PUBLIC MARKS with tag orm

Une application de conception visuelle pour NHibernate pour faciliter le mapping des bases de données.

Ability to configure table and column names

ORM - Object Relationnal Mapper : outils permettant de manipuler les données d'une base au travers d'objets qui représentent généralement des enregistrements de tables. Ils évitent de ne pas utiliser du SQL, et facilite donc la séléction, l'enregistrement ou la déstruction des données.

Junction is the glue between your application and its database. Easy to use and extensible, Junction allows developers to focus on building applications instead of worrying about state persistence.

That's cause Django gets the model definition language right - they're just using the wrong underlying library.

A very interesting article about Django ORM, what to keep and what to borrows from somewhere else.

Geniusql is a public domain, low-level Object-Relational Mapper for Python applications. If you're familiar with Martin Fowler's work, you can think of Geniusql as providing a Data Source layer. It primarily uses a generic Table Data Gateway architecture (as opposed to the more tightly-coupled Active Record architecture recently popularized by Ruby On Rails and Django). If you want a more powerful solution, we recommend skipping Active Record and going straight to a Data Mapper like Dejavu. Dejavu uses Geniusql behind the scenes for RDBMS back ends, but allows you to mix and match them with RAM, filesystem, and other stores.

An ORM model for the Sphinx full-text search engine.

PyDAO is very thin object-relational mapper similar to Hibernate (but much simpler). It's created to speed-up application development. It's very simple, but powerful, based on POPO (Plain Old Python Objects).

New Python-based database communication tool represents first open source component of Launchpad LONDON, July 9, 2007 – Canonical Ltd today announced the release of Storm, a generic open source object relational mapper (ORM) for Python. Storm is designed to support communication with multiple databases simultaneously. Canonical is best known for the popular Ubuntu operating system and Launchpad, a web-based collaboration platform for open source developers. "Storm is an ORM that simplifies the development of database-backed applications in Python, especially for projects that use very large databases or multiple databases with a seamless web front-end", said Gustavo Niemeyer, lead developer of Storm at Canonical. "Storm is particularly designed to feel very natural to Python programmers, and exposes multiple databases as /stores/ in a clean and easy to use fashion." The project has been in development for more than a year for use in Canonical projects such as Launchpad, and is now publicly available under the LGPL license. This will be the first complete Launchpad component to be released as open source software. "We're excited about using Storm for Launchpad, and that it is being released as open source. Storm's API is clear and well designed, making it a joy to work with, " said Steve Alexander, Launchpad Product Manager at Canonical. "The scalability advantages of Storm's architecture are important for us to ensure that Launchpad continues to perform well as the number of Launchpad users grows." Launchpad currently includes developers data for several thousand projects and is used by tens of thousands of developers, translators, and other free software contributors. The Storm project welcomes participation, and has a new website at http://storm.canonical.com. That site includes a tutorial, and links to allow developers to download, report bugs and join the mailing list.