Differential evolution in parallel in Python

I am looking for a differential evolution algorithm (hopefully the one from Scipy) I could use in an unorthodox way. I would like that for each generation, the DE gives me all the child members of the new generation in advance and that I evaluate them all at once in my objective function. The reason is that my objective function calls COMSOL. I can do a batch of calculations in a COMSOL that COMSOl is going to parallelize carefully, so I don’t want the DE to parallelize it itself. So in the end, I want to calculate all the members in one call of COMSOL. Do you have any idea of a package in Python with this kind of freedom?

Thank you for your help!

This sounds like a question for stackoverflow - or even this fellow on twitter: https://www.johndcook.com/blog/twitter_page/