ModelDB
Open-source ML model versioning and experiment management.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is ModelDB?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development and documentation focus on Python, other languages have limited or no official support
GitHub repository has low activity with infrequent updates and issue resolutions
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
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
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with ModelDB
Step-by-step setup guide with code examples and common gotchas.