Readme
PyModels is a lightweight framework for mapping Python classes to schema-less
databases. It is not an ORM as it doesn't map existing schemata to Python
objects but instead defines them on a higher layer built upon a schema-less
storage (key/value or document-oriented). You define models as a valuable subset
of the whole database and work with only certain parts of existing entities --
the parts you need.
Since 21 Feb 2010 this package is named "PyModels". It was renamed due to name clashes between the library and local module with concrete models. It is natural to name the latter "models.py" (e.g. in Django), so it would obviously conflict with an external library named "models".
Please update your bookmarks, dependency lists, etc.
The package is still unstable so I hope the renaming didn't do much harm. :)
$ sudo easy_install pymodels
FAQs
Python models for schema-less databases.
We found that models demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Socket CEO Feross Aboukhadijeh joins a16z partners to discuss how modern, sophisticated supply chain attacks require AI-driven defenses and explore the challenges and solutions in leveraging AI for threat detection early in the development life cycle.
Security News
NIST's new AI Risk Management Framework aims to enhance the security and reliability of generative AI systems and address the unique challenges of malicious AI exploits.
Security News
This episode of the Risky Biz podcast discusses how the rise of small open source packages and the shift towards individual maintainers makes the ecosystem more vulnerable to supply chain attacks.