I have implemented a pure binary integer combinatorial optimization routine within a Python module (importing
gurobipy), and experimented with relaxing a few constraints so some variables may assume values 0, 1 or 2, until I ran first into time-to-result latency problems then into memory problems. That initial effort was based on Gurobi, which I discovered on that occasion... and liked, because it has provisions to build thread-safe compute environments when multi-threading, and it offers a model namespace in which the analyst may write out constraints and the objective function and embed them in code.
I now need to replace the Gurobi solver because my earlier installation is reaching its free one-year term limit. I would like to be able to call a FOSS ILP/MIP solver into my python module. Although I saw a couple of references to
lpsolve() (e.g. here), my issue is that I really don't know what is and what isn't available out there for Python v3.9+ environments.
I am looking for a stable solver (no beta implementation) with a Python API.