Ross ROSS = Recommend OSS · open-source software intelligence for agents

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. observed · 2026-08-28

github.com/unslop-xyz/noodles · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

48/100

  • Activity 72
  • Release rhythm 35
  • Longevity 15

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 219
  • days_rel: n/a
  • days_push: 173
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1341 stars · 167 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

cli-tool · maturity active

developer-tools parser data-visualization llm-inference mcp documentation developer-tools documentation large-language-models cli python cross-platform call-graph mermaid-diagrams tree-sitter code-comprehension ai-generated-code static-analysis pr-analysis code-review

1 source

Member repositories

RepositoryRoleHealth v2
unslop-xyz/noodlesmain48

For agents

markdown · JSON · MCP: product_card(name="unslop-xyz/noodles")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem