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A fast unobtrusive MongoDB ODM for Python

Project description

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# MongoFrames

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MongoFrames is a fast unobtrusive MongoDB ODM for Python designed to fit into a workflow not dictate one. Documentation is available at []( and includes:

- [A getting started guide](
- [Tutorials/Snippets](
- [API documentation](

## Installation

We recommend you use [virtualenv]( or [virtualenvwrapper]( to create a virtual environment for your install. There are several options for installing MongoFrames:

- `pip install MongoFrames` *(recommended)*
- `easy_install MongoFrames`
- Download the source and run `python install`

## Dependencies

- [blinker]( >= 1.4
- [pymongo]( >= 3
- [pytest]( >= 2.8.7 *(only for testing)*

## 10 second example

from mongoframes import *

# Define some document frames (a.k.a models)
class Dragon(Frame):
_fields = {'name', 'loot'}

class Item(Frame):
_fields = {'desc', 'value'}

# Create a dragon and loot to boot
Item(desc='Sock', value=1).insert()
Item(desc='Diamond', value=100).insert()
Dragon(name='Burt', loot=Item.many()).insert()

# Have Burt boast about his loot
burt = == 'Burt', projection={'loot': {'$ref': Item}})
for item in burt.loot:
print('I have a {} worth {0.value} crown'.format(item))

## Testing

To test the library you'll need to be running a local instance of MongoDB on the standard port.

To run the test suite: `py.test`
To run the test suite on each supported version of Python: `tox`

## Helpful organizations
MongoFrames is developed using a number of tools & services provided for free by nice folks at organizations committed to supporting open-source projects including [GitHub]( and [Travis CI](

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