openlineage-dbt
OpenLineage integration with dbt
Decision gist · record as of 2026-08-14
Yes, if you run dbt and need to track lineage in an OpenLineage backend. Low install friction, active maintenance, no known vulnerabilities, and a clear use case for data governance. The main gotcha is the unclear license metadata—verify the Apache-2.0 claim before use in restricted contexts—and ensure your dbt adapter is in the supported list.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires dbt >= 0.20 and Python >= 3.10 (per requires_python).
- Only supports specific dbt adapters: bigquery, snowflake, spark, redshift, athena, glue, postgres, clickhouse, trino, databricks, sqlserver, fabric, dremio, duckdb.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
(unclear) — License treatment is unclear in the metadata; the description footer notes Apache-2.0 and copyright 2018-2026 to the OpenLineage project, but this is not formally declared in the package metadata. Verify the actual license before use in proprietary or restricted contexts.
last release 2026-07-23 (22 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 158,290 downloads/mo, #10,728 on PyPI
Alternatives
Verify before relying
pip install openlineage-dbt
# Set OpenLineage backend URL
export OPENLINEAGE_URL=http://localhost:5000
# Replace 'dbt run' with 'dbt-ol run'
dbt-ol run- Whether the Apache-2.0 license stated in the description footer is the authoritative license, given the unclear metadata treatment.
- Whether catalog.json (from 'dbt docs generate') is required or optional for full metadata collection.
- Support status and compatibility with dbt versions newer than 0.20.
What it is and what it does
OpenLineage dbt is a wrapper that intercepts dbt runs and automatically captures metadata about model execution, inputs, and outputs, then sends that lineage data to an OpenLineage backend. It replaces the standard `dbt run` command with `dbt-ol run`, allowing you to track data flows and dependencies across your dbt project without modifying your dbt code. The package depends on dbt-core and the openlineage-integration-common library to handle transport and formatting.
It works with a wide range of dbt adapters (bigquery, snowflake, spark, redshift, athena, glue, postgres, clickhouse, trino, databricks, sqlserver, fabric, dremio, duckdb) and is configured via environment variables pointing to your OpenLineage backend. Optional table and column-level metadata is available if you've run `dbt docs generate` to produce a catalog.json file.
Use it for
- Track data lineage across dbt models in a centralized OpenLineage instance for compliance and impact analysis.
- Automatically log model run lifecycle events without modifying dbt projects or adding custom hooks.
- Integrate dbt metadata into a broader data governance or observability platform that consumes OpenLineage events.
- Capture input/output relationships for dbt models running on cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks).
- Send historical run metadata using `dbt-ol send-events` to backfill lineage without re-running jobs.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run dbt and need to track lineage in an OpenLineage backend.
Low install friction, active maintenance, no known vulnerabilities, and a clear use case for data governance. The main gotcha is the unclear license metadata—verify the Apache-2.0 claim before use in restricted contexts—and ensure your dbt adapter is in the supported list.
Install
openlineage-dbt on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance (released 22 days ago). Depends on tqdm, openlineage-integration-common, and dbt-core; the dbt-core dependency will pull in its own ecosystem.
Requires dbt >= 0.20 and Python >= 3.10 (per requires_python). Only supports specific dbt adapters: bigquery, snowflake, spark, redshift, athena, glue, postgres, clickhouse, trino, databricks, sqlserver, fabric, dremio, duckdb.
License in practice
License treatment is unclear in the metadata; the description footer notes Apache-2.0 and copyright 2018-2026 to the OpenLineage project, but this is not formally declared in the package metadata. Verify the actual license before use in proprietary or restricted contexts.
Quickstart
pip install openlineage-dbt
# Set OpenLineage backend URL
export OPENLINEAGE_URL=http://localhost:5000
# Replace 'dbt run' with 'dbt-ol run'
dbt-ol runVerify before relying
- Whether the Apache-2.0 license stated in the description footer is the authoritative license, given the unclear metadata treatment.
- Whether catalog.json (from 'dbt docs generate') is required or optional for full metadata collection.
- Support status and compatibility with dbt versions newer than 0.20.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagestqdmopenlineage-integration-commondbt-core |
| Maintenance | Actively maintained 22 days since the last release |
| First released | |
| Downloads | 158,290 / month, #10,728 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: openlineage_dbt-1.52.0-py3-none-any.whl
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See also dbt-colibri · openlineage-integration-common · openlineage-python · openlineage-sql · openlineage-airflow · apache-airflow-providers-openlineage · elementary-data · dbt-mcp · dbt-coverage · acryl-datahub-airflow-plugin