The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.

A dbt SQL package for ensuring documentation and test coverage, with granular control.

A dbt artifacts parser in python

A GraphQL API for interacting with dbt Artifacts.

Find the rot in your dbt DAG. Reads the artifacts dbt already writes (manifest.json, run_results.json): orphan models, untested marts feeding dashboards, 11-layer chains, fan-out hubs, runtime hogs. No dbt install, no warehouse connection. 16k models analyzed in 0.29s.

A dbt artifacts parser in TypeScript