Status, September 2026: Amundsen is archived. The Amundsen repository carries the notice “Due to inactivity, this project was archived in September 2026. The contents will remain available for historical purposes,” and GitHub records the archive on September 10, 2026. The demo below still runs, and what it shows is Amundsen as it stood at the point the project was archived: no releases, no security patches, and no maintainer review are coming. Look around to understand how Amundsen worked. If you are choosing a catalog to run, compare DataHub and OpenMetadata instead.
Amundsen Data Catalog Demo
The hosted demo environment below shows the Lyft Amundsen data catalog as it stood when the project was archived.
For a quick catch-up, this video and the rest of the playlist hold Amundsen data catalog demos, community meetings, and conference talks. They are an archive of a project that has stopped, not a schedule: the community meetings ended, and no new sessions are planned.
What is Amundsen Data Catalog?
Amundsen is an open source data discovery platform and metadata engine that was developed by the Lyft Engineering team. Amundsen data catalog was built to improve the productivity and efficiency of data practitioners at Lyft.
It was open-sourced in October 2019, a year after launching in production. For several years it carried an active community, and teams built their own data catalog on top of it. That activity faded, and in September 2026 the project was archived for inactivity.
The main capabilities of Amundsen were:
- Easy data discovery
- Automated and curated metadata - powering use cases
- Ability to share knowledge & context with coworkers
- Enabling learning from data usage
Looking at Amundsen for querying, lineage, or profiling? The archive settles part of that evaluation: whatever you see in the demo is what you would be running, permanently, with no upstream support behind it. The rest of the question, what a catalog has to do for your team and how you test for it, is unchanged. Our guide to evaluating a data catalog walks through the steps, and this checklist keeps you on track.
Also interested in other open source data catalogs? Start with DataHub and OpenMetadata, the two maintained projects closest to what Amundsen did, and see this compilation for the wider field.
If you are a data consumer or producer and are looking to champion your organization to optimally utilize the value of your modern data stack — while weighing your build vs buy options — it’s worth taking a look at off-the-shelf alternatives like Atlan — Home to the modern data teams.
