With Dataiku's push for trusted AI, it seems like adding explainable boosting machines and their associated explanation frameworks to the standard modelling options would be aligned with the process.
Yes- these could be added as custom python scripts, but the value in the explainable models is how well they can explain the predictions. Surfacing the charts within dataiku and making those a standard offering would be huge.
https://interpret.ml/docs/ebm.html