We present a web-native neural visualization system
combining Three.js WebGL rendering with robust WebSocket
streaming for real-time voxel field display. Our client sustains 60
FPS with median latency ∼20 ms and p99 <50 ms across 163
–
643
voxel densities, with JSONL telemetry and auto-figures for
reproducible analysis. The React/TypeScript client implements
exponential backoff reconnection, live performance monitoring
(p50/p99 latency tracking), and comprehensive metrics export
via JSONL format. Performance analysis demonstrates scalable
bandwidth utilization and consistent frame timing with stutter
rates below 2.5%. The complete implementation includes automated figure generation, statistical analysis tools, and a synthetic
data server for development and testing.