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Objective Evaluation
ExodeUI vs Rive
ExodeUI vs Rive for interactive UI: both have timelines, state machines and bones. Compare UI layout, physics, node logic, file formats and AI tooling.
Short answer
The fundamental architectural difference
Rive and ExodeUI both let designers build interactive vector graphics with timelines, state machines and bones, and both render through a runtime on a canvas. Rive is especially mature for animated graphics and characters. ExodeUI is aimed at full product UI: it adds auto layout with breakpoints, a physics engine, node-based logic, multi-screen projects, an open JSON source format and an MCP server for AI agents.
Side-by-side comparison
Feature & Capability Breakdown
| Dimension | ExodeUI | Rive | Advantage |
|---|---|---|---|
| Timelines & state machines | Yes | Yes | Tie |
| Bones & skinning | Yes | Yes, very mature (meshes, constraints) | Rive |
| Full UI layout | Component and layout tools for UI | Layouts for responsive graphics | ExodeUI |
| Physics | Built-in physics engine (collisions, constraints) | Springs and scroll physics | ExodeUI |
| Logic without code | State machines + node logic + variables | State machines, data binding and scripting | Tie |
| Source format | Open JSON (.exode), compiled to .bexode | Binary .riv | ExodeUI |
| Rendering | Canvas, via the ExodeUI runtime | Canvas, via the Rive runtime | Tie |
| Runtimes | React, React Native, Flutter, SwiftUI, Vue, Svelte, Angular, Solid, JS | Web, iOS, Android, Flutter, React Native, game engines | Tie |
| AI agents | MCP server (100+ tools) in the browser and desktop editor | MCP server in the desktop editor, built-in AI Agent and CLI | Tie |
Use cases for Rive
When to choose Rive
- You are animating characters or illustrations that need advanced rigging and mesh deformation.
- You need game-engine runtimes such as Unity or Unreal.
- Your team already has a library of .riv files and Rive workflows.
Use cases for ExodeUI
When to choose ExodeUI
- You are designing whole interface pieces — menus, tab bars, forms, onboarding — with real layout and breakpoints.
- You want built-in physics: drag, throw, collisions and constraints.
- You want an open JSON source that you can diff in git and that AI agents can read and edit.
- You want AI agents to build and edit interactive files through an MCP server, including from the browser editor.
Direct Answers
Frequently Asked Questions
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