing dashboard powered by React, MobX, and TypeScript on the front end. We wrote our migration to React and MobX in detail last year here.
#JavascriptUiLibraries #Libraries #JavascriptMvcFrameworks #TemplatingLanguagesExtensions
We started rebuilding our dashboard components using React from AngularJS over 3 years ago and, in order to have predictable client-side state management we introduced Redux.js inside our stack because of the popularity it gained inside the JavaScript community; that said, the number of lines of codes needed to implement even the simplest form was unnecessarily high, from a simple form to a more complex component like our team management page.
By switching our state management to MobX we removed approximately 40% of our boilerplate code and simplified our front-end development flow, which in the ends allowed us to focus more into product features rather than architectural choices.
- Easy to test7
- Easy to learn1
related redux-saga posts
We had contemplated a long time which #JavascriptMvcFrameworks to use, React and React Native vs AngularJS and Apache Cordova in both web and mobile. Eventually we chose react over angular since it was quicker to learn, less code for simple apps and quicker integration of third party javascript modules. for the full MVC we added Redux.js for state management and redux-saga for async calls and logic. since we also have mobile app along with the web, we can shere logic and model between web and mobile.
Choosing redux-saga for my async Redux.js middleware, for a React application, instead of the typical redux-thunk .
Redux-saga is much easier to test than Redux-thunk - it requires no module mocking at all. Converting from redux-thunk to redux-saga is easy enough, as you are only refactoring the action creators - not your redux store or your react components. I've linked a github repo that shows the same solution with both, including Jest tests.
related axios posts
I built a project using Quasar Framework with Vue.js, vuex and axios on the frontend and Go, Gin Gonic and PostgreSQL on the backend. Deployment was realized using Docker and Docker Compose. Now I can build the desktop and the mobile app using a single code base on the frontend. UI responsiveness and performance of this stack is amazing.
hello, I'm a newbie. is axios the same as Vue Router? Or can /should use both? thanks
JavaScript
- Can be used on frontend/backend1.7K
- It's everywhere1.5K
- Lots of great frameworks1.2K
- Fast898
- Light weight746
- Flexible425
- You can't get a device today that doesn't run js392
- Non-blocking i/o286
- Ubiquitousness237
- Expressive191
- Extended functionality to web pages55
- Relatively easy language49
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- Relatively fast to the end user30
- Pure Javascript25
- Functional programming21
- Async15
- Full-stack13
- Future Language of The Web12
- Setup is easy12
- Its everywhere12
- Because I love functions11
- JavaScript is the New PHP11
- Like it or not, JS is part of the web standard10
- Easy9
- Can be used in backend, frontend and DB9
- Expansive community9
- Everyone use it9
- Easy to hire developers8
- Most Popular Language in the World8
- For the good parts8
- Can be used both as frontend and backend as well8
- No need to use PHP8
- Powerful8
- Evolution of C7
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- Hard not to use7
- Popularized Class-Less Architecture & Lambdas7
- Agile, packages simple to use7
- Supports lambdas and closures7
- Love-hate relationship7
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- 1.6K Can be used on frontend/backend6
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- It let's me use Babel & Typescript6
- Easy to make something6
- Can be used on frontend/backend/Mobile/create PRO Ui6
- Client processing5
- What to add5
- Everywhere5
- Scope manipulation5
- Function expressions are useful for callbacks5
- Stockholm Syndrome5
- Promise relationship5
- Clojurescript5
- Only Programming language on browser4
- Because it is so simple and lightweight4
- Easy to learn and test1
- Easy to understand1
- Not the best1
- Subskill #41
- Hard to learn1
- Test21
- Test1
- Easy to learn1
- Hard 彤0
- A constant moving target, too much churn22
- Horribly inconsistent20
- Javascript is the New PHP15
- No ability to monitor memory utilitization9
- Shows Zero output in case of ANY error8
- Thinks strange results are better than errors7
- Can be ugly6
- No GitHub3
- Slow2
- HORRIBLE DOCUMENTS, faulty code, repo has bugs0
related JavaScript posts
Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.
But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.
But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.
Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
Python
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- Rapid development788
- Large community691
- Open source438
- Elegant393
- Great community282
- Object oriented273
- Dynamic typing221
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- Very fast60
- Functional programming55
- Easy to learn50
- Scientific computing46
- Great documentation35
- Productivity29
- Matlab alternative28
- Easy to read28
- Simple is better than complex24
- It's the way I think20
- Imperative19
- Very programmer and non-programmer friendly18
- Free18
- Machine learning support17
- Powerfull language17
- Fast and simple16
- Scripting14
- Explicit is better than implicit12
- Ease of development11
- Clear and easy and powerfull10
- Unlimited power9
- Import antigravity8
- It's lean and fun to code8
- Print "life is short, use python"7
- Python has great libraries for data processing7
- High Documented language6
- I love snakes6
- Readability counts6
- Rapid Prototyping6
- Now is better than never6
- Although practicality beats purity6
- Flat is better than nested6
- Great for tooling6
- There should be one-- and preferably only one --obvious6
- Fast coding and good for competitions6
- Web scraping5
- Lists, tuples, dictionaries5
- Great for analytics5
- Beautiful is better than ugly4
- Easy to learn and use4
- Easy to setup and run smooth4
- Multiple Inheritence4
- CG industry needs4
- Socially engaged community4
- Complex is better than complicated4
- Plotting4
- Simple and easy to learn4
- List comprehensions3
- Powerful language for AI3
- Flexible and easy3
- It is Very easy , simple and will you be love programmi3
- Many types of collections3
- If the implementation is easy to explain, it may be a g3
- If the implementation is hard to explain, it's a bad id3
- Special cases aren't special enough to break the rules3
- Pip install everything3
- No cruft3
- Generators3
- Import this3
- Batteries included2
- Securit2
- Can understand easily who are new to programming2
- Should START with this but not STICK with This2
- A-to-Z2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Good for hacking2
- Best friend for NLP1
- Sexy af1
- Procedural programming1
- Automation friendly1
- Slow1
- Keep it simple0
- Powerful0
- Ni0
- Still divided between python 2 and python 353
- Performance impact28
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- GIL22
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- Too imperative-oriented14
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- Very slow12
- Indentations matter a lot8
- Not everything is expression8
- Incredibly slow7
- Explicit self parameter in methods7
- Requires C functions for dynamic modules6
- Poor DSL capabilities6
- No anonymous functions6
- Fake object-oriented programming5
- Threading5
- The "lisp style" whitespaces5
- Official documentation is unclear.5
- Hard to obfuscate5
- Circular import5
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- The benevolent-dictator-for-life quit4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
related Python posts
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.
We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)
We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.
Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.
#FrameworksFullStack #Languages
Node.js
- Npm1.4K
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- Websockets85
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- Easy to start42
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- Realtime32
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- Can be used as a proxy18
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- Easy and Fun15
- Easy and powerful14
- Future of BackEnd13
- Same lang as AngularJS13
- Fullstack12
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- Scalability10
- Cross platform10
- Simple9
- Mean Stack8
- Great for webapps7
- Easy concurrency7
- Typescript6
- Fast, simple code and async6
- React6
- Friendly6
- Control everything5
- Its amazingly fast and scalable5
- Easy to use and fast and goes well with JSONdb's5
- Scalable5
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- Easy to use4
- Isomorphic coolness4
- Great community3
- Not Python3
- Sooper easy for the Backend connectivity3
- TypeScript Support3
- Blazing fast3
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- Node0
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- Breaking updates4
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- Unneeded over complication3
- No standard approach3
- Bad transitive dependency management1
- Can't read server session1
related Node.js posts
I just finished the very first version of my new hobby project: #MovieGeeks. It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. This is just the beginning as I am planning to add more features on the lines of sharing and discovery
For the #BackEnd I decided to use Node.js , GraphQL and MongoDB:
Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have
GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger.
MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website
Needs advice on code coverage tool in Node.js/ExpressJS with External API Testing Framework
Hello community,
I have a web application with the backend developed using Node.js and Express.js. The backend server is in one directory, and I have a separate API testing framework, made using SuperTest, Mocha, and Chai, in another directory. The testing framework pings the API, retrieves responses, and performs validations.
I'm currently looking for a code coverage tool that can accurately measure the code coverage of my backend code when triggered by the API testing framework. I've tried using Istanbul and NYC with instrumented code, but the results are not as expected.
Could you please recommend a reliable code coverage tool or suggest an approach to effectively measure the code coverage of my Node.js/Express.js backend code in this setup?