MgPy
Python kernel for automation
An IPython-based Mg kernel unlocks Python for automation, analysis, debugging, and interactive model exploration.
Problem
What it solves
Model operations that need scripting, batch processing, or custom analysis require a flexible programmatic interface.
How it works
Using MgPy
1
Open Jupyter
Use the Mg IPython kernel inside JupyterLab with full Python 3 ecosystem access.
2
Automate and analyze
Script model edits, run queries, and build custom analysis pipelines.
3
Debug interactively
Explore models with debug and console support aligned with MgPy conventions.
Gallery
Examples
Related