Quantum Visualizer

The legendary God View visualization engine with million-edge rendering capabilities. Transform codebase analysis into interactive 3D visualizations with WebGL-powered performance, mesh edge rendering, and GPU picking. From startup MVP to FAANG monorepo without breaking a sweat.

God View

Million-edge interactive visualization engine. Upload DOT graph files for WebGL-powered 3D exploration.

Upload DOT Graph

✅ 10k nodes / 100k edges ≥ 60 FPS

✅ 1M edges with GPU picking

CSV Analyzer

Upload CSV files for traditional chart generation and data analysis.

Upload CSV

Quantum Visualization Engine

Generates comprehensive visualization suites: sunburst, force-directed, hierarchical, scatter plots, histograms, and HTML dashboards. Perfect for codebase analysis or any structured data.

Chart will be rendered here.

Million-Edge God View Engine

WebGL-powered visualization that scales from startup MVP to FAANG monorepo

Performance Targets Hit

✅10k nodes / 100k edges ≥ 60 FPS (labels off)

✅1M edges: pan/zoom ≥ 30 FPS with culling

✅GC pauses < 4ms p95 (monitored)

✅Click-to-code < 120ms (GPU picking)

Core Technologies

Mesh Edge Renderer

Single draw call for all edges via instanced rendering

WebGL Renderer V2

Select lens, shadow mode, LOD system with performance monitoring

GPU Picking System

ID buffer rendering for instant node/edge selection

Memory Optimization

24MB for 1M edges (12MB with 16-bit quantization)

The Complete Analysis Workflow

See how Codebase Navigator and Quantum Visualizer work together to transform code into insights

1. Analyze Codebase

Codebase Navigator creates timestamped analysis packages with markdown reports, DOT/SVG call graphs, neural embeddings, and structured data.

2. Feed to Visualizer

Navigator output flows into Quantum Visualizer, generating quantum_visualizations/ folders with 10+ chart types and interactive HTML dashboards.

3. Interactive Insights

View sunburst diagrams, force-directed graphs, hierarchical layouts, scatter plots, edge weight histograms, and comprehensive statistics in interactive HTML dashboards.

Check out real examples in our public repository with complete analysis outputs and visualizations.