How to quantify similarity of tree models? (XGB, Random Forest, Gradient Boosting, etc.)

Question

Are there any algorithms that quantify the similarity of tree based models such as XGB? For example, I train two XGB models with different datasets for example in cross validation and want to estimate the robustness or consistency of the predictions and maybe how features are used.