Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (
Help us improve Python packaging - Donate today!

Mokito is an asynchronous ORM for working with MongoDB inside a Tornado app

Project Description

# mokito
An asynchronous ORM for accessing MongoDB in Tornado

## What is mokito?
(MOngodb + [mongoKIt]( + TOrnado) is an asynchronous toolkit for working with ``mongodb`` inside a ``tornado`` app, like ``mongokit``. Mokito has a pure implementation of python + tornado and only depends on tornado and bson (provided by pymongo)

## Why not pymongo?
[PyMongo]( is the recommended way to work with MongoDB in Python, but isn't asynchronous and not run inside tornado's IOLoop. If you use pymongo you won't take the advantages of tornado.

## Why not motor?
[Motor]( wraps PyMongo and makes it async with greenlet. This is a great project, but it uses greenlet. If you can use greenlets why not use gevent instead of tornado? PyMongo already works with gevent. If you are using a very powerfull non-blocking web server with a pure python code, you'll probably want to work with a pure tornado driver for accessing mongo.

## Features
* validation and conversion of data to the specified type
* support for unstructured data
* dot notation
* control over data presentation
* control over data validation
* mapping onto the same document of models with different schemes

## Installing
pip install pymomgo tornado
pip install mokito

## Simple usage
from tornado.web import RequestHandler
from tornado.gen import coroutine

import mokito

class MainHandler(RequestHandler):

def initialize(self):
self.db = mokito.Client("db_name", "mongodb://")

def get(self, user_id):
user = yield self.db.user.find_one(user_id)
self.render("index.html", user=user)

## Using ORM
A Document declaration look as follows:

from mokito import Document

class BlogPost(Document):
fields = {

blogpost = BlogPost(title='my title', body='a body', author='unknown', foo='bar')
blogpost['author'] = 'me'
MongoDB in the collection "blog_post" will write this document:
{"_id": ObjectId("..."), "body": "a body", "author": "me", "title": "my title"}
The field "foo" will not be saved. More about this you can read in [wiki](

And you can use a more complex structure as follows:
class ComplexDoc(Document):
__uri__ = "mongodb://"
__database__ = 'test'
__collection__ = 'example'

fields = {
"f_1": None,
"f_2": int,
"f_3": float,
"f_4": dict,
"f_5": [str],
"f_6": (int, str),
"f_7": {
"x_1": {'a': int, 'b': datetime.datetime},
"x_2": None,
"x_3": list

Please see the [wiki]( for more examples.

Release History

This version
History Node


History Node


History Node


History Node


History Node


History Node


Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
(24.8 kB) Copy SHA256 Hash SHA256
Source None Oct 4, 2017

Supported By

Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Kabu Creative Kabu Creative UX & Design Google Google Cloud Servers Fastly Fastly CDN StatusPage StatusPage Statuspage DigiCert DigiCert EV Certificate