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On the recordRead 9 Oct 202612 facts
ModelDB
Plans and prices
Open-source ModelDB
Free
Apache 2.0 licensed · self-hosted deployment
Read 9 Oct 2026 · github.com
On the record
- Clients and integrations
- ModelDB provides Python and Scala clients and lists TensorFlow and PyTorch integrations.github.com · read 9 Oct 2026
- Deployment
- The project says it works on Docker and Kubernetes and documents Docker Compose and Helm deployment options.github.com · read 9 Oct 2026
- Experiment management
- It supports experiment management, performance dashboards, and report sharing.github.com · read 9 Oct 2026
- Hosted option
- The README says to contact [email protected] about a hosted version.github.com · read 9 Oct 2026
- Intended users
- The project is for managing, versioning, and auditing machine learning models across their lifecycle.github.com · read 9 Oct 2026
- License
- ModelDB is licensed under Apache 2.0.github.com · read 9 Oct 2026
- Lifecycle tracking
- It tracks models during development, deployment, and live monitoring.github.com · read 9 Oct 2026
- Metadata
- Its flexible metadata logging includes metrics, artifacts, tags, and user information.github.com · read 9 Oct 2026
- Purpose
- ModelDB versions machine learning models and tracks ML metadata across the model lifecycle.github.com · read 9 Oct 2026
- Reproducibility
- It records model ingredients including code, data, configuration, and environment to support reproducibility.github.com · read 9 Oct 2026
- Storage
- It supports pluggable storage systems and is configured and verified out of the box with PostgreSQL.github.com · read 9 Oct 2026
- Support
- The project directs users to GitHub issues for bug reports and feature requests and to Slack for questions and help.github.com · read 9 Oct 2026
