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Alternative dbt docs site: Catalog + ERD + column-level lineage

Project description

dbdocs logo

An alternative dbt docs site — catalog + ERD + column-level lineage + versioned deploys, all in one CLI.

live demo docs PyPI version python-cli License: MIT python

Turn your dbt artifacts into a self-contained docs site: a browsable catalog, an entity-relationship diagram, an interactive lineage DAG, and column-level lineage traced from your compiled SQL — all in one dbdocs generate. Serve it with dbdocs serve, or deploy versioned builds anywhere a static host will take them.

Catalog Model page Lineage DAG Health Check
catalog model page dag health check

Why dbdocs?

dbt's built-in docs stop short of telling you which upstream column fed this downstream column, which tables relate to each other, or what changed between builds. dbdocs fills those gaps — no documentation framework or separate ERD tool to install.

  • ERD + column-level lineage — table relationships (dbterd) and column lineage from compiled SQL (sqlglot).
  • Column impact analysis — downstream dependents for any column.
  • Deep-link URLs for every node, column, and DAG view.
  • Any sqlglot dialect, auto-detected from your manifest.
  • Scales to 1 000s of models without freezing the browser.
  • Fail-soft — an unparseable model is skipped, not fatal.
  • Project Health Check across the six dbt-project-evaluator dimensions.
  • Versioned deploys with a built-in version switcher, no plugins.
  • Full-text search across names, columns, descriptions, tags, and SQL at the client-side, no backend.
  • Static REST API (api/v1/) — addressable JSON for every node, lineage, and health, for headless / agent consumption.
  • Dark / light theme.

Install

pip install dbdocs --upgrade

Requires Python 3.10+.

Quickstart

dbt docs generate     # writes target/manifest.json + target/catalog.json
dbdocs generate       # builds ./site/ with index.html + dbdocs-data.json.gz
dbdocs serve          # static http server on http://127.0.0.1:8000

The site must be served over HTTP (not opened as a local file) because it fetches the data payload at load time. dbdocs serve handles that locally; any static host works for deployment.

Full walkthrough, configuration, and architecture live in the documentation.

Contributing

Contributions are welcome — bugs, features, docs, typos. See the Contributing Guide.

If dbdocs saves you some clicks, consider buying me a coffee.

buy me a coffee

License

MIT © Dat Nguyen

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