Tools

Many tools have been written for working with PyMongo. If you know of or have created a tool for working with MongoDB from Python please list it here.

Note

We try to keep this list current. As such, projects that have not been updated recently or appear to be unmaintained will occasionally be removed from the list or moved to the back (to keep the list from becoming too intimidating).

If a project gets removed that is still being developed or is in active use please let us know or add it back.

ORM-like Layers

Some people have found that they prefer to work with a layer that has more features than PyMongo provides. Often, things like models and validation are desired. To that end, several different ORM-like layers have been written by various authors.

It is our recommendation that new users begin by working directly with PyMongo, as described in the rest of this documentation. Many people have found that the features of PyMongo are enough for their needs. Even if you eventually come to the decision to use one of these layers, the time spent working directly with the driver will have increased your understanding of how MongoDB actually works.

Humongolus
Humongolus is a lightweight ORM framework for Python and MongoDB. The name comes from the combination of MongoDB and Homunculus (the concept of a miniature though fully formed human body). Humongolus allows you to create models/schemas with robust validation. It attempts to be as pythonic as possible and exposes the pymongo cursor objects whenever possible. The code is available for download at github. Tutorials and usage examples are also available at GitHub.
MongoKit
The MongoKit framework is an ORM-like layer on top of PyMongo. There is also a MongoKit google group.
Ming
Ming (the Merciless) is a library that allows you to enforce schemas on a MongoDB database in your Python application. It was developed by SourceForge in the course of their migration to MongoDB. See the introductory blog post for more details.
MongoAlchemy
MongoAlchemy is another ORM-like layer on top of PyMongo. Its API is inspired by SQLAlchemy. The code is available on github; for more information, see the tutorial.
MongoEngine
MongoEngine is another ORM-like layer on top of PyMongo. It allows you to define schemas for documents and query collections using syntax inspired by the Django ORM. The code is available on github; for more information, see the tutorial.
Minimongo
minimongo is a lightweight, pythonic interface to MongoDB. It retains pymongo’s query and update API, and provides a number of additional features, including a simple document-oriented interface, connection pooling, index management, and collection & database naming helpers. The source is on github.

Framework Tools

This section lists tools and adapters that have been designed to work with various Python frameworks and libraries.

  • Django MongoDB Engine is a MongoDB database backend for Django that completely integrates with its ORM. For more information see the tutorial.
  • mango provides MongoDB backends for Django sessions and authentication (bypassing django.db entirely).
  • mongodb_beaker is a project to enable using MongoDB as a backend for beaker’s caching / session system. The source is on github.
  • MongoLog is a Python logging handler that stores logs in MongoDB using a capped collection.
  • c5t is a content-management system using TurboGears and MongoDB.
  • rod.recipe.mongodb is a ZC Buildout recipe for downloading and installing MongoDB.
  • repoze-what-plugins-mongodb is a project working to support a plugin for using MongoDB as a backend for repoze.what.

Alternative Drivers

These are alternatives to PyMongo.

  • asyncmongo is an asynchronous library for accessing mongo which is built on the tornado ioloop.
  • TxMongo is an asynchronous Python driver for MongoDB, although it is not currently recommended for production use.

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