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Interactive codebase analyzer & visualizer — slice open a project and see how it's wired together.

Project description

CodeBread

Slice open any codebase and see how it's actually wired together.
An interactive, zero-dependency map of files → functions → API routes → database tables.

version python deps license


What is this

CodeBread scans a project, extracts every function and class, maps how everything connects — frontend → API → backend → database — and renders it as an interactive node-graph in your browser. Click a file to slice it open into its functions; click a function to see everything it calls and everything that calls it, with the full chain lit up end to end.

The problem it solves: dropping into a codebase you didn't write — or one an AI generated for you — and not knowing where anything is. Reading files one at a time doesn't build a mental model fast. CodeBread builds the model for you: it finds the routes, follows the fetch() calls to the handlers that answer them, follows the handlers to the tables they touch, and draws the whole path.

Why I built this

This started as a personal tool. I kept generating projects with AI and then staring at the result with no idea how the pieces fit together — which file called which, where the API boundary actually was, what touched the database. I wanted something that would just show me, instead of me grepping through the tree file by file. CodeBread is that tool.

It's a v1.0 — actively used by me on my own projects, and I'll keep adding to it. If it's useful to you too, that's a bonus. Issues and PRs are welcome.

What it's built with

  • Backend/analysis engine: pure Python standard library — no required third-party packages, nothing to pip install beyond Python itself. Parsing is stdlib ast for Python and structural regex for everything else (see language table below).
  • Frontend: vanilla JavaScript + SVG, no framework, no build step, no npm install. The entire UI is three files (app.js, index.html, style.css).
  • Serving: a tiny local server built on http.server from the stdlib.

That's it. Clone it, run it, nothing to compile.


Install

# option A: install the CLI
pip install .

# option B: don't install anything, just run it
python codebread.py --path /path/to/project

Optional extra (better .gitignore matching while scanning):

pip install .[full]        # adds pathspec

Requires Python 3.9+. Nothing else.

Use

codebread --path /path/to/project        # scan + open the UI in your browser
codebread                                # prompts for the path
python codebread.py --path .             # uninstalled, same thing

That's the whole quick start: point it at a folder, a browser tab opens with the map already scanned.

CLI reference

Flag What it does
--path, -p PATH root folder to scan (prompted if omitted)
--port 8137 local server port (auto-picks a free one nearby if taken)
--json out.json export the full graph as JSON
--load out.json re-open a saved scan without re-scanning
--html out.html export a self-contained static HTML file you can share
--diff old.json new.json compare two saved scans and print what changed (files/functions/tables added, removed, changed)
--no-open don't auto-open the browser
--no-serve scan + export only, don't start the server
--version print the installed version

What you get

  • Explorer sidebar — the full folder tree, expandable like a file explorer; every file tagged with its layer color.
  • Orbit layout (default) — files float freely in space, spread apart so connections stay untangled. Expand a file and its functions arrange in a clean ring around it, spoked by straight lines back to the center. A Free force-directed layout is also available (toggle bottom-right).
  • Focus mode — clears the canvas so you inspect one file at a time: pick a file in the Explorer and only it, its functions, and its direct connections show up. Toggle it off to go back to the full overview.
  • Progressive reveal (OSINT-style) — click a file to slice it open into its numbered functions; click a function to draw in what it calls and what calls it. Dense codebases stay readable.
  • Full-chain highlight — select any node and its complete end-to-end chain lights up (frontend fetch()GET /api/users route → handler → users table), everything unrelated dims.
  • Right-click for actions — a context menu on every node, edge, and the empty canvas: reveal connections, focus a file, open it in the IDE view, jump to a route's source/target, copy a name or path, and more.
  • Insights panel — flags orphaned functions (no detected callers) and circular call chains, both clickable to jump straight to them.
  • Diff mode — compare two saved scans (--diff old.json new.json) to see exactly what changed between them.
  • Minimap + breadcrumb — a live minimap of the whole graph with a draggable viewport, and a breadcrumb showing the real folder path of whatever's currently selected.
  • Keyboard navigation/ step through a selected node's neighbors, / walk back/forward through your selection history, / to search.
  • Detail panel — params, return type, auto-generated description ("Function 3 · handles GET /api/users · queries users"), every caller and callee, clickable.
  • View the actual code — every function has an expandable ▸ View code section: syntax-highlighted source with real line numbers. A full IDE view (⌗) opens any file whole, with an outline sidebar.
  • Search (/) and layer filter (Frontend / Backend / Database / Config) in the header.
  • Warnings, never silence — unreadable files, unsupported languages and permission problems show up as ⚠ badges and in the warnings list, never hidden. Secrets found in config files are always masked.

