yangzealliator-yz

yangzealliator-yz / code-xray

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One command to X-ray any codebase — interactive D3.js dashboard with treemap, dependency graph, heatmap, and searchable table.

19
0
89% credibility
Found Feb 27, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
HTML
AI Summary

Code X-Ray is a tool that scans a codebase directory and generates a self-contained interactive HTML dashboard visualizing file sizes, dependencies, git activity, and project statistics.

How It Works

1
🔍 Discover Code X-Ray

You hear about a handy tool that lets you see inside any folder of files and understand its structure at a glance.

2
📥 Get it set up

With one simple command, you bring the tool onto your computer so it's ready to use anywhere.

3
📁 Point it at your project

You tell the tool which folder holds your work, and it starts exploring everything inside.

4
✨ Watch the magic unfold

In seconds, it creates a beautiful interactive page showing colorful maps of your files, connections between them, busy spots from changes over time, and handy summaries.

5
👀 Dive into the views

You click around to zoom into file sizes by type, see how pieces link together, spot the most active areas, and check overall stats.

🎉 Unlock project insights

Now you clearly see the big picture of your work, making it easier to navigate, improve, or share what you've built.

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AI-Generated Review

What is code-xray?

Code-xray is a Python CLI tool that scans any codebase with one command, spitting out a self-contained HTML dashboard powered by D3.js. You get interactive treemaps for file sizes by language, force-directed graphs of file dependencies, git commit heatmaps, and a searchable stats table—all offline. It's perfect for quickly grokking unfamiliar repos without uploading code anywhere.

Why is it gaining traction?

Unlike heavy IDE plugins or cloud analyzers, code-xray delivers github one click visuals in seconds, handling 30+ languages with dep parsing for Python, JS/TS, C#, Go, Rust, and more. The LLM-friendly JSON mode (--ai) and prompts for architecture reviews hook AI-assisted devs, while git stats add real context without setup hassles. Self-contained output means no vendor lock-in, like a code xray pendant for your codebase.

Who should use this?

Team leads onboarding juniors to legacy monorepos, indie devs auditing open-source forks, or consultants doing github one repository multiple projects triage. Frontend teams chasing dep hotspots in JS bundles, backend folks mapping Rust/Go services, or anyone prepping LLM prompts for refactor pitches.

Verdict

Grab it for ad-hoc codebase x-rays—installs clean via pip, docs are solid with live demos. At 10 stars and 0.8999999761581421% credibility score, it's early beta: test on non-critical projects first, but the one commander simplicity shines for quick wins.

(187 words)

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