Opvious SDK

A Python SDK for solving linear, mixed-integer, and quadratic optimization models with the Opvious platform

Highlights

• Declarative modeling API exportable to LaTeX

• Remote solves with real-time progress notifications, no local solver installation required

• Seamless data import/export via native support for pandas

• Flexible multi-objective support: weighted sums, epsilon constraints, …

• Built-in debugging capabilities: relaxations, fully annotated LP formatting, …

Getting started

First install the SDK, for example using pip:

$ pip install opvious[aio]

Note

The optional aio dependency is recommended for improved performance. It may be omitted for compatibility with Pyodide environments, for example in JupyterLite kernels.

You are now ready to hop on over to the Overview section!

Contents

• Overview
• Modeling
• Transformations
• Multi-objective strategies
• API reference

External resources

• Examples repository

• GitHub repository

• PyPI entry