DjanMon | Demo showing how to use MongoDB | Learning library

by mdirolf Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | DjanMon Summary

DjanMon is a Python library typically used in Tutorial, Learning, MongoDB applications. DjanMon has no bugs, it has no vulnerabilities and it has low support. However DjanMon build file is not available. You can download it from GitHub.

Demo showing how to use MongoDB with PyMongo from a Django project

Support

Quality

Security

License

Reuse

Support

DjanMon has a low active ecosystem.

It has 106 star(s) with 24 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DjanMon is current.

Quality

DjanMon has no bugs reported.

Security

DjanMon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

DjanMon does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

DjanMon releases are not available. You will need to build from source code and install.

DjanMon has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed DjanMon and discovered the below as its top functions. This is intended to give you an instant insight into DjanMon implemented functionality, and help decide if they suit your requirements.

View of a single page
Generate a filename

Get all kandi verified functions for this library.

DjanMon Key Features

No Key Features are available at this moment for DjanMon.

DjanMon Examples and Code Snippets

No Code Snippets are available at this moment for DjanMon.

Community Discussions

Trending Discussions on DjanMon

Django & Mongo ORM mapping

QUESTION

Django & Mongo ORM mapping

Asked 2017-May-04 at 17:48

I have a Django project with a MongoDB, connecting through pymongo. I've looked into several ORM(-like) layers, but none of them seem well maintained or supporting the Django 1.8 (mongo-engine only supports Django 1.5, mongokit is no longer maintained, and the other libraries seem to have no real community behind them).

So I think I'll be just using pymongo, which means that there is quite some things I'll need to implement myself, for example validation (checking that every document inserted in a collection has the required fields and field types). How would I go about this? Are there any example projects that I can take a look at?

I found this project which connects from Django directly to Mongo, but there is not much structure in it.

...

ANSWER

Answered 2017-May-04 at 17:48

Use PyMODM. As the docs you linked to say, "PyMODM 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 readthedocs in addition to a Gitter channel for discussing the project."

https://api.mongodb.com/python/3.4.0/tools.html

Source https://stackoverflow.com/questions/43788227

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install DjanMon

You can download it from GitHub.
You can use DjanMon like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: