## Configuring the pipeline editor ### Configuring supported runtimes The pipeline editor supports three runtimes: Kubeflow Pipelines, Apache Airflow, and local execution in JupyterLab. By default, support for all runtimes is enabled when you [install Elyra](../getting_started/installation.md). The JupyterLab launcher window under the _Elyra_ category includes a tile for each enabled runtime:  If you are planning to use only a subset of the supported runtimes to execute pipelines, you can enable them selectively. #### Enabling specific runtimes When you explicitly enable one or more runtimes the other runtimes are disabled. You enable runtimes by overriding the Elyra default configuration. ##### Override default using command line parameters To enable one or more runtimes, launch JupyterLab with the Elyra-specific `--PipelineProcessorRegistry.runtimes` parameter: ``` $ jupyter lab --PipelineProcessorRegistry.runtimes= ``` Supported parameter values for `` are `kfp` (enable support for Kubeflow Pipelines), `airflow` (enable support for Apache Airflow), and `local` (enable support for local execution). For example, to enable only support for Kubeflow Pipelines, run ``` $ jupyter lab --PipelineProcessorRegistry.runtimes=kfp ```  To enable support for more than one runtime, specify the parameter multiple times. ``` $ jupyter lab --PipelineProcessorRegistry.runtimes=kfp --PipelineProcessorRegistry.runtimes=local ```  ##### Override default using customized configuration file To permanently apply your runtime selection create a customized configuration file. 1. Stop JupyterLab. 1. Generate the `jupyter_elyra_config.py` configuration file. ``` $ jupyter elyra --generate-config ``` > Note: You must specify `elyra` as the `jupyter` subcommand instead of `lab`. 1. Open the generated configuration file. 1. Locate the `PipelineProcessorRegistry` configuration section. ``` #------------------------------------------------------------------------------ # PipelineProcessorRegistry(SingletonConfigurable) configuration #------------------------------------------------------------------------------ ``` 1. Locate the configuration entry for `PipelineProcessorRegistry.runtimes` ``` # c.PipelineProcessorRegistry.runtimes = [] ``` 1. Remove the leading `#` and add one or more of `kfp`,`airflow`, or `local`. ``` c.PipelineProcessorRegistry.runtimes = ['kfp', 'local'] ``` 1. Save the customized configuration file. 1. Start JupyterLab. The pipeline editor tiles for the specified runtimes are displayed in the launcher window. ### Customizing the pipeline editor 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](https://jupyterlab.readthedocs.io/en/stable/user/interface.html#menu-bar) to `Settings > Advanced Settings Editor` and searching for `elyra`. Customization options vary by release.