OpenMDAO is a high-performance computing platform for systems analysis and optimization that enables you to decompose your models, making them easier to build and maintain, while still solving them in a tightly-coupled manner with efficient parallel numerical methods.
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README.md

This code, now known as OpenMDAO1, is now supplanted by the OpenMDAO 2.0.x Alpha.

The OpenMDAO 1.7.3 codebase repo has been renamed to OpenMDAO1, and it resides here at https://github.com/OpenMDAO/OpenMDAO1

The OpenMDAO 2.0.x code has taken the name OpenMDAO, and it resides at https://github.com/OpenMDAO/OpenMDAO.

Installation of 2.0.x code will now work with pip install openmdao.
Installation of 1.7.3 code will now only work with a version specifier: pip install openmdao==1.7.3

To use the OpenMDAO v0.x legacy version (versions 0.13.0 and older) of the OpenMDAO-Framework, go here: https://github.com/OpenMDAO/OpenMDAO-Framework

To install OpenMDAO 1.X : Install Python, Pip, Numpy, and Scipy. (Anaconda Python, comes bundled with everything you need: http://continuum.io ).

Next, clone OpenMDAO repository:

git clone https://github.com/OpenMDAO/OpenMDAO1.git

Lastly, install it in development mode (from the parent directory):

pip install -e OpenMDAO1

For more information, visit our website at: http://openmdao.org

or read our docs at: http://openmdao.org/docs