Google Maps vs rasa NLU: What are the differences?
Developers describe Google Maps as "Build highly customisable maps with your own content and imagery". Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow. On the other hand, rasa NLU is detailed 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.
Google Maps can be classified as a tool in the "Mapping APIs" category, while rasa NLU is grouped under "NLP / Sentiment Analysis".
Some of the features offered by Google Maps are:
- Maps Image APIs
- Places API
- Web Services
On the other hand, rasa NLU provides the following key features:
- open source
rasa NLU is an open source tool with 5.76K GitHub stars and 1.7K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.
From a StackShare Community member: "We're a team of two starting to write a mobile app. The app will heavily rely on maps and this is where my partner and I are not seeing eye-to-eye. I would like to go with an open source solution like OpenStreetMap that is used by Apple & Foursquare. He would like to go with Google Maps since more apps use it and has better support (according to him). Mapbox is also an option but I don’t know much about it."