Quickstart

This page is for: people who want a first successful run fast.

Fastest path: run iints start first. It tells you the shortest next command for a demo, project, study, edge setup, or data workflow.

Before this page: User Guide Map if you want the whole route.

After this page: Getting Started for the complete first project workflow.

Option 1: One-Command Demo

python3 -m venv .venv
source .venv/bin/activate
python -m pip install -U pip
python -m pip install -U "iints-sdk-python35[full,mdmp]"

iints doctor --suggest
iints start
iints demo

What you get: - a working simulation run - results.csv - report.pdf - run_manifest.json - an editable example algorithm in results/demo/demo_assets/

Useful variants:

iints start --goal project
iints start --goal project --run
iints start --goal edge
iints demo --dry-run
iints demo --full
iints demo --output-dir results/my_first_demo

Option 2: Guided First Run

If you want a bit more control without memorizing flags:

iints run --wizard

This asks for: - preset or custom setup - algorithm path or built-in baseline - duration - output directory - seed

Option 3: Your Own Starter Project

iints quickstart --project-name iints_quickstart
cd iints_quickstart
iints presets run --name baseline_t1d --algo algorithms/example_algorithm.py

What you get: - algorithms/example_algorithm.py - clinic-safe starter scenarios - demo data for certification - contracts and audit folders

If Something Fails

Start here:

iints doctor --full --suggest
iints run --dry-run --preset baseline_t1d

Then check: - Installation - Troubleshooting - CLI Command Reference

Where To Go Next

If you want to...	Continue with
understand the full first-run workflow	Getting Started
fix an install or path issue	Installation
see every beginner command	Command Reference
run a real benchmark study	Scientific Workflow
move to Raspberry Pi or UNO Q	Raspberry Pi Digital Patient