Depth Parallax Scene
A production-ready TypeScript 2D parallax engine that creates immersive depth effects through cursor and device movement tracking — no 3D libraries or runtime dependencies required. Unlike typical parallax libraries that only shift background images, Depth Parallax Scene delivers a complete visual effects engine with physics-based animations, atmospheric haze rendering, and velocity-based motion blur, all rendered through the native Canvas 2D API.
Built for Web developers and designers building customer-facing websites, landing pages, and portfolios who need engaging visual effects
Interactive Preview
Live frontend preview with mock data, the full product includes the complete source code and backend
This zero-dependency solution ships as a single compiled JavaScript file that works everywhere Canvas is supported. The engine features smoothed lerp physics for natural movement, mobile gyroscope integration with iOS 13+ permission handling, and snap-back animations when users disengage. Three professionally-designed scenes (Nocturne, Summit, Drift) are included as starting points, or you can define custom layer configurations directly in JavaScript.
Perfect for hero sections, landing pages, and portfolio sites, the engine integrates in minutes across any platform. Drop the minified script into Webflow, Shopify, or vanilla HTML and initialize with one line of code. For React/Next.js projects, a simple useEffect wrapper handles SSR safety and cleanup. The download includes the compiled engine, TypeScript source for customization, integration guides for major platforms, and an AI context document for assisted development.
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Rebrand and resell to unlimited clients, full white-label rights and BRANDING.md guide included.
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Everything you need to ship, no surprises.
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- Full source code
- GRID_AI_CONTEXT.md included
- 12 months of updates
- Commercial license
- White-label rights
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Disclaimer: This product is sold as-is under the Grid Theory Library Terms. All purchases are final. Products are delivered as source code and are intended for use by developers and technical teams. Grid Theory makes no guarantees regarding fitness for a particular purpose, uptime, or compatibility with third-party services. The interactive preview shown on this page uses mock data and may not represent the full functionality of the delivered product. White-label rights, where applicable, permit rebranding and redistribution under the terms of the license agreement , resale of the original source code as a standalone product is prohibited. By purchasing, you agree to the Terms of Service and Privacy Policy.


