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Aerosolve vs Pipelines: What are the differences?
Aerosolve: A machine learning package built for humans (created by Airbnb). This library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or pricing (number of rooms, location, price). It is not as interpretable with problems with very dense non-human interpretable features such as raw pixels or audio samples; 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.
Aerosolve and Pipelines can be categorized as "Machine Learning" tools.
Aerosolve and Pipelines are both open source tools. It seems that Aerosolve with 4.58K GitHub stars and 578 forks on GitHub has more adoption than Pipelines with 944 GitHub stars and 247 GitHub forks.