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<div class="section" id="tools">
<h1>Tools<a class="headerlink" href="#tools" title="Permalink to this headline">¶</a></h1>
<p>Many tools have been written for working with <strong>PyMongo</strong>. If you know
of or have created a tool for working with MongoDB from Python please
list it here.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>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).</p>
<p class="last">If a project gets removed that is still being developed or is in active use
please let us know or add it back.</p>
</div>
<div class="section" id="orm-like-layers">
<h2>ORM-like Layers<a class="headerlink" href="#orm-like-layers" title="Permalink to this headline">¶</a></h2>
<p>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.</p>
<p>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.</p>
<dl class="docutils">
<dt>PyMODM</dt>
<dd><a class="reference external" href="https://pypi.python.org/pypi/pymodm">PyMODM</a> is an ORM-like framework on top
of PyMongo. PyMODM is maintained by engineers at MongoDB, Inc. and is quick
to adopt new MongoDB features. PyMODM is a “core” ODM, meaning that it
provides simple, extensible functionality that can be leveraged by other
libraries to target platforms like Django. At the same time, PyMODM is
powerful enough to be used for developing applications on its own. Complete
documentation is available on <a class="reference external" href="https://pymodm.readthedocs.io/en/stable/">readthedocs</a> in addition to a <a class="reference external" href="https://gitter.im/mongodb/pymodm">Gitter channel</a> for discussing the project.</dd>
<dt>Humongolus</dt>
<dd><a class="reference external" href="https://github.com/entone/Humongolus">Humongolus</a> is a lightweight ORM
framework for Python and MongoDB. The name comes from the combination of
MongoDB and <a class="reference external" href="http://en.wikipedia.org/wiki/Homunculus">Homunculus</a> (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
<a class="reference external" href="https://github.com/entone/Humongolus">at GitHub</a>. Tutorials and usage
examples are also available at GitHub.</dd>
<dt>Ming</dt>
<dd><a class="reference external" href="http://merciless.sourceforge.net/">Ming</a> (the Merciless) is a
library that allows you to enforce schemas on a MongoDB database in
your Python application. It was developed by <a class="reference external" href="http://sourceforge.net/">SourceForge</a> in the course of their migration to
MongoDB. See the <a class="reference external" href="http://blog.pythonisito.com/2009/12/ming-01-released-python-library-for.html">introductory blog post</a>
for more details.</dd>
<dt>MongoEngine</dt>
<dd><a class="reference external" href="http://mongoengine.org/">MongoEngine</a> 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 <a class="reference external" href="http://github.com/mongoengine/mongoengine">GitHub</a>; for more information, see
the <a class="reference external" href="http://docs.mongoengine.org/en/latest/tutorial.html">tutorial</a>.</dd>
<dt>MotorEngine</dt>
<dd><a class="reference external" href="https://motorengine.readthedocs.io/">MotorEngine</a> is a port of
MongoEngine to Motor, for asynchronous access with Tornado.
It implements the same modeling APIs to be data-portable, meaning that a
model defined in MongoEngine can be read in MotorEngine. The source is
<a class="reference external" href="http://github.com/heynemann/motorengine">available on GitHub</a>.</dd>
<dt>uMongo</dt>
<dd><a class="reference external" href="https://umongo.readthedocs.io/">uMongo</a> is a Python MongoDB ODM.
Its inception comes from two needs: the lack of async ODM and the
difficulty to do document (un)serialization with existing ODMs.
Works with multiple drivers: PyMongo, TxMongo, motor_asyncio, and
mongomock. The source <a class="reference external" href="https://github.com/Scille/umongo">is available on GitHub</a></dd>
</dl>
<div class="section" id="no-longer-maintained">
<h3>No longer maintained<a class="headerlink" href="#no-longer-maintained" title="Permalink to this headline">¶</a></h3>
<dl class="docutils">
<dt>MongoKit</dt>
<dd>The <a class="reference external" href="http://github.com/namlook/mongokit">MongoKit</a> framework
is an ORM-like layer on top of PyMongo. There is also a MongoKit
<a class="reference external" href="http://groups.google.com/group/mongokit">google group</a>.</dd>
<dt>MongoAlchemy</dt>
<dd><a class="reference external" href="http://mongoalchemy.org">MongoAlchemy</a> is another ORM-like layer on top of
PyMongo. Its API is inspired by <a class="reference external" href="http://sqlalchemy.org">SQLAlchemy</a>. The
code is available <a class="reference external" href="http://github.com/jeffjenkins/MongoAlchemy">on GitHub</a>;
for more information, see <a class="reference external" href="http://mongoalchemy.org/tutorial.html">the tutorial</a>.</dd>
<dt>Minimongo</dt>
<dd><a class="reference external" href="http://pypi.python.org/pypi/minimongo">minimongo</a> 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 <a class="reference external" href="https://github.com/MiniMongo/minimongo">source is on GitHub</a>.</dd>
<dt>Manga</dt>
<dd><a class="reference external" href="http://pypi.python.org/pypi/manga">Manga</a> aims to be a simpler ORM-like
layer on top of PyMongo. The syntax for defining schema is inspired by the
Django ORM, but Pymongo’s query language is maintained. The source <a class="reference external" href="http://github.com/wladston/manga">is on
GitHub</a>.</dd>
</dl>
</div>
</div>
<div class="section" id="framework-tools">
<h2>Framework Tools<a class="headerlink" href="#framework-tools" title="Permalink to this headline">¶</a></h2>
<p>This section lists tools and adapters that have been designed to work with
various Python frameworks and libraries.</p>
<ul class="simple">
<li><a class="reference external" href="https://nesdis.github.io/djongo/">Djongo</a> is a connector for using
Django with MongoDB as the database backend. Use the Django Admin GUI to add and
modify documents in MongoDB.
