rasa NLU vs Tabletop.js: What are the differences?

Developers describe rasa NLU as "Open source, drop-in replacement for NLP tools like wit.ai". rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries. On the other hand, Tabletop.js is detailed as "Tabletop.js takes a Google Spreadsheet and makes it easily accessible through JavaScript". Tabletop.js easily integrates Google Spreadsheets with Backbone.js, Handlebars, and anything else that is hip and cool. It will also help you make new friends and play jazz piano.

rasa NLU belongs to "NLP / Sentiment Analysis" category of the tech stack, while Tabletop.js can be primarily classified under "Spreadsheets as a Backend".

rasa NLU and Tabletop.js are both open source tools. It seems that rasa NLU with 5.6K GitHub stars and 1.66K forks on GitHub has more adoption than Tabletop.js with 3.05K GitHub stars and 389 GitHub forks.