Real Production Codebases Analyzed

Code Analysis Demos (As Of 04MAY2026)

Explore architectural insights from 8 frameworks across 7 languages - including PViz analyzing itself!

Supermemory

Typescript

AI memory engine — polyglot architecture spanning TypeScript, Python, JavaScript, MJS, and CSS

View on GitHub13.7k stars
Supermemory logo
Repository
Typescript
452
Files Analyzed
1,036
Functions
71.3k
Lines of Code
2.2
Coupling Density
Circular Dependencies1 groups
God ModulesNone ✓
Coupling QualityGood

Key Findings

✓

Polyglot bundle: 399 TypeScript files, 39 Python files, plus MJS, JavaScript, and CSS support files across 452 bundled nodes

✓

1,013 edges including 49 reexport and 4 dynamic import edges; average coupling of 2.2

⚠

1 SCC detected: 3 files participate in a minor cycle

ℹ

packages/lib/utils.ts is the most imported node with 141 importers — a classic utility hub pattern

Download the Analysis Bundle

Both formats contain the complete structural analysis. Choose based on how you plan to use it.

Compressed Bundle

793 KB

Abbreviated field names, minimal whitespace. Sized to fit an LLM's context window so you can paste the full architecture into Claude, GPT, or Cursor.

  • Fits LLM context windows
  • Faster parsing & loading
  • Ideal for programmatic use
Download Compressed

Readable Bundle

1,954 KB

Full field names, pretty-printed JSON. Useful for exploring the schema and understanding exactly what PViz captures before running it on your own repo.

  • Self-documenting structure
  • Explore the full schema
  • Understand output before signing up
Download Readable

Ready to run this on your own codebase?

3,000 free tokens on signup — no subscription required.

Analyze your repo free