Semantic UI vs Spring Boot: What are the differences?
Semantic UI: A UI Component library implemented using a set of specifications designed around natural language. Semantic empowers designers and developers by creating a shared vocabulary for UI; Spring Boot: Create Spring-powered, production-grade applications and services with absolute minimum fuss. Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
Semantic UI can be classified as a tool in the "Front-End Frameworks" category, while Spring Boot is grouped under "Frameworks (Full Stack)".
"Easy to use and looks elegant", "Variety of components" and "Themes" are the key factors why developers consider Semantic UI; whereas "Powerful and handy", "Easy setup" and "Java" are the primary reasons why Spring Boot is favored.
Semantic UI and Spring Boot are both open source tools. It seems that Semantic UI with 45.7K GitHub stars and 4.83K forks on GitHub has more adoption than Spring Boot with 39.3K GitHub stars and 25.5K GitHub forks.
According to the StackShare community, Spring Boot has a broader approval, being mentioned in 326 company stacks & 585 developers stacks; compared to Semantic UI, which is listed in 77 company stacks and 50 developer stacks.
What is Semantic UI?
What is Spring Boot?
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ReactQL is written in TypeScript to provide full types/Intellisense, and pick up hard-to-diagnose goofs that might later show up at runtime. React makes heavy use of Webpack 4 to handle transforming your code to an optimised client-side bundle, and in throws back just enough code needed for the initial render, while seamlessly handling
import statements asynchronously as needed, making the payload your user downloads ultimately much smaller than trying to do it by hand.
React Helmet was chosen to handle
<head> content, because it works universally, making it easy to throw back the correct
<title> and other tags on the initial render, as well as inject new tags for subsequent client-side views.
<style> tags when using #StyledComponents.
React Router handles routing, because it works both on the server and in the client. ReactQL customises it further by capturing non-200 responses on the server, redirecting or throwing back custom 404 pages as needed.
Koa is the web server that handles all incoming HTTP requests, because it's fast (TTFB < 5ms, even after fully rendering React), and its natively #async, making it easy to async/await inside routes and middleware.
I use Spring-Boot because it almost let you get things done quickly for a JVM-target project, with auto configuration components and dependency management starters. It is almost perfectly tailored for microservices applications development with a single unit deployment artifact (JAR) along with support for Service Registry and Discovery, Circuit Breaker pattern...
Any third-party library or any back-end service would perfectly integrate well since Spring offers integration support for most of mainstream services, let it be a RDBMS service, a NoSQL database, a Message Broker...
Coming to day-to-day development, Spring-Boot enjoys a great community so you can get support, direction, focused guidance from almost everywhere.
We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.
To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas
To build #Webapps we decided to use Angular 2 with RxJS
#Devops - GitHub , Travis CI , Terraform , Docker , Serverless
spring boot allow my team to start building web services quickly and package it in a stand alone application
Spring-Boot allows us to create stand-alone web servers and helps us configure many of our dependencies with sane default, while maintaining flexibility where we need it.
We use Semantic UI for our frotend. A heavily customised version of it, but still Semantic UI under the hood.
Used Semantic UI + Angular2 together with Spring or Node/Express for full stack web application development.