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A pre-clinical Edge-AI SDK for diabetes management validation.

Project description

IINTS-AF SDK

EUCYS 2026 PyPI version CI Docs

IINTS-AF is an open-source research SDK for diabetes technology simulation.

The SDK lets researchers, students, and developers test diabetes-algorithm ideas in a virtual environment. It can simulate digital patients, meals, insulin delivery, CGM/sensor behavior, safety checks, glucose-prediction experiments, and generated reports.

The purpose of IINTS-AF is to make algorithm behavior easier to inspect and discuss before anything is connected to a real person.

IINTS-AF is not a medical device. It must not be used for diagnosis, insulin dosing, treatment decisions, or real-time patient care.

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Desktop App

IINTS-AF also has a native desktop app for running demos and opening generated results without using many terminal commands. Windows and Linux beta builds use the richer Qt interface; the current macOS DMG uses a small native Cocoa fallback so it opens more reliably while the Mac Qt bundle is being hardened.

Current beta downloads:

Platform Download
Windows .exe
macOS .dmg
Linux executable

Python install, including the PySide6 desktop runtime:

python -m pip install -U "iints-sdk-python35[full,desktop,mdmp]"
iints-desktop

Experimental next-generation shell: a Tauri + Rust desktop prototype lives in apps/iints-tauri. It keeps the Python SDK as the scientific engine while moving the native app boundary into Rust. See docs/TAURI_DESKTOP.md.

License

Apache-2.0 licensed, with legacy MIT notices where applicable.

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