GitHub - numberly/mongo-thingy: The most idiomatic and friendly-yet-powerful way to use MongoDB with Python

:leaves: The most idiomatic and friendly-yet-powerful way to use MongoDB with Python - GitHub - numberly/mongo-thingy: The most idiomatic and friendly-yet-powerful way to use MongoDB with Python

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Last Updated: 30 July 2025

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GitHub - numberly/mongo-thingy: The most idiomatic and friendly-yet-powerful way to use MongoDB with Python

:leaves: The most idiomatic and friendly-yet-powerful way to use MongoDB with Python - GitHub - numberly/mongo-thingy: The most idiomatic and friendly-yet-powerful way to use MongoDB with Python

Loading Stats

Last Updated: 30 July 2025

Loading Readme

10 Projects and apps Similar to "GitHub - numberly/mongo-thingy: The most idiomatic and friendly-yet-powerful way to use MongoDB with Python" in July 2025

GitHub - roman-right/beanie: Asynchronous Python ODM for MongoDB

GitHub - nesdis/djongo: Django and MongoDB database connector

GitHub - numberly/flask-stupe: a.k.a. « Flask on steroids »

GitHub - MongoEngine/mongoengine: A Python Object-Document-Mapper for working with MongoDB

GitHub - puentesarrin/mongodb-log: MongoDB Python logging handler, Centralized logging made simple using MongoDB.

GitHub - mongodb/motor: Motor - the async Python driver for MongoDB and Tornado or asyncio

GitHub - mongodb/mongo-python-driver: PyMongo - the Python driver for MongoDB

GitHub - slacy/minimongo: A lightweight, Pythonic, Object Oriented Interface to MongoDB.

GitHub - sebdah/scrapy-mongodb: MongoDB pipeline for Scrapy. This module supports both MongoDB in standalone setups and replica sets. scrapy-mongodb will insert the items to MongoDB as soon as your spider finds data to extract.

GitHub - Scille/umongo: sync/async MongoDB ODM, yes.

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