Linopy was recently integrated into PyPSA --see PR here. With the new PyPSA release, we should make sure to get it into PyPSA-Earth/ PyPSA-Eur ASAP. One can already trial in a draft PR how we can use these upcoming functions. As one can see in the PR above, there is also excellent documentation on how to transition.

For context, Pyomo is the standard optimization interface for Python. For large linear programming/ MILP problems, however, Pyomo has quite poor performance. It made for years Python speed and memory-wise uncompetitive compared to other programming languages. Tom, Fabian and Jonas, worked on alternative called 'nomopyomo'. While this lead to a massive performance boost, the usability/flexibility was suffering a bit. Linopy was about the same speed boost as nomopyomo, better memory performance than 'nomopyomo' and is doing a fantastic job in comparison to other 'solver interfaces'. The benchmark with Linopy, Jump and Pyomo, only shows how important the move towards Linopy is.