Use AeroSandbox to support real-world aircraft development programs, all the way from your very first sketch to your first-flight and beyond:

Use AeroSandbox to explore counterintuitive, complicated design tradeoffs, all at the earliest stages of conceptual design where these insights make the most difference:

Use AeroSandbox as a pure aerodynamics toolkit:

Among many other disciplines:

Easily interface AeroSandbox with all your favorite tools:

Or, throw all the airplane-design-specific code out entirely, and use AeroSandbox purely as an optimization solver or as a solver for nonlinear systems of equations (or ODEs, or PDEs):

And much, much more. Best of all, combine these tools arbitrarily without any loss in optimization speed and without any tedious derivative math, all thanks to AeroSandbox's end-to-end automatic-differentiability.

Getting Started

Installation

In short:

• pip install aerosandbox[full] for a complete install.

• pip install aerosandbox for a lighter-weight installation. All optimization, numerics, and physics models are included, along with 2D plotting via matplotlib; optional dependencies for 3D visualization, CAD export, and geometry manipulation (e.g., plotly, pyvista, trimesh, cadquery) are skipped.

For more installation details (e.g., if you're new to Python), see here.

Tutorials, Examples, and Documentation

To get started, check out the tutorials folder here! All tutorials are viewable in-browser, or you can open them as Jupyter notebooks by cloning this repository.

For a more detailed and theory-heavy introduction to AeroSandbox, please see the author's PhD thesis and master's thesis.

For a developer-oriented description of AeroSandbox internal modules, please see the developer README.

For fully-detailed API documentation, see the documentation website.

You can print documentation and examples for any AeroSandbox object by using the built-in help() function (e.g., help(asb.Airplane)). AeroSandbox co