batinbugday / SUAVE

An Aircraft Design Toolbox

SUAVE: An Aerospace Vehicle Environment for Designing Future Aircraft

SUAVE is a multi-fidelity conceptual design environment. Its purpose is to credibly produce conceptual-level design conclusions for future aircraft incorporating advanced technologies.

License: LGPL-2.1

Guides and Forum available at suave.stanford.edu.

Contributing Developers

• Andrew Wendorff
• Anil Variyar
• Carlos Ilario
• Emilio Botero
• Francisco Capristan
• Jordan Smart
• Juan Alonso
• Luke Kulik
• Matthew Clarke
• Michael Colonno
• Michael Kruger
• Michael Vegh
• Pedro Gonçalves
• Rick Fenrich
• Tarik Orra
• Theo St. Francis
• Tim MacDonald
• Tim Momose
• Tom Economon
• Trent Lukaczyk
• Walter Maier

Contributing Institutions

• Stanford University Aerospace Design Lab (adl.stanford.edu)
• Embraer (www.embraer.com)
• NASA (www.nasa.gov)

Simple Setup

git clone https://github.com/suavecode/SUAVE.git
cd SUAVE/trunk
python setup.py install

More information available at download.

Requirements

numpy, scipy, matplotlib, pip, scikit-learn

Developer Install

See develop.