Most people have no idea how much real-world data is sitting in public APIs, free for anyone to query. Flights, satellites, ocean vessels, active wildfires, seismic events, submarine cables — all of it is out there. What’s been missing is a single interface that pulls it together into something a human can actually read. That’s exactly what God’s Eye View does.
It’s a free, open-source project on GitHub that renders a live, interactive 3D globe in your browser and lets you stack data layers on top of it like a professional intelligence analyst would — without needing to be one.
What You’re Actually Looking At
At its core, God’s Eye View is a visualization platform wired up to a collection of public data sources. Turn on the flights layer and you’ll see thousands of commercial aircraft moving in near-real time across every continent. Switch to military traffic and those show up in a separate color. Flip on satellites and you get a dense swarm of objects in orbit, each one clickable with orbital details.
Other layers worth knowing about:
- Vessels — cargo ships, tankers, and ferries plotted across the world’s oceans
- CCTV cameras — publicly accessible street cameras in select cities, with a time delay built in for privacy
- Street traffic — anonymized congestion data, similar to what you’d see in Google Maps but overlaid on the globe
- NASA FIRMS — thermal satellite imagery that flags active fires anywhere on Earth
- Earthquakes — recent seismic events with magnitude data
- Submarine cables — the physical fiber routes running under every ocean
- Data centers — mapped infrastructure locations by region
- Space missions — recent and upcoming launches with approximate trajectory replays
The result is something between a war-room dashboard and a sandbox for curiosity. You can zoom into your own city, pull up the CCTV layer, and see which public cameras are active near you. You can find a cluster of military aircraft over a region and ask the built-in AI assistant why they’re concentrated there — it’ll often explain nearby bases or training routes.
Why This Isn’t a Privacy Nightmare
The obvious first reaction is concern. If someone can pull up CCTV feeds and track flights in real time, can they use this to follow a specific person?
The short answer is no, and the design choices are deliberate. The CCTV feeds update roughly every ten minutes — you’re getting a snapshot, not a live stream. Traffic data is fully anonymized; there’s no vehicle identification, no license plates, no individual tracking. Flight tracking works the same way it does on any public flight-status site — you can see that a Delta 737 is on approach to Atlanta, but that’s public information that’s been available for years.
The platform is built specifically around infrastructure and macro-level situational awareness, not individual surveillance. It won’t help anyone find where a specific person is standing right now. What it will do is show you the density of air traffic over a military zone, or which ocean shipping lanes are busiest on a Tuesday afternoon.
All the underlying data was already public. This tool just makes it legible to people who aren’t developers.
How to Get It Running
The project lives on GitHub and is genuinely accessible to install, even if you’ve never touched a terminal.
- Copy the GitHub repository URL from the God’s Eye View project page.
- Open an AI coding assistant — Claude, ChatGPT’s desktop app with Operator, or similar — create a local project folder, and give it a simple prompt: Clone this repo, read the setup instructions, install dependencies, and tell me what I need to do to finish.
- The agent handles the cloning and dependency installation. Total time is usually under two minutes.
- Once it’s running locally, open the app in your browser. A basic globe loads immediately.
- Head into the Power Up / Provider Settings panel to add API keys. Each key has a direct link to where you can generate it. Most of the underlying APIs have free tiers that cover casual personal use.
If you skip the voice interaction feature (which routes through a real-time AI API and can get costly at scale), running the tool for personal, non-commercial use costs close to nothing — a few dollars a month at most, even with heavy use.
The More Serious Use Cases
Beyond the obvious fun of watching planes land at busy airports in cockpit view, the platform has real analytical utility.
Journalists and researchers have used it to reconstruct disaster timelines. When a major flood event occurs, satellite providers often open their imagery temporarily, and you can overlay the flood’s progression on the globe alongside user-generated video geotagged from the affected area — turning a chaotic social media feed into a spatial, chronological record.
The NASA FIRMS layer makes wildfire monitoring genuinely useful. Zoom into any region with active detections and you get a clear picture of where thermal anomalies are concentrated — handy during fire season if you live in a high-risk area and want something more precise than a county alert.
The earthquake layer is similarly practical. After a significant event, you can immediately pull up the affected region, see the magnitude and location plotted accurately, and cross-reference it with nearby infrastructure layers like dams or data centers.
The Bigger Point
Public data has always existed. The barrier was knowing it existed, knowing how to query it, and knowing how to make sense of it visually. Tools like this collapse all three barriers at once.
If you want to understand what’s actually happening in the physical world — not through a filtered social media feed or a pundit’s interpretation, but through the raw underlying data — this is one of the most practical ways to do it. Download it, spend an hour with it, and you’ll see the world differently.
