awesome-data-catalogs VS osgeo

Check out this GitHub awesome list of Data Catalogs.

Maybe what you want i some specification from which you can build something? In that way, perhaps this can help you https://github.com/opendatadiscovery/awesome-data-catalogs. Airflow uses OpenLineage as a way to send their metadata, and Marquez collects them to show them in their UI (https://openlineage.io/docs/guides/airflow), so I suppose you would want to do something similar? But maybe in that GitHub you can find other specifications that can help you better.

In order to gain a understanding of the tables and their contents in our company, I have implemented one of the existing [data discovery platforms](https://github.com/opendatadiscovery/awesome-data-catalogs) (in my case [Amundsen](https://www.amundsen.io/))). Unfortunately, Amundsen can only display the tables it has access to.

I got nice data catalog summary in case anyone would be interested - https://github.com/opendatadiscovery/awesome-data-catalogs. It is probably biased since author is also author of one of the data catalogs, but still can be quite useful :)

Hi, I would like to know is there any opensource data catalog systems that targets machine learning applications (datasets (unstructral, e.g., text, image, and video) and models) as the citizen?

I have read the awesome-data-catalogs ([1]) list but found none of them is treating ML as 1st cizten and the support for datasets and models are not specific enough.

[1]: https://github.com/opendatadiscovery/awesome-data-catalogs

We are currently applying to bring the project under the OSGEO umbrella as a community project.

Outside of data (which is getting more open by the day), I'd argue that GIS is a very open field. There's a vast open source ecosystem from the foundation onwards (even ESRI uses GDAL) with a large community around it, ubiquitous standards via the OGC and so on.