Difference among Mongoengine, flask-MongoEngine and Django-MongoEngine?
Django framework provides a unified unified interface to connect to a Database backend which is usually an SQL based database such as SQLite or Postgresql. That means that the developer does not have to worry about writing code specific to the database technology used, but defines Models and perform transactions and run all kinds of queries using the Django database interface. Flask does the same.
Django does not support MongoDB from the get-go. To interact with MongoDB databases, Collections and Documents using Python one would use the PyMongo package, that has a different syntax, and paradigms than Django Models or Flask's.
MongoEngine wraps PyMongo in way that provides a Django-like Database for MongoDB.
MongoEngine-Django tries to allow Django web-apps developers to use a Mongo database as the web-app backend. To provide the Django Admin, Users, Authentication and other database related features that are available in Django usually with an SQL backend.
MongoEngine-Flash tries to allow Flask web-apps developers to use a Mongo database as the web-app backend.
Personally, I prefer using a structured SQL database for the web-app essentials, and PyMongo, or MongoEngine to interface with any further Mongo Databases where unstructured big data might reside...
What are the differences between the Mongoengine, flask-MongoEngine and Django-MongoEngine projects?
I am using Mongoengine in my Django project.  Will I get any benefits if I use Django-MongoEngine instead?