About |
Guardi.space is a lightweight web-based tool designed for tracking and forecasting satellite collision risks — primarily aimed at CubeSat missions, university projects, and small satellite operators.
It uses publicly available Two-Line Element (TLE) data and the SGP4 model to calculate and visualize potential orbital conjunctions. The system updates every 6 hours and can forecast up to 14 days ahead. For each potential event, the platform estimates relative velocity, closest approach distance, and assigns a basic risk level (High / Medium).
Users can track specific satellites by NORAD ID, receive alerts, and view events on a simple, clear dashboard. There is no need to create an account, and the tool is completely free to use.
Under the hood, Guardi.space runs on FastAPI (Python) and PostgreSQL, with a frontend built in React. Risk estimation includes basic covariance analysis using a simplified implementation of the Chan/Alfano method, allowing better filtering of noisy or low-risk encounters.
The project was created by a DevOps and platform engineer with a background in solar PV systems and a strong personal interest in orbital mechanics and smallsat operations. Guardi.space is not a commercial product — it was built as a practical utility for those in the space community who need lightweight tools without enterprise overhead.
The platform continues to evolve based on feedback from early users in the space operations and university research communities. Suggestions and collaborations are welcome.
For more information or to try the tool, visit: https://guardi.space