PynamoDB VS μMongo

Compare PynamoDB vs μMongo and see what are their differences.

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PynamoDB μMongo
2 -
2,377 442
0.4% 0.0%
6.3 0.0
25 days ago 4 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PynamoDB

Posts with mentions or reviews of PynamoDB. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-30.

μMongo

Posts with mentions or reviews of μMongo. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning μMongo yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing PynamoDB and μMongo you can also consider the following projects:

flywheel - Object mapper for Amazon's DynamoDB

MongoEngine - A Python Object-Document-Mapper for working with MongoDB

MongoFrames - A fast unobtrusive MongoDB ODM for Python.

django-mongodb-engine - Django MongoDB Backend

Tornado-SQLAlchemy - SQLAlchemy support for Tornado

Peewee - a small, expressive orm -- supports postgresql, mysql, sqlite and cockroachdb

Orator - The Orator ORM provides a simple yet beautiful ActiveRecord implementation.

butterdb - butterdb is a Python object mapper for Google Drive Spreadsheets. Still in development, but usable.

hot-redis - Rich Python data types for Redis

redisco - A Python Library for Simple Models and Containers Persisted in Redis