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

Build Status DOI

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
  • Rick Fenrich
  • Tarik Orra
  • Tim MacDonald
  • Tim Momose
  • Tom Economon
  • Trent Lukaczyk

Contributing Institutions

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.

Packages

No packages published

Languages

  • Python 100.0%