Thanks for asking : So, first with scikit learn, it doesn't work on spark and other distributed frameworks. It's also a bit slower, doesn't provide gpu support for fast inference, can't support larger datasets easily, and runs fewer models than our tool.

The AllVision platform and dev tools tests and runs 10+ unsupervised models at once, so we automate the work needed to find the best model for your dataset. Under the hood, we redesigned many of those unsupervised models so they run significantly faster, so teams can optimize hyperparameters very quickly (hours instead of days), and we're building it on a series of API's so it's more easily deployed within a large scale system.