Kale donation to Kubeflow
Stefano Fioravanzo
Hello Kubeflow community! Do you remember Kale? The low-code/no-code Jupyter extension that simplifies the Data Science experience of orchestrating ML experiments from notebooks. This includes defining and deploying Kubeflow pipelines and triggering Katib hyper parameter tuning experiments with just a few clicks and code cell annotations.
If you are not familiar with it, you can read the introductory blog post or watch this video.
The project has been stale for some time and some of you may remember that Arrikto was supposed to upstream a more advanced version. Unfortunately those plans didn't pan out, Arrikto was later acquired, and the project is now locked down.
I do have administrative access to the original repository github.com/kubeflow-kale/kale and I would love to donate it to the Kubeflow community to bring it back to life.
A high-level low-code interface that quickly gets you from notebook experimentation to pipelines and other distributed training facilities is a true upselling for Kubeflow. I personally saw how appealing this approach was to end users, and several other enterprise distributions beyond Arrikto capitalized on this capability.
I opened the issue kubeflow/community#730 Kale donation to Kubeflow to discuss what's needed to bring back this project and to move it under the Kubeflow organization.
Most importantly, I would love to hear from YOU either if you are a user or a maintainer. Please, head over to the issue and react or comment. If you don't have a GitHub account, please reply to this email or message me directly. I would love to hear from you. Your upvote will be extremely helpful in qualifying if the community wants this project and who can help.
Thank you all, with ♥️ and 🥬
Stefano
Julius von Kohout
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