Erlenmeyer allows you to create fully-functional Flask servers, complete with SQLAlchemy models, from a Core Data file.
It's Flask, SQLAlchemy, and Core Data. Get it? It's a chemistry pun. Get it?
quickstart :: erlenmeyer script :: erlenmeyer module :: test project


To install, use:
$ pip install erlenmeyer

Then, to create a new project:
$ erlenmeyer -p MegaBits -c MBModels.xcodedatamodeld

This command will generate a new Flask project, called MegaBits, with the following directory structure:
Where the ellipses (...) are lists of models built from your Core Data file.

Flask File

The Flask file (e.g. is the primary Flask service. It creates the Flask app and SQLAlchemy instances, and forwards requests to the handler objects found in the handlers module.

This service has 3 globally accessible variables:


The handlers module contains a separate handler object for each model object built from your Core Data file. Every handler has 5+ methods, depending on the relational complexity of the underlying model.

Each handler method retrieves or applies the appropriate information to its underlying model, and returns a cooresponding flask.Response object, depending on success. In addition, all handler methods are also documented inline.


The models module contains object which are created from your Core Data file, and inherit from flask.ext.sqlalchemy.Model.


settings.json contains information for the runtime of the service. The "server" dictionary provides information for the Flask app, such as the IP address and port on which to broadcast. And the "sql" dictionary provides SQLAlchemy login and database information with which it should store the models.


The REST API documentation file (e.g. MegaBits.html) is a Twitter Bootstrap-based documentation page. It provides API documentation for each of the URL endpoints laid out in the Flask file.

Other bits...

For feature requests and bug reports, please use

Why on earth did we do this? For MegaBits, of course!