Particle Flow Network
A production-ready React visualization component for rendering interactive node-graph networks with 60fps particle animations — built for developers who need to visualize complex systems like microservices architectures, data pipelines, or organizational structures in real-time. Unlike typical network visualization libraries that render static diagrams, Particle Flow Network brings your system topology to life with flowing particles that represent actual traffic, animated status indicators showing service health, and a physics engine that creates organic, breathing layouts. Ships as a complete React 18 + TypeScript application with Canvas-based rendering, customizable physics simulation, WebSocket support for live updates, and comprehensive white-labeling options — drop it into any React dashboard in 15 minutes or build a standalone monitoring tool your ops team will actually use.
Built for Developers, DevOps engineers, technical founders, and teams who need to visualize and monitor complex interconnected systems in real-time
Interactive Preview
Live frontend preview with mock data, the full product includes the complete source code and backend
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Rebrand and resell to unlimited clients, full white-label rights and BRANDING.md guide included.
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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.


