kesslerlib/kessler
A machine learning library for spacecraft collision avoidance
This project helps space operations engineers and satellite operators manage the risk of spacecraft collisions. By inputting data about satellite trajectories and orbital debris, it uses machine learning to assess collision probabilities and provide insights for avoidance maneuvers. The output helps users make informed decisions to protect active satellites.
No commits in the last 6 months.
Use this if you need to perform advanced simulation-based inference and machine learning for space collision avoidance and assessment.
Not ideal if you are looking for a simple, off-the-shelf collision warning system without needing to integrate machine learning models.
Stars
65
Forks
19
Language
Python
License
GPL-3.0
Category
Last pushed
May 27, 2025
Commits (30d)
0
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