min_aml

A minimal example of an ERKG graph used in anti-fraud (AML)

Getting Started

The code uses Python versions 3.11 through 3.13, and gets validated on these through continuous integration.

The following must be downloaded and installed to run this tutorial:

• Git https://git-scm.com/install/
• Python 3.11-3.13 https://www.python.org/downloads/release/python-3139/
• Poetry https://python-poetry.org/docs/

To get started, use git to clone the repo, then connect into the repo directory and use poetry to install the Python dependencies:

git clone https://github.com/DerwenAI/min_aml.git
cd min_aml

poetry update

Then run JupyterLab and navigate to the demo.ipynmb notebook to view the datasets:

poetry run jupyter lab

Reference

License and Copyright

 

Source code for this repository plus its logo, documentation, and examples have an MIT license which is succinct and simplifies use in commercial applications.

All materials herein are Copyright © 2026 Senzing, Inc.