binx is a small Python framework for application data modeling and transformation. It's API relies heavily on marshmallow for validation, object serialization and storage. It's true purpose however is to expose an API that allows developers to model procedural code into directed, acyclic graphs of arbitrary complexity. A user can define an application or library as a family of binx.Collection objects (nodes) and use the binx.adapter module (edges) to create a network of data transformations while guaranteeing data integrity along the way.

The main goal of the project is to provide a simple API for data scientists, engineers or developers who write alot of procedural code to be able to organize their projects using a declarative style similar to how one might approach writing a web application using DRY principles.

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• Free software: MIT license
• Documentation: https://binx.readthedocs.io

This set of interfaces are designed to help you quickly scale up your notebooks/scripts and create uniformity between your projects!

binx provides:

• A declarative style in memory datastore (collections.py)
• A declarative Adapter API that helps model/manage relationships and data transformations between collections (adapter.py)
• consistent API for moving your data between json, py-objs, and pandas dataframes