# OpenLineage/OpenLineage

An Open Standard for lineage metadata collection

Repository: https://github.com/OpenLineage/OpenLineage
Canonical: https://ross.abutalabs.com/products/openlineage
Homepage: http://openlineage.io
Language: Java
License: Apache-2.0
License Family: permissive
Last push: 2026-08-26T10:14:30+00:00

## Health v2 (maintenance only)
Score: 97/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 94, longevity 100
- inputs: {"age_days": 2139, "days_push": 7, "days_rel": 41, "gap_med": 18, "n_releases_24m": 36}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2626, forks 520 (observed 2026-08-28T04:07:05.345701+00:00)

## What it is
OpenLineage is an open standard and framework for collecting data lineage metadata, defining a generic model of jobs, runs, and datasets with extensible facets. It ships client libraries (notably openlineage-java) and integrations with tools like Spark, Airflow, dbt, and Flink that emit lineage events to configurable backends such as Marquez.

## Use cases
- track data lineage across spark and airflow pipelines
- collect metadata about datasets and jobs automatically
- trace root cause of data pipeline failures
- standardize lineage event collection across data tools
- visualize dependencies between jobs and datasets
- instrument dbt and flink jobs with lineage metadata

## When to choose
- you need consistent lineage metadata across multiple pipeline tools
- you want an open, vendor-neutral lineage standard with extensible facets
- you're building a data catalog or observability backend that consumes lineage events

## When to avoid
- you only need a single-tool lineage view already provided natively
- you need full column-level lineage out of the box without custom facets
- you want a turnkey UI rather than a collection standard (pair it with Marquez or similar)

## Facets
- artifact type: framework
- maturity: active
- function: monitoring, etl, analytics, sdk, api-framework
- domain: big-data, analytics, developer-tools, apis
- platform: jvm, python, cross-platform, self-hosted
- tags: data-lineage, metadata-collection, open-standard, data-observability, openapi-spec, data-pipelines, data-engineering, docker

## Member repositories
- OpenLineage/OpenLineage (main) score 97

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:05.345701+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:19:46.235556+00:00, confidence not recorded.
  - readme: https://github.com/OpenLineage/OpenLineage (fetched 2026-08-28T04:07:05.345701+00:00, sha 6367f5b449b6)
  - homepage: http://openlineage.io (fetched 2026-08-29T10:02:43.170404+00:00, sha 3ba003b599b5)
  - site_page: http://openlineage.io/apidocs/javadoc (fetched 2026-08-29T10:02:43.183190+00:00, sha 5f514d7131db)
  - site_page: http://openlineage.io/apidocs/openapi (fetched 2026-08-29T10:02:43.184691+00:00, sha 72d79ce33995)
  - site_page: http://openlineage.io/getting-started (fetched 2026-08-29T10:02:43.179432+00:00, sha a5bc38da073c)
  - site_page: http://openlineage.io/docs (fetched 2026-08-29T10:02:43.181496+00:00, sha 321f80dfb575)
- Data as of 2026-08-30T08:39:29.467469+00:00.