Neptune is an experiment tracking hub bringing organization and collaboration to data science projects. Neptune records your entire experimentation process – exploratory notebooks, model training runs, code, hyperparameters, metrics, data versions, results, exploration visualizations, and more. Everything is stored and backed-up in an organized knowledge repository, ready to be accessed, analyzed, shared, and discussed with your team. No matter what type of problems you are working on, Neptune fits them all, from evaluating credit risk to finding the nuclei in divergent images.
- Metadata store
- Experiments dashboard
- Model registry
- Support for the most popular scientific packages
- Support R and Python
- Team management and collaboration
- Compare experiments
- Advanced experiment grouping
- Provides experiment reports
- Allows for comments
- Share experiments by sharing a link
- Scales to millions of runs
- Notebook versioning
- Notebook auto snapshots
- Shows notebook diffs
- Query experiment and model training metadata programmatically
Neptune allows you to track everything in your machine learning experiment making experiments traceable and reproducible. You can also use the platform to store and serve your machine learning models.
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