Welcome to Polaris’s documentation!

Polaris is an open source (LGPLv3) project that analyzes satellite telemetry using machine learning. It is a project of the Libre Space Foundation.

Want to get started quickly? Have a look at Getting started with Polaris.

Polaris has a number of different commands:

• polaris fetch will download and normalize satellite telemetry from the SatNOGS network (or you can import your own).

• polaris learn will analyze the telemetry, produce a model of the connections between telemetry components, and save a dependency graph for visualization.

• polaris viz is an interactive, browser-based 3D visualization of that dependency graph.

• polaris convert will convert graph output from polaris learn to another file format (like .gexf).

• polaris behave will detect anomalies in telemetry data and produce a json report of all the data and anomaly produced.

• polaris report will show the results obtained by polaris behave in web-based interactive formats like anomaly visualisation, individual telemetry comparison etc.

• For more details about how Polaris works, see Overview, or watch our presentation at the 2020 Cubesat Developer’s Workshop.

• Would you like to join the community? We’d love to get to know you! Join our chat room here and introduce yourself.

• If you’d like to work with us through the Google Summer of Code, have a look at our notes for GSoC applicants.

• For other presentations on Polaris, see Presentations on Polaris: Past and Future.

Site contents

Quick start

• Quick install
• Prerequisites
• Installing Polaris
• Running your first analysis: LightSail-2
• Conclusion
• Next Steps

Overview

• Overview

Contributing

• Gitlab repo
• Chat