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SPECIFICTION
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ModelDB

github.com

Free plan WebAPISelf-hosted
Visit github.com
Spec score 7.5 #8 of 22 in Experiment Tracking

Spec sheet

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

Plans and prices

Open-source ModelDB Free Apache 2.0 licensed · self-hosted deployment Read 9 Oct 2026 · github.com

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