Pipelines vs ScalaNLP: What are the differences?

Pipelines: Machine Learning Pipelines for Kubeflow. Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable. Kubeflow pipelines are reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK; ScalaNLP: A suite of machine learning and numerical computing libraries. ScalaNLP is a suite of machine learning and numerical computing libraries.

Pipelines and ScalaNLP can be primarily classified as "Machine Learning" tools.

Pipelines and ScalaNLP are both open source tools. It seems that ScalaNLP with 2.91K GitHub stars and 674 forks on GitHub has more adoption than Pipelines with 944 GitHub stars and 247 GitHub forks.