Rosalina

screenshot of Rosalina

Rosalina is a code generation tool for Unity's UI documents. It generates C# code-behind script based on a UXML template.

Overview

Rosalina is an innovative code generation tool designed specifically for Unity users, particularly those working with the new UI Toolkit. It streamlines the process of creating C# UI binding scripts from UXML document templates, making it a game-changer for developers looking to enhance their productivity and maintainability in UI design. This tool automates the tedious task of manual binding code, allowing developers to focus more on functionality and aesthetics rather than repetitive coding.

With its intuitive features and seamless integration into Unity, Rosalina not only simplifies the development process but also helps prevent common pitfalls associated with UI element naming. Whether you're a seasoned developer or just starting with Unity's UI Toolkit, Rosalina offers tools that can drastically improve your workflow.

Features

  • Automatic C# Bindings Generation: Rosalina automatically generates C# scripts for UI bindings, saving you time and reducing manual errors.
  • Editor Window Support: Access Rosalina directly from Unity's editor for effortless management of your UXML files and UI elements.
  • Custom Component Integration: Seamlessly work with custom components while ensuring proper binding without the hassle of manual coding.
  • Error Detection for Duplicates: Rosalina identifies duplicate property names during code generation, ensuring that potential issues are highlighted promptly.
  • PascalCase Conversion: The tool automatically converts dashed-names into PascalCase to comply with C# naming conventions, simplifying the coding process.
  • Three Generator Types: Choose from Document, Component, or Editor generator types to tailor the code generation process to your specific needs.
  • Intuitive Installation Options: Install Rosalina easily via OpenUPM or directly from a Git repository, allowing flexibility based on your development setup.