open-metadata/OpenMetadata
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents. observed · 2026-08-28
Health v2 · maintenance only
95/100
- Activity 99
- Release rhythm 87
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 5
- age_days: 1858
- days_rel: 9
- days_push: 7
- n_releases_24m: 100
Adoption not part of the score
14986 stars · 2335 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
OpenMetadata is an open-source metadata management platform that unifies data cataloging, lineage, data quality, governance, and business semantics into a single metadata knowledge graph. It provides 130+ connectors, APIs, SDKs, and an MCP server so both humans and AI agents can discover, understand, and trust enterprise data.
Use cases
- build a centralized data catalog for all our warehouses and dashboards
- track column-level lineage across pipelines and BI tools
- run data quality tests and profile tables automatically
- give AI agents governed context about our data via MCP
- manage business glossary terms and data ownership
- set up data contracts and governance policies
- discover and document datasets across Snowflake, BigQuery, and Databricks
- monitor data freshness and pipeline health
When to choose
- you need a unified metadata platform spanning many data sources with 130+ connectors
- you want open-source data cataloging with lineage, quality, and governance in one tool
- you need to expose trusted data context to AI assistants and agents through an MCP server
- your organization requires glossaries, classifications, policies, and data contracts
When to avoid
- you only need a lightweight schema registry or single-database documentation tool
- you cannot spare the Docker/Kubernetes resources (6+ GiB memory) for a full deployment
- you need only a simple data dictionary without governance or lineage features
Facets
application · maturity active
search-engine api-framework mcp monitoring data-science etl analytics documentation databases analytics data-science self-hosted artificial-intelligence apis self-hosted python cloud data-catalog metadata-management data-lineage data-quality data-governance data-observability knowledge-graph data-discovery mcp-server data-contracts glossary semantic-search data-engineering governance docker kubernetes web-server typescript
4 sources
- readme: https://github.com/open-metadata/OpenMetadata · fetched 2026-08-28 · 27534348cfee
- homepage: https://open-metadata.org · fetched 2026-08-29 · 60bf5cb4de15
- site_page: https://docs.open-metadata.org · fetched 2026-08-29 · 4d5068ed9ab2
- site_page: https://docs.open-metadata.org/latest/quick-start/local-docker-deployment · fetched 2026-08-29 · ebd82a4e9ea7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| open-metadata/OpenMetadata | main | 95 |
For agents
markdown · JSON · MCP: product_card(name="open-metadata/OpenMetadata")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem