Best answer by Al French
the 3 most popular are automl autokeras and boxml and although they can all expedite the discovery of the "potentially" most useful hyperparameters none of them are really SOTA or fully production ready.
The main use case is to take the hyperparameters they provide and use them as the basis of your own further fine-tuning and tweaking before placing any models into production.
However constant research in this field will soon provide us with robust stable programs which will be production ready.
I personally use autokeras and boxml in tweaking reinforcement learning algos and find their results to be excellent starting points to work from.