OpenMDAO

OpenMDAO is an open-source high-performance computing platform for systems analysis and multidisciplinary optimization written in the <a href="/facts/Python_/YbuGqofa">Python</a> programming language. 
The OpenMDAO project is primarily focused on supporting gradient based optimization with analytic derivatives to allow you to explore large design spaces with hundreds or thousands of design variables, but the framework also has a number of <a href="/facts/Parallel_computing/nQzcpzQt">parallel computing</a> features that can work with gradient-free optimization, mixed-integer nonlinear programming, and traditional design space exploration.
The OpenMDAO framework is designed to aid in linking together separate pieces of software for the purpose of combined analyses. It allows users to combine analysis tools (or design codes) from multiple disciplines, at multiple levels of fidelity, and to manage the interaction between them. OpenMDAO is specifically designed to manage the dataflow (the actual data) and the workflow (what code is run when) in conjunction with optimization algorithms and other advanced solution techniques.
The development of OpenMDAO is led out of the <a href="/facts/Glenn_Research_Center/H3cpgMVT">NASA Glenn Research Center</a>.

OpenMDAO open-in-new

OpenMDAO