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LiveCode cross-platform development environment (engine)

Code Exercises for RubyConf 2024 Workshop "How To Build Basic Desktop Applications in Ruby" & RubyConf 2023 Workshop "How To Build Desktop Applications in Ruby"

Socket Runtime Examples – see how your favorite front-end framework is used to build cross platform UIs

LiveCode cross-platform development environment (IDE)

A list of useful stuff in Machine Learning, Computer Graphics, Software Development, ...

Desktop Development built up on, Javascript, HTML, CSS, Chromium and Firefox.

A server framework built for APIs.

The Base Converter is a cross-platform mobile application developed using Flutter. It allows users to convert numbers between different numeral systems including Binary, Decimal, Hexadecimal, and Octal. The app supports both light and dark themes, providing a user-friendly interface for seamless convers

Scripts for automating or simplifying the build process for some libraries that are crucial to desktop development in C++ on Windows

Desktop Application for Routing Optimization and Wavelength Assignment on a Telecommunication Network

A simple desktop app using electron.js that gets system information from operating system and displays it in a nice and simple to use desktop app.[[COMPLETE]]

This repository includes everything you need to kickstart your journey, combining Electron for cross-platform capabilities, React for a dynamic user interface, Tailwind CSS for easy styling, and TypeScript for enhanced type safety. Perfect for building desktop applications, this project provides a solid foundation, allowing you to focus on crafting

🧩 Traversy Media - Build an Electron App in Under 60 Minutes (Sep 15, 2017) | Link: https://www.youtube.com/watch?v=kN1Czs0m1SU

A simple speech to text app.

Nzym

The project task is to create an adaptive version of a design & for it to work on multiple devices using media queries.

This is made in C# winform. It is used to convert every base to another base like binary to decimal or vice versa.

Mask Wearing Detection system built with OpenCV and Computer Vision concepts in order to detect people who do not wear their mask in real-time video streams.