Language support

Language Parser Extracted
Python stdlib ast (precise) functions, classes, params/annotations, docstrings, Flask/FastAPI/Django routes, SQLAlchemy/Django models, raw SQL, requests/httpx calls
JavaScript / TypeScript / JSX / TSX / Vue / Svelte structural regex + brace matching functions, arrow fns, classes, Express/Nest/Fastify routes, fetch/axios calls, Mongoose/Prisma/Sequelize/Knex/TypeORM, raw SQL
Java, C#, Go, PHP, Ruby structural regex functions/methods, classes, Spring/ASP.NET/Laravel/Rails/Gin routes, raw SQL
SQL regex CREATE TABLE schemas with columns
Config (.env, json/yaml/toml/ini, settings.py…) key scan DB connection settings — credentials always masked
Anything else (Rust, Kotlin, Swift, C/C++…) shown in the UI as "⚠ Unsupported — parsing skipped", never silently dropped

How it classifies layers

Score-based heuristics combining framework import signatures (React/Vue → frontend, Flask/Express → backend, SQLAlchemy/Prisma → database), folder conventions (/client, /server, /models…), file extensions, and extracted facts (defines routes → backend, defines models → database). Ambiguous files are marked Unclassified instead of guessed.

How orphan + cycle detection works

  • Orphaned functions: any function/method with zero detected incoming calls, that isn't a route handler and isn't a common framework entry point (__init__, main, setUp, test functions, …). Flagged with a badge on the node and listed in the Insights panel — a good starting point for finding dead code (heuristic, not exhaustive: it can miss calls the static parser doesn't recognize).
  • Circular call chains: an iterative cycle-detection pass over the call graph (no recursion, so it's safe on large codebases) flags functions that call each other in a loop, both on the node (↻ badge) and as a listed chain in the Insights panel.

Project layout

codebread.py              ← runnable entry point (no install needed)
codebread/
  cli.py                  ← argparse CLI
  scanner.py              ← .gitignore-aware recursive walker
  languages.py             ← language detection / binary sniffing
  parsers/
    python_parser.py      ← ast-based Python extractor
    javascript_parser.py  ← JS/TS/Vue/Svelte extractor
    generic_parser.py     ← Java/C#/Go/PHP/Ruby + SQL + config
  classifier.py           ← frontend/backend/database/config scoring
  connections.py           ← call graph + API↔route + fn↔table matching +
                               orphan/cycle detection
  analyzer.py              ← pipeline orchestration
  diff.py                  ← compares two saved scans
  server.py                ← stdlib local web server
  export.py                ← JSON + single-file HTML export
  web/                     ← the UI (vanilla JS + SVG, zero dependencies)
assets/                    ← logo (.svg source + .png for the README —
                               GitHub blocks same-repo SVG <img> embeds)

Roadmap

Already done as of v1.0:

  • Orphaned-function and circular-dependency detection
  • Diff mode between two scans
  • Focus mode, orbit layout, right-click actions, minimap, breadcrumb

Not yet, but planned:

  • "Explain this function" — a plain-language AI summary button
  • More precise multi-language parsing (currently structural regex for everything but Python)
  • An automated test suite

Have an idea? Open an issue.

Contributing

This is a young, actively-changing personal project, so keep that in mind — but contributions are genuinely welcome:

  • Bugs / ideas → open an issue with a repro or a description.
  • Pull requests → welcome, especially for language parser improvements or UI polish. Keep the zero-dependency philosophy: the core tool should keep running on nothing but the Python standard library, and the UI should keep running on vanilla JS with no build step.
  • No formal test suite yet, so please describe how you manually verified a change in your PR.

License

MIT — use it, modify it, ship it, sell it. No attribution required beyond keeping the license file. See LICENSE for the full text.

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