ByteHub
A Python-based feature store optimized for time-series data.
- Status
- UnmaintainedNo commits in 1963 days.
- Last checked
- Checked · Oct 14, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
ByteHub is an easy-to-use, Python-based feature store designed to handle and optimize time-series data. It provides a robust infrastructure for managing features in machine learning workflows.
ByteHub stands out as an open-source, Python-centric feature store specifically optimized for time-series data, offering robust versioning and lineage tracking features.
When it fits — and when it doesn’t
A good fit for
Teams working on time-series analysis who need robust feature management
Projects requiring detailed lineage tracking for features
Developers preferring Python-based solutions for their data infrastructure needs
Look elsewhere if
Users looking for a cloud-hosted solution without self-management responsibilities
Projects that require real-time streaming capabilities (batch-only architecture)
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Small community and limited third-party integrations
GitHub activity indicates a small contributor base and few external plugins or extensions
What it does well
Optimized for time-series data management
Easy-to-use Python API
Supports feature versioning and lineage tracking
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up ByteHub
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for ByteHub’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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