Neptune is a metadata store for MLOps, built for research and production teams that run a lot of experiments. It gives you a central place to log, store, display, organize, compare, and query all metadata generated during the machine learning lifecycle. Individuals and organizations use Neptune for experiment tracking and model registry to have control over their experimentation and model development.