A library to rapidly and memory-efficiently formulate large and sparse optimization models using Pandas or Polars DataFrames.
Read the documentation to get started or to learn how to contribute.
Martin Staadecker first created this library while working for Bravos Power. The library takes inspiration from Linopy and Pyomo, two prior libraries for optimization for which we are thankful.