unopy

unopy is the Python interface for Uno, a modern and modular solver for nonlinearly constrained optimization. Uno unifies Lagrange-Newton (SQP and interior-point) methods by breaking them down into a set of common building blocks such as constraint reformulation, step computation, and globalization.

Installation

unopy is a registered Python package that can be installed via pip:

pip install unopy

unopy allows you to solve an optimization model described by callback functions. An example of the Hock-Schittkowski model hs015 is available in the file example_hs015.py.

Getting started

To get started with Uno, check out the official documentation.

Project links

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Avatar for cvanaret from gravatar.com cvanaret

Credits

Author/Maintainer: Charlie Vanaret

GitHub Statistics

Data verified by PyPI on Jul 10, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

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MIT
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