Aerosolve vs H2O: What are the differences?

Developers describe Aerosolve as "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. On the other hand, H2O is detailed as "H2O.ai AI for Business Transformation". H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

Aerosolve and H2O can be primarily classified as "Machine Learning" tools.

Aerosolve and H2O are both open source tools. It seems that Aerosolve with 4.58K GitHub stars and 578 forks on GitHub has more adoption than H2O with 4.15K GitHub stars and 1.51K GitHub forks.