The Elyra JupyterLab interface¶
The Elyra extensions add multiple interfaces to the JupyterLab GUI. These interfaces are used to create and manage pipelines and to create and manage metadata.
Many of these tasks can also be accomplished using the Elyra command line interface.
Elyra adds a new category to the JupyterLab launcher, providing access to the Visual Pipeline Editor, the Python editor, the R editor, and the Elyra documentation.
Note that the number of tiles in the Elyra category depends on how you installed Elyra.
Visual Pipeline Editor¶
The Visual Pipeline Editor is used to work with generic pipelines and runtime-specific pipelines.
The editor includes the component palette, the canvas with a tool bar on top, and a properties panel, shown on the left, in the center, and the right, respectively.
The palette provides access to components that you use to assemble pipelines. Components are managed using the component catalogs sidebar.
The canvas is the main work area, where you assemble the pipeline by adding nodes, connecting and configuring them .
The properties panel is used to configure pipeline properties and node properties.
You can customize the pipeline editor behavior by opening the settings link in the empty editor window or by navigating in the JupyterLab menu bar to
Settings > Advanced Settings Editor and searching for