bilawalsidhu/gods-eye-view

A spy satellite simulator in your browser, except the data is real. Live open source spatial intelligence on a photorealistic 3D globe.

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Summary Information

Updated 17 minutes ago
Added to GitGenius on August 28th, 2026
Created on June 22nd, 2026
Open Issues & Pull Requests: 87 (+0)
GitHub issues: Enabled
Number of forks: 2,291
Total Stargazers: 11,341 (+72)
Total Subscribers: 242 (+2)

Repository Insights (GitGenius)

Median issue/PR response: 4.6 hours
Mean response time: 20.5 hours
90th percentile: 2.5 days
Tracked items: 26

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Almost all tracked open issues have seen activity in the last three months. Only 3% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 56
New in 7 days: 61
Closed in 7 days: 6
Avg open age: 3 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 61
Closed in 7 days: 6
Comments in 7 days: 12
Events in 7 days: 27

Top labels

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Detailed Description

God's Eye View is a real-time geospatial intelligence platform that visualizes live public data on a photorealistic 3D globe in your browser.

The tool addresses the fragmentation of open-source intelligence by consolidating publicly available signals—aircraft transponders, ship beacons, satellite positions, seismic data, and public cameras—into a single interactive interface. Rather than requiring users to monitor multiple browser tabs and data sources, it renders these feeds on a 3D Earth model with smooth interpolation and clearly distinguishes between live data, simulated content, and unavailable sources. The platform runs client-side in the browser, includes voice control powered by a realtime AI agent, and maintains transparency about data freshness and source attribution for each layer.

Developers and researchers interested in geospatial visualization, open-source intelligence, or spatial data integration should consider this tool. It suits projects requiring real-time tracking of aircraft, maritime traffic, satellites, or seismic activity, as well as applications that need to display multiple heterogeneous data streams on a unified globe interface. The project is built on Cesium and WebGL, making it suitable for teams already working within that ecosystem. The README does not compare it to alternative platforms.

The project maintains active development with regular updates to live data integrations and visualization features. The codebase is fully inspectable and open to community contribution, with documentation covering quick-start setup, API key configuration, and cost considerations for running live data feeds. The tool deliberately exposes its data sources and processing logic, treating transparency about what is live versus simulated or reconstructed as a core design principle rather than an afterthought.