What is JavaFX and what are its top alternatives?
Top Alternatives to JavaFX
It is the fastest way to build web applications in Java. It automates the communication between your server and the browser and gives you a high-level component API for all Vaadin components ...
Qt, a leading cross-platform application and UI framework. With Qt, you can develop applications once and deploy to leading desktop, embedded & mobile targets. ...
It is used for building component-based user interfaces for web applications and was formalized as a standard through the Java Community ...
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere! ...
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. ...
A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments. ...
JavaFX alternatives & related posts
related Electron posts
Slack's new desktop application was launched for macOS. It was built using Electron for a faster, frameless look with a host of background improvements for a superior Slack experience. Instead of adopting a complete-in-box approach taken by other apps, Slack prefers a hybrid approach where some of the assets are loaded as part of the app, while others are made available remotely. Slack's original desktop app was written using the MacGap v1 framework using WebView to host web content within the native app frame. But it was difficult to upgrade with new features only available to Apple's WKWebView and moving to this view called for a total application rewrite.
Electron brings together Chromium's rendering engine with the Node.js runtime and module system. The new desktop app is now based on an ES6 + async/await React application is currently being moved gradually to TypeScript. Electron functions on Chromium's multi-process model, with each Slack team signed into a separate process and memory space. It also helps prevent remote content to directly access desktop features using a feature called WebView Element which creates a fresh Chromium renderer process and assigns rendering of content for its hosting renderer. Additional security can be ensured by preventing Node.js modules from leaking into the API surface and watching out for APIs with file paths. Communication between processes on Electron is carried out via electron-remote, a pared-down, zippy version of Electron's remote module, which makes implementing the web apps UI much easier.
The Slack desktop app was originally written us the MacGap framework, which used Apple’s WebView to host web content inside of a native app frame. As this approach continued to present product limitations, Slack decided to migrate the desktop app to Electron. Electron is a platform that combines the rendering engine from Chromium and the Node.js runtime and module system. The desktop app is written as a modern ES6 + async/await React application.
For the desktop app, Slack takes a hybrid approach, wherein some of the assets ship as part of the app, but most of their assets and code are loaded remotely.
related Java 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:
related React posts
I am starting to become a full-stack developer, by choosing and learning .NET Core for API Development, Angular CLI / React for UI Development, MongoDB for database, as it a NoSQL DB and Flutter / React Native for Mobile App Development. Using Postman, Markdown and Visual Studio Code for development.
I find using Vue.js to be easier (more concise / less boilerplate) and more intuitive than writing React. However, there are a lot more readily available React components that I can just plug into my projects. I'm debating whether to use Vue.js or React for an upcoming project that I'm going to use to help teach a friend how to build an interactive frontend. Which would you recommend I use?
related Spring posts
I've just finished my Masters degree and I am looking at routes into developing my Java knowledge.
The University I studied at requested that all practical Java assignments were done in Java Swing and as such I have a strong understanding in that area of development. Looking at job prospects, many employers are now looking for Java Spring or Android developers.
The plan is to move away from Java SE and skill up in Android development. I was planning on learning Spring Boot to gain exposure in web application development, however looking at StackShare, Django seems to be the more attractive choice for developers.
Does anyone have any advice on which routes/stacks would be the most advisable to adopt. If Spring is not receiving as much exposure or support as Django, is it worth adding to my stack?