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OpenLineage is an Open standard for metadata and lineage collection designed to instrument jobs as they are running. It defines a generic model of run, job, and dataset entities identified using consistent naming strategies. The core lineage model is extensible by defining specific facets to enrich those entities.

OpenLineage is an LF AI & Data Foundation sandbox project under active development and we'd love your help!

• Duplication of effort: Each project has to instrument all jobs
• Integrations are external and can break with new versions

• Effort of integration is shared
• Integration can be pushed in each project: no need to play catch up

OpenLineage defines the metadata for running jobs and the corresponding events. A configurable backend allows the user to choose what protocol to send the events to.

A facet is an atomic piece of metadata attached to one of the core entities. See the spec for more details.

The specification is defined using OpenAPI and allows extension through custom facets.

The OpenLineage repository contains integrations with several systems.

• Apache Spark
• Apache Airflow
• Dagster
• dbt

• Marquez: Marquez is an LF AI & DATA project to collect, aggregate, and visualize a data ecosystem's metadata. It is the reference implementation of the OpenLineage API.
  • OpenLineage collection implementation
• Egeria: Egeria Open Metadata and Governance. A metadata bus.

• Slack: OpenLineage.slack.com
• Twitter: @OpenLineage
• Google group: [email protected]

• Metadata day 2020. Open Lineage lightning talk
• Open Core Summit 2020. Observability for data pipelines. OpenLineage project launch
• Data Driven NYC Feb 2021. Data Observability and Pipelines: OpenLineage and Marquez
• Big Data Technology Warsaw Summit. Data lineage and Observability with Marquez and OpenLineage

See CONTRIBUTING.md for more details about how to contribute.

If you discover a vulnerability in the project, please open an issue and attach the "security" label.