Set of classes that are reusable across various types of web apps, base user object, auth relationships + structured resource tree
BUG TRACKER: https://github.com/ergo/ziggurat_foundations
Top layer to make authentication, resource ownership and permission management fast, simple and easy. In summary, Ziggurat Foundations (Zigg), is a set of framework agnostic set of sqlalchemy classes, but most of the documentation refers to using it within pyramid. It is the perfect solution for handling complex login and user management systems, from e-commerce systems, to private intranets or large (and small) CMS systems. It can easily be extended to support any additional features you may need (explained further in the documentation)
Zigg has been used (at scale) for very large implementations (millions of real users) and has been extended for custom applications such as geo-location applications that rely on pin-point accuracy for a users location. Zigg has been designed to work for high end environments, where the user(s) are at the main focus of the application (for example Zigg could become the backbone for a social media style application).
Zigg supplies a set of sqlalchemy mixins that can be used to extend models in your application built in pyramid/flask/(your-favourite-framework-here). The aim of this project is to supply set of generic models that cover the most common needs in application development when it comes to authorization - using flat and tree like data structures. We provide nearly every feature you will need in a standard application, but provide the mixins as we understand that every implementation has its own use case and in doing so, extending the base models is very easy.
Zigg supplies extendable, robust and well tested models that include:
Zigg provides standard functions that let you:
Ziggurat Foundations is BSD Licensed
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|ziggurat_foundations-0.7.1-py2.py3-none-any.whl (68.0 kB) Copy SHA256 Checksum SHA256||py2.py3||Wheel||Feb 19, 2017|
|ziggurat_foundations-0.7.1.tar.gz (40.9 kB) Copy SHA256 Checksum SHA256||–||Source||Feb 19, 2017|