Semantic Vision – interactive call graph, impact analysis, and code-to-data lineage for Python/JS/TS codebases

Aditya Shah — Thu, 03 Sep 2026 17:38:32 +0000

I built this after spending hours manually tracing a codebase I didn't write — following imports by hand, guessing at blast radius before touching anything, finding a database table involved three levels deep.

The tool statically parses Python (native AST) and JS/TS (tree-sitter) — no LLM guessing, fully deterministic. It builds an interactive call graph with impact analysis, execution flowcharts, a cyclomatic complexity heatmap, AI-generated docs, and code-to-data lineage that traces from a Python function all the way to the specific database column it reads or writes.

Tested against Apache Superset (1,458 files): found 37 tables, 206 columns, and 462 read/write edges automatically with zero configuration.

Three ways to run it:

VS Code extension — backend ships bundled, no Python or uv required
Docker: docker compose up
Local: uv sync + npm install

Everything runs on your machine. No account, no telemetry, no cloud.

Benchmarks against FastAPI (1,138 files), three.js, and NestJS (1,907 files) are in the repo.

Semantic Vision

DEV Community: Aditya Shah

Semantic Vision – interactive call graph, impact analysis, and code-to-data lineage for Python/JS/TS codebases