Linopy: Linear optimization with n-dimensional labeled variables

Abstract

Linopy is an open-source package written in Python to build and process linear and mixed-integer optimization with n-dimensional labeled input data. Using state-of-the-art data analysis packages, Linopy enables a high-level algebraic syntax and memory-efficient, fast communication with open and proprietary solvers. While similar packages use object-oriented implementations of single variables and constraints, Linopy stores and processes its data in an array-based data model. This allows the user to build large optimization models quickly and lays the foundation for features such as fast writing to array-oriented scientific data formats, masking, automatic solving on remote servers and model scaling.