elyra
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Elyra extends JupyterLab with an AI centric approach.
https://issues.redhat.com/browse/RHODS-469
https://issues.redhat.com/browse/RHODS-314
**Describe the issue** The static code analysis tool used in LSP extension detects error in the wrong code line compared to ipython  **To Reproduce** Steps to reproduce the behavior:...
As of Elyra `3.8.1`, KFP pipelines will only work with Runtime images that use pip versions before `20.3` (the version which added the new resolver). If using a newer version...
**Is your feature request related to a problem? Please describe.** #2083 set the groundwork for supporting component registries that include multiple components from a single source type (e.g. a directory...
**Describe the issue** Strange behavior when clicking twice on the white part of the pipeline editor causes the toolbar to change, checked 3.8.1 and it doesnt do this **To Reproduce**...
**Describe the issue** `Clear Pipeline` button gives the options to `Clear canvas` and `Clear all`. For both commands there is no way to undo the changes. Closing the file and...
**Describe the issue** Selecting a comment node the pipeline properties panel is displayed, which is unexpected. **To Reproduce** Steps to reproduce the behavior: 1. Create a pipeline 2. Add a...
Follow-up to #2464 - we should change any documentation screenshots to reflect the new UI for the metadata editor. Instances I could find: https://elyra.readthedocs.io/en/latest/user_guide/runtime-conf.html#creating-a-runtime-configuration https://elyra.readthedocs.io/en/latest/user_guide/runtime-image-conf.html#managing-runtime-image-configurations-using-the-jupyterlab-ui https://elyra.readthedocs.io/en/latest/user_guide/code-snippets.html#creating-a-code-snippet https://elyra.readthedocs.io/en/latest/recipes/configure-airflow-as-a-runtime.html#setting-up-a-dag-repository-on-git
Generic components are powerful because the same component can be run both locally, and in a kubeflow/airflow pipeline. This makes it easier to develop iteratively by running the pipeline locally...