What is NodeGUI?
It is an open source library for building cross-platform native desktop applications with JavaScript and CSS like styling. It is based on Qt5 and NOT chromium, hence it is memory and cpu efficient.
NodeGUI is a tool in the Cross-Platform Desktop Development category of a tech stack.
NodeGUI is an open source tool with 9K GitHub stars and 299 GitHub forks. Here’s a link to NodeGUI's open source repository on GitHub
Who uses NodeGUI?
Developers
15 developers on StackShare have stated that they use NodeGUI.
NodeGUI Integrations
JavaScript, Node.js, TypeScript, CSS 3, and Linux are some of the popular tools that integrate with NodeGUI. Here's a list of all 8 tools that integrate with NodeGUI.
Pros of NodeGUI
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NodeGUI's Features
- Cross platform
- Low CPU and memory footprint
- Styling with CSS
- Complete Nodejs api support
- Good Devtools support
NodeGUI Alternatives & Comparisons
What are some alternatives to NodeGUI?
Electron
With Electron, creating a desktop application for your company or idea is easy. Initially developed for GitHub's Atom editor, Electron has since been used to create applications by companies like Microsoft, Facebook, Slack, and Docker. The Electron framework lets you write cross-platform desktop applications using JavaScript, HTML and CSS. It is based on io.js and Chromium and is used in the Atom editor.
Proton Native
Create native desktop applications through a React syntax, on all platforms.
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.
