VertaAI/modeldb

Health v2 · maintenance only

Adoption not part of the score

1749 stars · 289 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ModelDB is an open-source system for machine learning model versioning, metadata tracking, and experiment management. It versions models along with their code, data, config, and environment, and provides clients in Python plus a web frontend deployable via Docker or Kubernetes.

Use cases

• track machine learning experiments and compare metrics
• version ML models with their code, data, and environment
• make ML models reproducible
• build performance dashboards and share experiment reports
• manage a model registry across development and deployment
• self-host an experiment tracking server for a data science team

When to choose

• you need a self-hosted, open-source experiment tracking and model versioning backend
• your team works in Python and wants a client library for ML metadata
• you deploy on Docker or Kubernetes and want lifecycle tracking from development to monitoring

When to avoid

• you only need lightweight local experiment logging without a server
• you want a fully managed MLOps SaaS with active vendor support
• you need a project with frequent recent releases and active development

Facets

service · maturity maintenance

machine-learning monitoring database api-framework developer-tools machine-learning data-science self-hosted python self-hosted mlops experiment-tracking model-versioning model-registry metadata-management devops docker kubernetes web-server

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For agents

markdown · JSON · MCP: product_card(name="VertaAI/modeldb")