Kubeflow vs ML Kit: What are the differences?
Developers describe Kubeflow as "Machine Learning Toolkit for Kubernetes". The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions. On the other hand, ML Kit is detailed as "Machine learning for mobile developers (by Google)". ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
Kubeflow and ML Kit belong to "Machine Learning Tools" category of the tech stack.
Kubeflow is an open source tool with 7.04K GitHub stars and 1.03K GitHub forks. Here's a link to Kubeflow's open source repository on GitHub.