Pipelines Page
Use the Pipelines Page to navigate between and manage pipelines. The page shows execution summaries for all ClearML Pipelines.
You can view the Pipelines page in Project view
or in List view
. In List
view, all pipelines are shown side-by-side. In Project view, pipelines are organized according to their projects, and
top-level projects are displayed. Click on a project card to view the project's pipelines.
Click on a pipeline card to navigate to its Pipeline Runs Table, where you can view the pipeline structure, configuration, and outputs of all the pipeline's runs, as well as create new runs.
Filter page contents by specific fields
or through free form search
:
- My Work - Show only pipelines that you created
- Tags - Choose which tags to filter by from a list of tags used in the pipelines.
- Filter by multiple tag values using the ANY or ALL options, which correspond to the logical "AND" and "OR" respectively. These options appear on the top of the tag list.
- Filter by the absence of a tag (logical "NOT") by clicking its checkbox twice. An X will appear in the tag's checkbox.
- User - Filter pipelines by the user who created them.
Free form search queries pipeline name and ID. To search using regex, click the .*
icon on the search bar.

Project Cards
In Project view, project cards display a project's summarized pipeline information:

Click on a project card to view its pipelines.
Pipeline Cards
In List view, the pipeline cards display summarized pipeline information:

- Pipeline name
- Time since the pipeline's most recent run
- Run summary - Number of Running/Pending/Completed/Failed runs
- Tags
Pipeline Actions
Click on the top right
of a pipeline card to open its context menu and access pipeline actions.

- Rename - Change the pipeline's name
- Add Tag - Add label to the pipeline to help easily classify groups of pipelines.
- Delete - Delete the pipeline: delete all its runs and any models/artifacts produced (a list of remaining artifacts is returned). To delete a pipeline, all its runs must first be archived.
- Clone - Create a new pipeline based on the pipeline's last run. Add the following details:
- New Pipeline Details
- Pipeline name - Name for the new pipeline (required).
- Initial version - The version number of the first run in the new pipeline
- Project - ClearML project where the new pipeline will be stored. By default, this is the same project as the original pipeline.
- Parameters - If the pipeline includes custom parameters, specify their values. The cloned run’s values are pre-filled.
- Configuration
- Pipeline controller queue - Queue to which the new pipeline run will be enqueued (make sure an agent is assigned to that queue).
- New Pipeline Details