Aerosolve vs Ludwig: 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; Ludwig: A code-free deep learning toolbox, by Uber. Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest.

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

Aerosolve and Ludwig are both open source tools. It seems that Ludwig with 4.95K GitHub stars and 526 forks on GitHub has more adoption than Aerosolve with 4.58K GitHub stars and 578 GitHub forks.