Computational geometry open source

If you are looking for a good Python tool to do computational geometry, look no further than Shapely Shapely is a powerful Python package designed to help you process and analyze geometric objects.
With Shapely, you can create, manipulate, and analyze .
1. D and
2. D geometric shapes with ease

The Computational Geometry Algorithms Library (CGAL) is an open source software library of computational geometry algorithms. While primarily written in C++, Scilab bindings and bindings generated with SWIG (supporting Python and Java for now) are also available. The software is available under dual licensing scheme.

OpenLB is an object-oriented implementation of the lattice Boltzmann methods (LBM).
It is the first implementation of a generic platform for LBM programming, which is shared with the open source community (GPLv2).
The code is written in C++ and is used by application programmers as well as developers, with the ability to implement custom models
OpenLB supports complex data structures that allow simulations in complex geometries and parallel execution using MPI, OpenMP and CUDA on high-performance computers.
The source code uses the concepts of interfaces and templates, so that efficient, direct and intuitive implementations of the LBM become possible.
The efficiency and scalability has been checked and proved by code reviews.
A user manual and a source code documentation by DoxyGen are available on the project page.

Open source parametric aircraft geometry tool

OpenVSP, also known as Open Vehicle Sketch Pad, is an open source parametric aircraft geometry tool originally developed by NASA.
It can be used to create 3D models of aircraft and to support engineering analysis of those models.
Predecessors to OpenVSP including VSP and Rapid Aircraft Modeler (RAM) were developed by J.R.
Gloudemans and others for NASA beginning in the early 1990s.
OpenVSP v2.0 was released as open source under the NOSA license in January 2012.
Development has been led by Rob McDonald since around 2012 and has been supported by NASA and AFRL among other contributions.

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