IINTS-AF SDK
IINTS-AF is an open-source research SDK for diabetes-technology simulation. It provides virtual-patient scenarios, algorithm experiments, deterministic safety checks, data-assurance tools, glucose-forecasting research, and reproducible reports.
Its purpose is to make diabetes-technology behavior easier to inspect, test, 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.
Start
python -m pip install -U "iints-sdk-python35[full,mdmp,research,edge]"
iints demo
iints menu
iints version --refresh
Desktop App
The optional Rust/Tauri research workbench offers guided runs, result inspection, local AI review, and data-assurance tools.
| Platform | Latest beta |
|---|---|
| Windows | .exe installer |
| macOS | .dmg |
| Linux | .AppImage |
Links
- Website: iints.org
- Documentation: python35.github.io/IINTS-SDK
- Source: github.com/python35/IINTS-SDK
- Desktop guide: Tauri research workbench
License
Apache-2.0 licensed, with legacy MIT notices where applicable.
Metadata
Release files for iints-sdk-python35 1.5.35
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| iints_sdk_python35-1.5.35.tar.gz | 5.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iints_sdk_python35-1.5.35-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.6 MB
Release files / iints_sdk_python35-1.5.35.tar.gz
| Download URL | iints_sdk_python35-1.5.35.tar.gz |
|---|---|
| Size | 5.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / iints_sdk_python35-1.5.35-py3-none-any.whl
| Download URL | iints_sdk_python35-1.5.35-py3-none-any.whl |
|---|---|
| Size | 5.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 2, 2026.
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