opendatadiscovery/odd-platform

Health v2 · maintenance only

Adoption not part of the score

1425 stars · 144 forks observed · 2026-08-28

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

ODD Platform is an open-source data discovery and observability platform that provides a federated data catalog, end-to-end data and microservices lineage, data quality integration, and alerting. It is the reference implementation of the Open Data Discovery specification and is aimed at data teams of any size.

Use cases

• find and catalog datasets across the company
• track end-to-end data lineage from ingestion to dashboards
• monitor data pipelines and get alerts on data incidents
• manage data quality checks and governance tags
• catalog ML experiment metadata and lineage
• self-host an open-source data catalog
• deprecate outdated data assets responsibly

When to choose

• you need an open-source alternative to commercial data catalogs like Collibra or Alation
• your data team wants discovery, lineage, quality, and alerting in one self-hosted tool
• you practice data mesh or need federated metadata management
• you want ML experiment metadata treated as first-class catalog entities

When to avoid

• you only need lightweight documentation of datasets without a running platform
• you require a fully managed SaaS with no infrastructure to operate
• your stack has no collectors or integrations for the ODD specification

Facets

application · maturity active

search-engine monitoring alerting data-visualization analytics self-hosted big-data data-science analytics databases self-hosted jvm data-catalog data-observability data-lineage data-governance data-quality metadata-management data-discovery data-profiling ml-experiments data-engineering docker kubernetes web-server

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markdown · JSON · MCP: product_card(name="opendatadiscovery/odd-platform")