https://github.com/esa/pykep

PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.
https://github.com/esa/pykep

aerospace astrodynamics interplanetary mission-analysis

Last synced: 6 days ago
JSON representation

PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.

• Host: GitHub
• URL: https://github.com/esa/pykep
• Owner: esa
• License: gpl-3.0
• Created: 2013-03-12T20:11:29.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2023-04-17T15:04:13.000Z (almost 2 years ago)
• Last Synced: 2024-04-14T10:15:28.242Z (10 months ago)
• Topics: aerospace, astrodynamics, interplanetary, mission-analysis
• Language: C++
• Homepage: http://esa.github.io/pykep/
• Size: 56.8 MB
• Stars: 324
• Watchers: 38
• Forks: 91
• Open Issues: 21
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

• awesome-robotic-tooling - pykep - A scientific library providing basic tools for research in interplanetary trajectory design. (Planning and Control / Vector Map)

README

        
pykep

=====

[![Join the chat at https://gitter.im/esa/pykep](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/esa/pykep?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

[![Build Status](https://api.travis-ci.org/esa/pykep.svg?branch=master)](https://travis-ci.org/esa/pykep) [![Code Health](https://landscape.io/github/esa/pykep/master/landscape.svg?style=flat)](https://landscape.io/github/esa/pykep/master)

pykep is a scientific library providing basic tools for astrodynamics research. Algorithmic efficiency is

a main focus of the library, which is written in C++ and exposed to Python using the boost::python library. At the library core

is the implementation of an efficient solver for the multiple revolutions Lambert's problem, objects representing

direct (Sims-Flanagan), indirect (Pontryagin) and hybrid methods to represent low-thrust optimization problems,

efficient keplerian propagators, Taylor-integrators, a SGP4 propagator, TLE and SATCAT support and more.

Check the official documentation at https://esa.github.io/pykep/