Trajectory optimization and astrodynamics in Python using ASSET, with mission-script APIs.
Project description
Octavian
Octavian is a Python-first astrodynamics / trajectory-optimization toolkit built on ASSET (asset_asrl).
This MVP includes:
- Two-impulse rendezvous with bounded free final time (single coast phase)
- Two-impulse rendezvous with bounded variable pre-coast (two phases + link Δv objective)
- Lambert-izzo seed sweeps across TOF / longway / multi-rev (ASSET's
Astro.lambert_izzo) - Fast two-body initial guesses via ASSET Kepler propagation (
Astro.propagate_cartesian) - Plotly HTML visualization with maneuver markers
octavian can be installed from PyPI, but ASSET must still be installed separately for solver-backed workflows.
Install
pip install octavian
If you plan to run the optimization solvers, install asset_asrl separately in the same environment.
Examples
python examples/quick/01_two_impulse_free_time.py
python examples/quick/02_two_impulse_precoast_impulsive_link.py
Development
pip install -e ".[dev]"
pre-commit install
python -m build
pytest
Studies
Use octavian.study.grid to run parameter sweeps and optionally save results to disk.
Releasing
Release versions are published from Git tags such as v0.1.3 by GitHub Actions. Maintainer steps are documented in RELEASING.md.
Project details
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