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.
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