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FreemiumOpen Source
NEPTUNE
Experiment tracking and model monitoring for ML teams
Apache-2.0
ABOUT
Machine learning experiments are hard to track, compare, and reproduce. Neptune solves this by providing a centralized platform to log hyperparameters, metrics, model artifacts, and lineage, enabling collaboration and reproducibility across teams.
INSTALL
pip install neptuneINTEGRATION GUIDE
1. Track and compare deep learning experiments across teams
2. Manage model registry and artifact versioning centrally
3. Monitor production model performance and detect drift
TAGS
mlopsexperiment-trackingmonitoringmodel-registrymetadatalogging