which things do you do with HF, and which with WandB?

HF seems like "GitHub for models and datasets", it has a cool brand and everyone in ML uses it in some capacity. But when it comes to _company_ needs like private datasets/models, experiment tracking, CI integrations, etc. it seems WandB is a superset of HF.

HF has an enterprise offering, but it seems to be de-prioritized, and I think you'd still need WandB or MLFlow for experiment tracking?