I also suggest adding Kubeflow given it's a common tool for building and deploying workflows throughout the ML lifecycle when teams are using Kubernetes.
Kubeflow Pipelines is very similar to Airflow, but for ML use cases on K8s. docs
Kubeflow the project is akin to a platform for ML workflow automation, and is made up of several sub-projects, like Kubeflow Pipelines. docs
Closes issue #122
I also suggest adding Kubeflow given it's a common tool for building and deploying workflows throughout the ML lifecycle when teams are using Kubernetes.
Kubeflow Pipelines is very similar to Airflow, but for ML use cases on K8s. docs
Kubeflow the project is akin to a platform for ML workflow automation, and is made up of several sub-projects, like Kubeflow Pipelines. docs