This project provides tools for analyzing and visualizing orbital paths, debris density, and collision risks in space. The project uses Python libraries such as PyVista, Plotly, Pandas, and Matplot…

Risk assessment framework using Conjunction Data Messages (CDMs) and AI-driven analytics to improve satellite collision avoidance strategies.

SCORE - Satellite Collision Risk Notifier

Matlab scripts & GUI for collision avoidance of satellites

"A real-time space debris monitoring system that fetches data from the Space-Track API to track satellite and debris collisions. This system sends email alerts when a satellite is at risk of hittin…

Space activity situation (alerts & launches)

Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

SIADS-591 Milestone I Project - Orbital Congestion

Python client for space-track.org

Voro++: a three-dimensional Voronoi cell library in C++

In-orbit debris impact simulation and prediction

Machine learning future satellite position prediction

A framework for collision probability distribution estimation via deep temporal difference learning

A project for Web API to predict a satelite orbit using C++ Library (OrbitTools).

**Space Traffic Density Prediction** analyzes orbital data to forecast object movements, prevent collisions, and optimize satellite paths. It ensures safer and sustainable space operations.

Orbital Propagation Interface

Real-time 3D visualization of space.

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

web application for active low earth orbit satellites showing near-real time the position and altitude among other things

Orbital Maneuver Detection for Spacecraft Navigation and Control develops algorithms to detect and analyze spacecraft orbital maneuvers in real-time. It integrates with navigation systems to enhanc…

AmbaSat-1 : The Low Earth Orbit Space Satellite Development Kit

A python wrapper to extract data from the ESA's DISCOS database. Soon to come: plotting functions.

A pytorch implementation of Fourier Analysis Networks (FAN)

Unofficial implementation of "Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns"

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

This project utilizes a new encoder-decoder based architecture using temporal CNNs to predict the position and velocity of several satellites

This project is for the paper: Relativistic Electron Flux Prediction at Geosynchronous Orbit Based on the Neural Network and the Quantile Regression Method.