This software provides an interface for MongoDB that allows for object mapping similar to object-relational mapping (ORM).
The Mongokit-Pylons is a MongoDB interface specifically designed for Object-Relational Mapping (ORM) and object mapping in the Pylons support. If you're not familiar with MongoDB and MongoKit, the former is a schema-less NoSQL document-oriented database readily available online. Meanwhile, the latter serves as an ORM-like layer that enhances how you manage MongoDB data through object-layer definition. By using this layer, you can define schema outlines that include fields, values, and characteristics that are allowed and required to guarantee consistency. However, while schema-less databases don't require strict schemas, defining them helps in controlling the fields you want to permit.
MongoKit, the original tool, is developed by Namlook and can be accessed through their official website. But if you're looking for a solution that can help you conveniently integrate Mongokit within Pylons web framework setup, then the Mongokit-Pylons fork is perfect for you. It parses mongo configuration from Pylons ini files, simplifies setup in environment.py, and provides an always-available, thread-local connection pool, much like how SQLAlchemy is typically structured in Pylons.
In addition to these features, there are also several enhancements added to the Mongokit-Pylons fork, primarily for property-like setter/getter proxying for values, which provides a more convenient way of getting and setting values compared to pure dictionary access. The fork also supports MongoDB driver's autoreferencing features that allow you to embed Mongokit objects/instances inside another Mongokit object. With autoreferencing, the pymongo driver automatically handles (de)serialization, translating embedded Mongokit object values into internal MongoDB DBRefs.
Overall, Mongokit-Pylons proves to be a powerful, flexible, and convenient tool that streamlines the ORM-like mapping, object-mapping, and connection-pooling processes in Pylons support. And with the intention of merging this fork back into the main project, we can only expect more improvements and enhancements that will make MongoDB/Mongokit integration a breeze.
MongoKit, the original tool, is developed by Namlook and can be accessed through their official website. But if you're looking for a solution that can help you conveniently integrate Mongokit within Pylons web framework setup, then the Mongokit-Pylons fork is perfect for you. It parses mongo configuration from Pylons ini files, simplifies setup in environment.py, and provides an always-available, thread-local connection pool, much like how SQLAlchemy is typically structured in Pylons.
In addition to these features, there are also several enhancements added to the Mongokit-Pylons fork, primarily for property-like setter/getter proxying for values, which provides a more convenient way of getting and setting values compared to pure dictionary access. The fork also supports MongoDB driver's autoreferencing features that allow you to embed Mongokit objects/instances inside another Mongokit object. With autoreferencing, the pymongo driver automatically handles (de)serialization, translating embedded Mongokit object values into internal MongoDB DBRefs.
Overall, Mongokit-Pylons proves to be a powerful, flexible, and convenient tool that streamlines the ORM-like mapping, object-mapping, and connection-pooling processes in Pylons support. And with the intention of merging this fork back into the main project, we can only expect more improvements and enhancements that will make MongoDB/Mongokit integration a breeze.
What's New
Version 0.2.0: N/A