Lineage graphs
Within a collection in the W&B Registry, you can view a history of the artifacts that an ML experiment uses. This history is called a lineage graph. A lineage graph shows:- Artifacts used as inputs to a run.
- Artifacts created as outputs from a run.

- Multiple runs log the
split_zoo_dataset:v4artifact. - The ârural-feather-20â run uses the
split_zoo_dataset:v4artifact for training. - The output of the ârural-feather-20â run is a model artifact called
zoo-ylbchv20:v0. - A run called ânorthern-lake-21â uses the model artifact
zoo-ylbchv20:v0to evaluate the model.
- Navigate to the W&B Registry.
- Select the collection that contains the artifact.
- From the dropdown, select the artifact version you want to view its lineage graph.
- Select the Lineage tab.
- Select a node to view detailed information about the run or artifact.
See Enable lineage graph tracking to learn how to track the input and output of a run using the W&B Python SDK.
rural-feather-20) when you select a node in the lineage graph:

zoo-ylbchv20:v0) when you select an artifact node in the lineage graph:

You can also view lineage graphs for artifacts you log to W&B that are not part of a collection. See Explore artifact graphs for more information.
Audit a collectionâs history
View actions that members of your organization take on that collection. You can view:- If an alias was added or removed from an artifact version.
- If an artifact version was added or removed from a collection.
- Navigate to the W&B Registry.
- Select the collection you want to view its action history.
- Select the dropdown menu next to the collection name.
- Select the Action History option.