Works on Docker, Kubernetes
Clients in Python and Scala
Beautiful dashboards for model performance and reporting
Git-like operations on any model
Flexible metadata logging including metrics, artifacts, tags and user information
Pluggable storage systems
Integration into state-of-the-art frameworks like Tensorflow and PyTorch
Battle-tested in production environments