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Upgrade the codebase to support Kubeflow Pipelines 2.0 and JupyterLab 4.X. Ensure the project provides a solid development and contribution workflow and supports publishing new versions of the Python library and the JP extension via automated GitHub actions

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Kale 2.0

Add GitHub workflows for automated tag-based releases

Road to Kale 2.0

[bug] security violation of PSS baseline/restricted

chore(samples): Review Dockerfiles

chore(testing): Test Kale integrated in Kubeflow Central Dashboard and Notebooks

chore(backend/frontend): Review versioning process

feature[frontend]: Improve empty state

feature(frontend): Improve Depends on Empty State

chore(testing): Test all cell types

feature[backend]: Better notebook validation

feature[backend]: Should we always define a html report node?

[frontend] Avoid run pop-up stacking

[feature] Allow users to select the base image

[backend] Investigate default pipeline behavior

[backend] Investigate Pipeline Metrics generation

[feature] Allow users to disable/enable cache for pipeline components or for the whole pipeline

bug[frontend]: Better CSS on Compile and upload button

chore(testing): Test if 'GPU for step' works

chore(testing): Add verification of artifact generation in e2e test

[backend] Pipeline Version Link Returns "Cannot retrieve pipeline version" Error

bug(backend): Pipeline Version Link Returns "Cannot retrieve pipeline…

[feature] Set a default Base Image

refactor: Replace string-based import parsing with AST-based detection

[feature] Add download button for compiled pipeline file

Kale 2.0

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