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Minimal database Model management for MongoDB

Project description


:Info: Minimal database Model management for MongoDB.
:Author: Steve Lacy, Dmitrii Vlasov <>


``minimongo`` is a lightweight, schemaless, Pythonic Object-Oriented
interface to MongoDB.

It provides a very thin, dynamicly typed (schema-less) object management
layer with simple consistency for any data stored in any MongoDB collection.
``minimongo`` directly calls the existing pymongo_ query syntax.

``minimongo`` can easily layer on top of existing MongoDB collections, and
will work properly with almost any existing schema, even from third party


If you have `setuptools <>`_
you can use ``easy_install -U minimongo``. Otherwise, you can download the
source from `GitHub <>`_ and run ``python install``.

- pymongo_ 2.1+
- `sphinx <>`_ (optional -- for documentation generation)


Here's a very brief example of creating an object, querying for it, modifying
a field, and then saving it back again::

from minimongo import Model, Index

class Foo(Model):
class Meta:
# Here, we specify the database and collection names.
# A connection to your DB is automatically created.
database = "minimongo"
collection = "rocks"

# Now, we programatically declare what indices we want.
# The arguments to the Index constructor are identical to
# the args to pymongo"s ensure_index function.
indices = (

if __name__ == "__main__":
# Create & save an object, and return a local in-memory copy of it:
foo = Foo({"x": 1, "y": 2}).save()

# Find that object again, loading it into memory:
foo = Foo.collection.find_one({"x": 1})

# Change a field value, and save it back to the DB.
foo.other = "some data"

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