I have implemented a Pyomo model for solving maximum flow problem as a subroutine of an algorithm. However, the approach does not scale very well because Pyomo does not provide a very good way to re-optimize the computation based on previous computations. (It provides a warm start but It does not seem to allow one to obtain the solution from the results and feed it in a following computation, therefore it is rather limited in this sense)
Google-OR tools provides an surprisingly easy way to solve maximum flow problems and claim it is also very performant https://developers.google.com/optimization/flow/maxflow
How well does this solver perform compared to other tools such as CPLEX and Gurobi and will it be a better option to consider than Pyomo?