OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.

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.

Collect, aggregate, and visualize a data ecosystem's metadata

SQL Lineage Analysis Tool powered by Python

First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.

One framework to develop, deploy and operate data workflows with Python and SQL.

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.

Metrics Observability & Troubleshooting

Generate and Visualize Data Lineage from query history

Main repo including core data model, data marts, data quality tests, and terminology sets.

Enterprise Information Service

A data framework for biology. Makes your data queryable, traceable, reproducible, and FAIR. One API: lakehouse, lineage, feature store, ontologies, LIMS, ELN.

Make dbt docs and Apache Superset talk to one another

Reference implementation for real-time Data Lineage tracking for BigQuery using Audit Logs, ZetaSQL and Dataflow.

Visualize column-level data lineage in Spark SQL

数据血缘，Hive/Sqoop/HBase/Spark等，发送到kafka后，解析处理使用neo4j生成血缘

🦆 Batch data pipeline with Airflow, DuckDB, Delta Lake, Trino, MinIO, and Metabase. Full observability and data quality.

End-to-end DataOps platform deployed by Terraform.

A boilerplate solution for processing image and PDF documents for regulated industries, with lineage and pipeline operations metadata services.