Google Maps vs rasa NLU

Overview

Google Maps

Stacks42.5K

Followers29.8K

Votes568

rasa NLU

Stacks120

Followers282

Votes25

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
python
NLP

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.

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Advice on Google Maps, rasa NLU

StackShare

Apr 4, 2019

Needs advice

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."

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Detailed Comparison

Google Maps	rasa NLU
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.	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.
Maps Image APIs;Places API;Web Services;Google Earth API;Maps API Licensing;Google Maps API for Work	Open source; NLP; Machine learning
Statistics
Stacks 42.5K	Stacks 120
Followers 29.8K	Followers 282
Votes 568	Votes 25
Pros & Cons
Pros 253 Free 136 Address input through maps api 82 Sharable Directions 47 Google Earth 46 Unique Cons 5 Google Attributions and logo 2 Only map allowed alongside google place autocomplete	Pros 9 Open Source 6 Docker Image 6 Self Hosted 3 Comes with rasa_core 1 Enterprise Ready Cons 4 No interface provided 4 Wdfsdf
Integrations
No integrations available	Slack RocketChat Google Hangouts Chat Telegram Microsoft Bot Framework Twilio Mattermost

What are some alternatives to Google Maps, rasa NLU?

Mapbox

We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub.

Leaflet

Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.

OpenStreetMap

OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world.

OpenLayers

An opensource javascript library to load, display and render maps from multiple sources on web pages.

ArcGIS

It is a geographic information system for working with maps and geographic information. It is used for creating and using maps, compiling geographic data, analyzing mapped information, sharing and much more.

SpaCy

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

Speechly

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

CSV2GEO

It provides live conversion of batch addresses into geographic coordinates (address to lat long) or turn coordinates into well formatted address. It creates and publishes interactive maps.

MapTiler

It is a software for map tile rendering. It has been designed for producing seamless maps and aerial photo layers covering whole countries. The rendering is fast and efficient, and it can fully utilize multiple CPUs to 100%.

MAPS.ME

MAPS.ME is an open source cross-platform offline maps application, built on top of crowd-sourced OpenStreetMap data. It was publicly released for iOS and Android.

Related Comparisons

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
python
NLP

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.

Google Maps vs rasa NLU