Timeseries data. Simplified.
Spend less time on data prep and more on data science
Making you more productive
80% of a data scientist's time is currently spent on data prep.
Designed for data scientists
Runs in any Jupyter Notebook, without any complex infrastructure to deploy.
Production ready
Supercharge your data science projects with production-ready data feeds.
Quick start feature store
No complex infrastructure to setup. Install our open source library to get started.
Effortless data prep
Access pre-prepared datasets. Combine and merge data, upsample, downsample, transform.
More productive data science
Search for datasets. Share them between teams and models. Move them from research to production.
Works locally, or on any cloud
Store your data locally, or connect to a cloud storage bucket. Contact us for a demo.
Try it out
Get up and running in seconds using a Jupyter Notebook demo.
For beginners to explore an easy-to-use feature store
- Open source, simple pip install
- Work with data on your own computer or cloud bucket.
Build professional-quality machine-learning features
- Cloud hosted
- Single feature namespace
- 2GB storage
Bespoke deployment with dedicated support
- Unlimited namespaces and features
- Integration with Airflow pipelines to keep data fresh
- Dedicated support and account management
Contact us to discuss a bespoke ByteHub Feature Store solution.
.png){kind=small}