# unslop-xyz/noodles

Your codebase was probably AI-generated. Get a better handle on it. Noodles creates interactive diagrams that visualize how your code actually works, so you can understand what the AI built without reading every line.

Repository: https://github.com/unslop-xyz/noodles
Canonical: https://ross.abutalabs.com/products/noodles
Language: Python
License: MIT
License Family: permissive
Last push: 2026-03-13T20:52:45+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 72, release rhythm 35, longevity 15
- inputs: {"age_days": 219, "days_push": 173, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1341, forks 167 (observed 2026-08-28T04:04:26.092512+00:00)

## What it is
Noodles is a Python CLI tool that builds function call graphs from codebases using tree-sitter AST parsing and renders them as interactive Mermaid diagrams. It can analyze whole repositories or GitHub PRs, optionally enriching nodes and edges with LLM-generated descriptions, and also runs as an MCP server for Claude Code integration.

## Use cases
- understand an AI-generated codebase without reading every line
- visualize how a repository's code flows as an interactive diagram
- see what changed in a GitHub pull request
- find which functions call a given function
- integrate code analysis into Claude Code via MCP

## When to choose
- you inherited or generated a large codebase and need a quick structural overview
- you want call-path and caller/callee queries across a repo
- you want PR-level visual summaries of code changes

## When to avoid
- you need deep semantic analysis beyond call graphs (types, data flow)
- your project is in a language tree-sitter setup doesn't cover well
- you don't want to provide an LLM API key for readable descriptions

## Facets
- artifact type: cli-tool
- maturity: active
- function: developer-tools, parser, data-visualization, llm-inference, mcp, documentation
- domain: developer-tools, documentation, large-language-models
- platform: cli, python, cross-platform
- tags: call-graph, mermaid-diagrams, tree-sitter, code-comprehension, ai-generated-code, static-analysis, pr-analysis, code-review

## Member repositories
- unslop-xyz/noodles (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:26.092512+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:43:46.304321+00:00, confidence not recorded.
  - readme: https://github.com/unslop-xyz/noodles (fetched 2026-08-28T04:04:26.092512+00:00, sha a7c5dddbf4a5)
- Data as of 2026-08-30T08:39:29.467469+00:00.