How to: Metadata Management
* [Amundsen](https://github.com/amundsen-io/amundsen) ![](https://img.shields.io/github/stars/amundsen-io/amundsen.svg?cacheSeconds=86400) - Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
* [Apache Atlas](https://github.com/apache/atlas) ![](https://img.shields.io/github/stars/apache/atlas.svg?cacheSeconds=86400) - Apache Atlas framework is an extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem.
* [DataHub](https://github.com/datahub-project/datahub) ![](https://img.shields.io/github/stars/datahub-project/datahub.svg?cacheSeconds=86400) - DataHub is LinkedIn's generalized metadata search & discovery tool.
* [Marquez](https://github.com/MarquezProject/marquez) ![](https://img.shields.io/github/stars/MarquezProject/marquez.svg?cacheSeconds=86400) - Marquez is an open source metadata service for the collection, aggregation, and visualization of a data ecosystem's metadata.
* [Metacat](https://github.com/Netflix/metacat) ![](https://img.shields.io/github/stars/Netflix/metacat.svg?cacheSeconds=86400) - Metacat is a unified metadata exploration API service. Metacat focuses on solving these problems: 1) federated views of metadata systems; 2) arbitrary metadata storage about data sets; 3) metadata discovery.
* [ML Metadata](https://github.com/google/ml-metadata) ![](https://img.shields.io/github/stars/google/ml-metadata.svg?cacheSeconds=86400) - a library for recording and retrieving metadata associated with ML developer and data scientist workflows.