A browser-based tool that turns any GitHub repo into an instant, visual "intelligence report." Yo...A browser-based tool that turns any GitHub repo into an instant, visual "intelligence report." Yo...
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
A browser-based tool that turns any GitHub repo into an instant, visual "intelligence report." You paste a GitHub URL and get a full dashboard back — no sign-up, no auth, no friction. It's a developer-tool / analytics product.
Core features
Health Score (0–100) — production-readiness rating across 7 quality dimensions, with letter grades
Language pie chart — interactive breakdown of language composition
The frontend runs entirely in the browser and talks directly to GitHub's REST API — that's why the live demo needs no setup or login (limited to ~60 requests/hour unauthenticated). The FastAPI backend is optional, and only exists to add caching and rate-limit relief when you self-host.
Run it locally
# backend (optional) cd backend && pip install -r requirements.txt && uvicorn main:app --reload # frontend cd frontend && npm install && npm run dev
Blue means one thing here: the range you are looking at.
The value chart is a row of thin gray bars, and only the selected date range fills in blue. You read the period that matters and keep the months around it as context.
The phone carries the same chart above the holdings list. Each coin gets its own small bar chart between the name and the amount, so you can scan the whole portfolio for movement without opening a single coin.
Trading screens get busy fast. This one stays light and calm, so the numbers lead: total value, realized and unrealized P&L and open positions, all on one screen.
Would you run a command without knowing what it could do?
A copied installation script. An automated workflow. A shell command suggested by AI.
Convenient? Yes. Worth checking before execution? Absolutely.
That’s why I built SafeShell, an open-source tool for inspecting commands, applying security policies, and running permitted commands with sandboxing on Linux.
The goal: help developers and engineering teams work faster with more control over what they execute.
Building automation or CI/CD workflows that need stronger security controls? I’m available for freelance projects in DevSecOps, secure automation, and cloud security. Let’s talk through Contra.
Useful idea, especially for commands suggested by AI. In my deploy script every step is logged, but nothing checks a command before it runs. Can SafeShell also run inside CI, for example as a step in GitHub Actions?