#typescript #big_data #data_catalog #datahub #linkedin #metadata #search_and_discovery

https://github.com/linkedin/datahub

#python #data_catalog #data_discovery #data_documentation

https://github.com/dataframehq/whale

#python #amundsen #data_catalog #data_discovery #linuxfoundation #metadata

https://github.com/amundsen-io/amundsen

#java #data_catalog #data_discovery #data_governance #datahub #metadata

DataHub is a free, open-source platform that helps you find and understand your data. It acts like a catalog for all your data, making it easier to discover, manage, and use. Built by Acryl Data and LinkedIn, DataHub supports modern data stacks and offers features like real-time metadata graphs, integration with various tools, and a user-friendly interface. You can try it out with a hosted demo or follow the quickstart guide to set it up locally. Joining the community through Slack or attending town hall meetings can also help you stay updated and connected with other users. This tool is beneficial because it simplifies data management, enhances collaboration, and improves overall data visibility within your organization.

https://github.com/datahub-project/datahub

#java #ai_catalog #data_catalog #datalake #federated_query #lakehouse #metadata #metalake #model_catalog #opendatacatalog #skycomputing #stratosphere

Apache Gravitino is a powerful tool for managing metadata across different sources and regions. It's available under the Apache 2.0 license, which means you can use it freely for any purpose, including commercial projects. You can modify and distribute the software as needed. This flexibility allows businesses to integrate Gravitino into their systems without worrying about royalties or strict usage restrictions. The benefit to users is that they can easily manage complex data environments while having full control over how they use and customize the software.

https://github.com/apache/gravitino