Pipelines vs Paperspace: 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; Paperspace: The way to access and manage limitless computing power in the cloud. It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines.

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

Pipelines is an open source tool with 1.11K GitHub stars and 313 GitHub forks. Here's a link to Pipelines's open source repository on GitHub.