Star is an open-source re-implementation of a polynomial-time broad-search algorithm for patched-conic interplanetary mission design, originally by Damon Landau.

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License

MIT

Last updated

2026-07-29

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FR-AI / ANALYSIS

Why it is worth attention

It provides a scalable, open-source benchmark for multi-flyby trajectory search, using a unique approach of pre-generated Lambert arcs with powered flybys.

Who it is for

  • Astrodynamics researchers
  • Mission design engineers
  • Aerospace students
  • Space mission planners

Use cases

  • Preliminary interplanetary trajectory design
  • Multi-flyby mission analysis
  • Benchmarking and comparing trajectory search algorithms
  • Educational tool for astrodynamics

Strengths

  • Polynomial-time search algorithm enabling broad searches
  • Contains three algorithms: Star search, efficient maneuver placement, and Lambert solver
  • Provides example problems with reference runtimes and memory estimation
  • Open-source and MIT-licensed, with documentation and tests

Considerations

  • Performance may be lower than original paper's results
  • Requires external SPICE kernels and manual setup
  • Memory and runtime can be high for large problems (e.g., jovian_petal takes ~3h 45min)

README quick start

Quick Start

Description

Python implementation of Star search for patched-conic interplanetary trajectory design

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