The next generation Python API for STK

An ontology of space situational awareness.

Data Driven Thermospheric Density Modeling with Machine Learning

Autonomous Space Traffic Risk Analyzer

The Orbital Debris Ontology (ODO) is an ontology of the orbital debris domain, containing classes for orbital entities and concepts, such as the types of orbital debris.

Satellite Orbit Propagation as a Service. gRPC API for U.S. Space Force (USSF) SGP4 / SGP4‑XP propagator. Catalog‑scale satellite processing, ephemeris generation, and built‑in mem. management. Written in Go

Open-source satellite conjunction assessment pipeline — TLE ingest, SGP4 propagation, collision probability (Foster/Chan/Alfano), 3D CesiumJS globe, fleet ops, maneuver planning

This repository includes all the necessary routines to run the CAM optimization with the method described in Pavanello et al. 2024.

ARACHNID: A Neuromorphic Camera Array System for Space Situational Awareness.

Proyecto del Máster en Ingeniería de Telecomunicaciones (UAM) sobre clasificación de satélites y debris orbital usando datos TLE y Machine Learning (SVM, RF, XGBoost) en Python.

AI system that learns how satellite collision risk evolves over time. Built in 24hrs at ActInSpace 2026 with skip-connection LSTM architecture.

DA-MMAE Reachable Sets Framework Novel integration of Differential Algebra and Multiple Model Adaptive Estimation for fast uncertainty propagation and real-time detection of unknown impulsive maneuvers in orbital dynamics. Enables robust orbit determination and reachable-set computation for space situational awareness and autonomous space mission.

Space-Situational-Awareness-Operationsplattform mit FastAPI-Backend, Redis-Mission-Bus, Docker-Microservices, Security-Monitoring und Chaos-Injection.

Production-grade Space Surveillance and Tracking Platform: SGP4 propagation, conjunction detection, REST API, interactive dashboard

Verteiltes Testbed für Space Situational Awareness (SSA): Docker-basierte FastAPI-/Worker-Architektur zur Analyse von orbitalen Konjunktionsereignissen mit PostgreSQL-Backend und optionalem QEMU-Sensor-Node.

The OSEO (or OSO-Orbital Space Ontology) is conceived as an alternative to the SSAO. The latter was originally described as the overall domain, but by demarcating the domain more precisely the OSEO/OSO name may better capture the overall domain. Name change is TBD, pending further researcher and domain demarcation.

CelesTrak GP ve Space-Track CDM verilerini birleştirerek 3.000+ uzay objesini takip eden, SGP4 propagasyon ile anlık konum hesaplayan, KD-Tree uzaysal indeksleme ile verimli yakınlaşma taraması yapan ve ardından CollisionNet (ONNX) derin öğrenme modeli ile çarpışma olasılığını (Pc) tahmin eden bir platform.

Data analysis of orbital debris risk in LEO. Merges SATCAT and UCS data into a normalized SQLite database, reconstructs missing orbital periods and dry mass, and calculates velocity and kinetic energy for all objects. Answers when debris growth went exponential, where risks cluster, and who left the most dead payloads.