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• Development: https://github.com/mdolab/pyoptsparse
• Documentation: https://mdolab-pyoptsparse.readthedocs-hosted.com/
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Description

pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner. It is a fork of pyOpt that uses sparse matrices throughout the code to more efficiently handle large-scale optimization problems. Interfaces are provided for a number of optimizers -- for the conda package the optimizers ALPSO, CONMIN, IPOPT, NSGA2, PSQP, and SLSQP are supported.