A modern astrodynamics library providing high-fidelity orbital mechanics, coordinate transformations, and space environment models in Rust and Python.

A Model Context Protocol (MCP) server exposing the brahe astrodynamics library for use with AI assistants and LLM-powered tools

Differentiable astrodynamics library built on JAX for GPU-accelerated orbital mechanics and gradient-based optimization

Out of this World Model (OWM). World model training for space applications, learning to predict spacecraft dynamics for rendezvous and proximity operations from limited experience data.

Training data environments for the Out of this World Model (OWM) world model, providing the simulated spacecraft scenarios used to generate experience data.

An optimization tool for selecting optimal ground station networks for low-Earth orbiting satellites using integer programming.

A Python utility for generating uniformly distributed random points constrained to land areas on Earth's surface.

Ansible playbooks and configuration scripts for setting up a bare-metal Kubernetes (k3s) cluster on Raspberry Pi hardware.

A Julia package for satellite dynamics and astrodynamics providing orbit propagation, coordinate transformations, and space environment models.

Python bindings for the IAU SOFA (Standards of Fundamental Astronomy) library, enabling access to precision astronomical routines from Python.

A Julia package for satellite task planning and scheduling, implementing algorithms for Earth observation satellite constellations.

Julia bindings for the IAU SOFA (Standards of Fundamental Astronomy) C library, providing access to precision astronomical algorithms.

Rust bindings for the IAU SOFA (Standards of Fundamental Astronomy) library, providing high-precision astronomical algorithms.