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cmake_modules/H15-Oct-2020-513458

doc/sphinx/H15-Oct-2020-64,05663,379

include/keplerian_toolbox/H15-Oct-2020-37,58310,858

pykep/H03-May-2022-11,2058,276

src/H15-Oct-2020-1,107,248218,411

tests/H03-May-2022-5,3223,235

tools/H03-May-2022-469349

.clang-formatH A D15-Oct-20201.8 KiB6261

.gitignoreH A D15-Oct-2020164 1111

.travis.ymlH A D15-Oct-20202.2 KiB7975

README.mdH A D15-Oct-20201.1 KiB1510

appveyor.ymlH A D15-Oct-20201.2 KiB3425

azure-pipelines.ymlH A D15-Oct-20204.9 KiB128118

config.hpp.inH A D15-Oct-2020356 139

keplerian_toolbox-config.cmake.inH A D15-Oct-2020562 1612

main.cppH A D15-Oct-2020433 2216

README.md

1pykep
2=====
3
4[![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)
5
6[![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)
7
8pykep is a scientific library providing basic tools for astrodynamics research. Algorithmic efficiency is
9a main focus of the library, which is written in C++ and exposed to Python using the boost::python library. At the library core
10is the implementation of an efficient solver for the multiple revolutions Lambert's problem, objects representing
11direct (Sims-Flanagan), indirect (Pontryagin) and hybrid methods to represent low-thrust optimization problems,
12efficient keplerian propagators, Taylor-integrators, a SGP4 propagator, TLE and SATCAT support and more.
13
14Check the official documentation at https://esa.github.io/pykep/
15