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
Juan Alonso
Luke Kulik
Michael Colonno
Michael Kruger
Michael Vegh
Tarik Orra
Tim MacDonald
Tim Momose
Tom Economon
Trent Lukaczyk

Contributing Institutions

Stanford University Aerospace Design Lab (adl.stanford.edu)
Embraer (www.embraer.com)
Intelligent Automation Inc. (www.i-a-i.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.

Frequently Asked Questions

See FAQ.