The <a class="reference external" href="https://github.com/nesdis/djongo">Djongo Source Code</a> is hosted on GitHub
and the <a class="reference external" href="https://pypi.python.org/pypi/djongo">Djongo package</a> is on pypi.</li>
<li><a class="reference external" href="https://django-mongodb-engine.readthedocs.io/en/latest/">Django MongoDB Engine</a> is a MongoDB
database backend for Django that completely integrates with its ORM.
For more information <a class="reference external" href="https://django-mongodb-engine.readthedocs.io/en/latest/tutorial.html">see the tutorial</a>.</li>
<li><a class="reference external" href="http://github.com/vpulim/mango">mango</a> provides MongoDB backends for
Django sessions and authentication (bypassing <code class="xref py py-mod docutils literal notranslate"><span class="pre">django.db</span></code> entirely).</li>
<li><a class="reference external" href="https://github.com/MongoEngine/django-mongoengine">Django MongoEngine</a> is a MongoDB backend for
Django, an <a class="reference external" href="https://github.com/MongoEngine/django-mongoengine/tree/master/example/tumblelog">example:</a>.
For more information <a class="reference external" href="http://docs.mongoengine.org/en/latest/django.html">http://docs.mongoengine.org/en/latest/django.html</a></li>
<li><a class="reference external" href="http://pypi.python.org/pypi/mongodb_beaker">mongodb_beaker</a> is a
project to enable using MongoDB as a backend for <a class="reference external" href="http://beaker.groovie.org/">beaker’s</a> caching / session system.
<a class="reference external" href="http://github.com/bwmcadams/mongodb_beaker">The source is on GitHub</a>.</li>
<li><a class="reference external" href="https://github.com/log4mongo/log4mongo-python">Log4Mongo</a> is a flexible
Python logging handler that can store logs in MongoDB using normal and capped
collections.</li>
<li><a class="reference external" href="http://github.com/puentesarrin/mongodb-log/">MongoLog</a> is a Python logging
handler that stores logs in MongoDB using a capped collection.</li>
<li><a class="reference external" href="http://bitbucket.org/percious/c5t/">c5t</a> is a content-management system
using TurboGears and MongoDB.</li>
<li><a class="reference external" href="http://pypi.python.org/pypi/rod.recipe.mongodb/">rod.recipe.mongodb</a> is a
ZC Buildout recipe for downloading and installing MongoDB.</li>
<li><a class="reference external" href="http://code.google.com/p/repoze-what-plugins-mongodb/">repoze-what-plugins-mongodb</a> is a project
working to support a plugin for using MongoDB as a backend for
<code class="xref py py-mod docutils literal notranslate"><span class="pre">repoze.what</span></code>.</li>
<li><a class="reference external" href="http://github.com/theorm/mongobox">mongobox</a> is a tool to run a sandboxed
MongoDB instance from within a python app.</li>
<li><a class="reference external" href="http://github.com/cobrateam/flask-mongoalchemy/">Flask-MongoAlchemy</a> Add
Flask support for MongoDB using MongoAlchemy.</li>
<li><a class="reference external" href="http://github.com/jarus/flask-mongokit/">Flask-MongoKit</a> Flask extension
to better integrate MongoKit into Flask.</li>
<li><a class="reference external" href="http://github.com/dcrosta/flask-pymongo/">Flask-PyMongo</a> Flask-PyMongo
bridges Flask and PyMongo.</li>
</ul>
</div>
<div class="section" id="alternative-drivers">
<h2>Alternative Drivers<a class="headerlink" href="#alternative-drivers" title="Permalink to this headline">¶</a></h2>
<p>These are alternatives to PyMongo.</p>
<ul class="simple">
<li><a class="reference external" href="https://github.com/mongodb/motor">Motor</a> is a full-featured, non-blocking
MongoDB driver for Python Tornado applications.</li>
<li><a class="reference external" href="https://github.com/twisted/txmongo">TxMongo</a> is an asynchronous Twisted
Python driver for MongoDB.</li>
<li><a class="reference external" href="https://github.com/mongomock/mongomock">MongoMock</a> is a small
library to help testing Python code that interacts with MongoDB via
Pymongo.</li>
</ul>
</div>
</div>
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<h3><a href="index.html">Table of Contents</a></h3>
<ul>
<li><a class="reference internal" href="#">Tools</a><ul>
<li><a class="reference internal" href="#orm-like-layers">ORM-like Layers</a><ul>
<li><a class="reference internal" href="#no-longer-maintained">No longer maintained</a></li>
</ul>
</li>
<li><a class="reference internal" href="#framework-tools">Framework Tools</a></li>
<li><a class="reference internal" href="#alternative-drivers">Alternative Drivers</a></li>
</ul>
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