80% of a data scientist's time is currently spent on data prep.
Runs in any Jupyter Notebook, without any complex infrastructure to deploy.
Supercharge your data science projects with production-ready data feeds.
No complex infrastructure to setup. Install our open source library to get started.
Access pre-prepared datasets. Combine and merge data, upsample, downsample, transform.
Search for datasets. Share them between teams and models. Move them from research to production.
Store your data locally, or connect to a cloud storage bucket. Contact us for a demo.
Click ▶ to get started below, or try a Jupyter Notebook demo.
For beginners to explore an easy-to-use feature store
Build professional-quality machine-learning features
Contact us to discuss a bespoke ByteHub Feature Store solution.