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Trajectory optimization and astrodynamics in Python using ASSET, with mission-script APIs.

Project description

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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.
  • Two-impulse rendezvous with bounded variable pre-coast.
  • Composable coast phases with continuous or impulsive links.
  • Terminal state, terminal delta-v, path, and orbital-element constraints.
  • Finite chemical-burn phases with mass depletion and three thrust-direction controls.
  • J2 perturbation support in the composable ASSET backend.
  • Lambert-Izzo seed sweeps across time of flight, longway, and multi-rev cases.
  • Plotly HTML visualization with maneuver markers.

octavian declares ASSET (asset_asrl) as a runtime dependency because the solver-backed workflows rely on it.

Install

pip install octavian

For an isolated install:

python -m venv .venv
.venv\Scripts\activate
python -m pip install --upgrade pip
python -m pip install octavian

Before running solver-backed examples, verify ASSET imports in the active environment:

python -c "import asset_asrl; print(asset_asrl.__file__)"

Examples

python examples/quick/01_two_impulse_free_time.py
python examples/quick/02_two_impulse_precoast_impulsive_link.py
python examples/composable/08_chemical_burn_j2.py

See the MkDocs site for tutorial-style walkthroughs of every example and mission pattern.

Documentation

The docs are built with MkDocs and publish through GitHub Pages.

pip install -e ".[dev]"
python -m mkdocs serve
python -m mkdocs build

When GitHub Pages is enabled for the repository with Source: GitHub Actions, the docs workflow publishes the site from pushes to dev.

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 v0.1.5 by GitHub Actions. Maintainer steps are documented in RELEASING.md.

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