Lobe.ai vs Aerosolve: What are the differences?

Developers describe Lobe.ai as "A simple tool for training machine learning models". It helps you train machine learning models with a free, easy to use tool. It has everything you need to bring your machine learning ideas to life. Just show it examples of what you want it to learn, and it automatically trains a custom machine learning model that can be shipped in your app. On the other hand, Aerosolve is detailed 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.

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

Some of the features offered by Lobe.ai are:

• Machine learning made easy
• Free and Private
• Ship Anywhere

On the other hand, Aerosolve provides the following key features:

• A thrift based feature representation that enables pairwise ranking loss and single context multiple item representation.
• A feature transform language gives the user a lot of control over the features
• Human friendly debuggable models

Aerosolve is an open source tool with 4.66K GitHub stars and 580 GitHub forks. Here's a link to Aerosolve's open source repository on GitHub.