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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 <https://github.com/entone/Humongolus>`_ is a lightweight ORM
framework for Python and MongoDB. The name comes from the combination of
MongoDB and `Homunculus <http://en.wikipedia.org/wiki/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 <https://github.com/entone/Humongolus>`_. Tutorials and usage
examples are also available at GitHub.
MongoKit
The `MongoKit <http://github.com/namlook/mongokit>`_ framework
is an ORM-like layer on top of PyMongo. There is also a MongoKit
`google group <http://groups.google.com/group/mongokit>`_.
Ming
`Ming <http://merciless.sourceforge.net/>`_ (the Merciless) is a
library that allows you to enforce schemas on a MongoDB database in
your Python application. It was developed by `SourceForge
<http://sourceforge.net/>`_ in the course of their migration to
MongoDB. See the `introductory blog post
<http://blog.pythonisito.com/2009/12/ming-01-released-python-library-for.html>`_
for more details.
MongoAlchemy
`MongoAlchemy <http://mongoalchemy.org>`_ is another ORM-like layer on top of
PyMongo. Its API is inspired by `SQLAlchemy <http://sqlalchemy.org>`_. The
code is available `on github <http://github.com/jeffjenkins/MongoAlchemy>`_;
for more information, see `the tutorial <http://mongoalchemy.org/tutorial.html>`_.
MongoEngine
`MongoEngine <http://mongoengine.org/>`_ 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
<http://github.com/hmarr/mongoengine>`_; for more information, see
the `tutorial <http://mongoengine.org/docs/v0.5/tutorial.html>`_.
Minimongo
`minimongo <http://pypi.python.org/pypi/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
<http://github.com/slacy/minimongo>`_.
Framework Tools
---------------
This section lists tools and adapters that have been designed to work with
various Python frameworks and libraries.
* `Django MongoDB Engine
<http://django-mongodb.org/>`_ is a MongoDB
database backend for Django that completely integrates with its ORM.
For more information `see the tutorial <http://django-mongodb.org/tutorial.html>`_.
* `mango <http://github.com/vpulim/mango>`_ provides MongoDB backends for
Django sessions and authentication (bypassing :mod:`django.db` entirely).
* `mongodb_beaker <http://pypi.python.org/pypi/mongodb_beaker>`_ is a
project to enable using MongoDB as a backend for `beaker's
<http://beaker.groovie.org/>`_ caching / session system.
`The source is on github <http://github.com/bwmcadams/mongodb_beaker>`_.
* `MongoLog <http://github.com/andreisavu/mongodb-log/>`_ is a Python logging
handler that stores logs in MongoDB using a capped collection.
* `c5t <http://bitbucket.org/percious/c5t/>`_ is a content-management system
using TurboGears and MongoDB.
* `rod.recipe.mongodb <http://pypi.python.org/pypi/rod.recipe.mongodb/>`_ is a
ZC Buildout recipe for downloading and installing MongoDB.
* `repoze-what-plugins-mongodb
<http://code.google.com/p/repoze-what-plugins-mongodb/>`_ is a project
working to support a plugin for using MongoDB as a backend for
:mod:`repoze.what`.
Alternative Drivers
-------------------
These are alternatives to PyMongo.
* `asyncmongo <https://github.com/bitly/asyncmongo>`_ is an asynchronous library
for accessing mongo which is built on the tornado ioloop.
* `TxMongo <http://github.com/fiorix/mongo-async-python-driver>`_ is an
asynchronous Python driver for MongoDB, although it is not currently
recommended for production use.
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