ModelDB
Open-source ML model versioning and experiment management.
- Status
- UnmaintainedNo commits in 853 days.
- Last checked
- Checked · Oct 16, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
ModelDB is an open-source platform for managing machine learning models, experiments, and metadata. It helps teams track versions of their models and experiments to ensure reproducibility and streamline collaboration.
ModelDB stands out as an open-source, self-hosted solution that focuses on model versioning and experiment management, providing teams full control over their ML metadata.
When it fits — and when it doesn’t
A good fit for
Teams needing to track and manage multiple ML model versions
Projects requiring reproducibility of experiments across different environments
Organizations that need a self-hosted solution for ML metadata management
Look elsewhere if
Users looking for cloud-based managed services without the need for self-hosting
Teams preferring a more integrated platform with built-in model training and deployment capabilities
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Small community and slow response to issues
GitHub repository has low activity with infrequent updates and issue resolutions
What it does well
Model versioning and tracking
Experiment management
Metadata storage and retrieval
Integration with Python ML libraries
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 ModelDB
Setup steps, common gotchas and what to check after 30 days.