Thanks a lot. Yes, in this week I have met at least two people combining ClearML with other tools (one with Kedro and the other with luigi). In the beginning, I would rather prefer sticking with ClearML alone, so that I won't need to learn more than one tool. But I don't discard trying this integration in the future if I find some benefits.

I am sorry but I did not fully understand your answer. Well, from what you say it seems that everything is very flexible and programmable, which is something that I like a lot!! But I have the remaining doubt of the skipping steps on reruns. Let's think we have a pipeline composed by taskA and taskB. TaskB takes the output of taskA to do further transformations. If I run the pipeline twice, changing only parameters or code of taskB, will taskA be run again or not? And if the default behaviour is to run taskA, do you think it will be easy to modify programmatically the behaviour, by extending the pipeline class for example? When tasks are long to compute I find this very convenient...