A Python Object-Document-Mapper for working with MongoDB
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erdenezul Merge pull request #1877 from bagerard/improve_ComplexField_validatio…

Handles edge case when EmbeddedDocumentListField receives a Document and not a list
Latest commit 1887f5b Sep 18, 2018



Info:MongoEngine is an ORM-like layer on top of PyMongo.
Author: Harry Marr (http://github.com/hmarr)
Maintainer:Stefan Wójcik (http://github.com/wojcikstefan)
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MongoEngine is a Python Object-Document Mapper for working with MongoDB. Documentation is available at https://mongoengine-odm.readthedocs.io - there is currently a tutorial, a user guide, and an API reference.

Supported MongoDB Versions

MongoEngine is currently tested against MongoDB v2.4, v2.6, and v3.0. Future versions should be supported as well, but aren't actively tested at the moment. Make sure to open an issue or submit a pull request if you experience any problems with MongoDB v3.2+.


We recommend the use of virtualenv and of pip. You can then use pip install -U mongoengine. You may also have setuptools and thus you can use easy_install -U mongoengine. Otherwise, you can download the source from GitHub and run python setup.py install.


All of the dependencies can easily be installed via pip. At the very least, you'll need these two packages to use MongoEngine:

  • pymongo>=2.7.1
  • six>=1.10.0

If you utilize a DateTimeField, you might also use a more flexible date parser:

  • dateutil>=2.1.0

If you need to use an ImageField or ImageGridFsProxy:

  • Pillow>=2.0.0


Some simple examples of what MongoEngine code looks like:

from mongoengine import *

class BlogPost(Document):
    title = StringField(required=True, max_length=200)
    posted = DateTimeField(default=datetime.datetime.utcnow)
    tags = ListField(StringField(max_length=50))
    meta = {'allow_inheritance': True}

class TextPost(BlogPost):
    content = StringField(required=True)

class LinkPost(BlogPost):
    url = StringField(required=True)

# Create a text-based post
>>> post1 = TextPost(title='Using MongoEngine', content='See the tutorial')
>>> post1.tags = ['mongodb', 'mongoengine']
>>> post1.save()

# Create a link-based post
>>> post2 = LinkPost(title='MongoEngine Docs', url='hmarr.com/mongoengine')
>>> post2.tags = ['mongoengine', 'documentation']
>>> post2.save()

# Iterate over all posts using the BlogPost superclass
>>> for post in BlogPost.objects:
...     print '===', post.title, '==='
...     if isinstance(post, TextPost):
...         print post.content
...     elif isinstance(post, LinkPost):
...         print 'Link:', post.url
...     print

# Count all blog posts and its subtypes
>>> BlogPost.objects.count()
>>> TextPost.objects.count()
>>> LinkPost.objects.count()

# Count tagged posts
>>> BlogPost.objects(tags='mongoengine').count()
>>> BlogPost.objects(tags='mongodb').count()


To run the test suite, ensure you are running a local instance of MongoDB on the standard port and have nose installed. Then, run python setup.py nosetests.

To run the test suite on every supported Python and PyMongo version, you can use tox. You'll need to make sure you have each supported Python version installed in your environment and then:

# Install tox
$ pip install tox
# Run the test suites
$ tox

If you wish to run a subset of tests, use the nosetests convention:

# Run all the tests in a particular test file
$ python setup.py nosetests --tests tests/fields/fields.py
# Run only particular test class in that file
$ python setup.py nosetests --tests tests/fields/fields.py:FieldTest
# Use the -s option if you want to print some debug statements or use pdb
$ python setup.py nosetests --tests tests/fields/fields.py:FieldTest -s



We welcome contributions! See the Contribution guidelines