Health Dashboard · For Mac · v0.7.1

Your Apple Health data,
finally readable on Mac.

A private, local-first desktop app that turns your Apple Health export into doctor-ready dashboards, clinical-grade ECG prints, and a natural-language Q&A interface over years of cardiac, sleep, activity, and gait data.

Download for Mac See what's inside
Universal — Apple Silicon and Intel
✓ Runs entirely on your Mac ✓ Signed & notarized by Apple ✓ No cloud account, no subscription
Health Dashboard, see Watch data on Mac. - You have the Apple Watch now read its data on Mac | Product Hunt
What it does

You already paid for the watch. Now use the data.

Apple Health silently collects hundreds of thousands of measurements every year — heart rate samples, sleep stages, blood oxygen, HRV, gait, audio exposure, ECGs. The Health app shows you yesterday. Health Dashboard shows you the whole story, side-by-side, drillable, exportable, and ready to share with a physician.

Import once. Explore everything.

Point it at the apple_health_export folder you got from your iPhone. In about 5 seconds it ingests the full XML (typically 300,000+ records spanning a year or more), every recorded ECG, and every daily activity ring into a local SQLite database. Re-import any time — the database rebuilds from scratch so duplicates are impossible.

Feature set

Nine focused views.
One database.

Each page is purpose-built for a question a clinician or curious owner would actually ask. Every chart on every page drills down to the day — and every page respects the same date range filter at the top.

♥

Cardiac

Daily min/avg/max heart rate over your full history, plus resting HR, HRV (SDNN), blood oxygen, respiratory rate, walking HR, and high-HR events. Click any day for a 24-hour minute-by-minute trace.

☾

Sleep & Recovery

Stacked nightly stages (Deep · Core · REM · Awake), sleeping wrist temperature, breathing disturbances, and a computed readiness score (HRV + RHR + sleep duration + temp deviation vs your trailing 30-day baseline).

◐

Activity

Daily steps, distance, active and basal energy, exercise minutes, stand hours, and ring completion. Drill into hourly samples for any single day.

↗

Long-term Trends

Weekly resting heart rate, weekly HRV, walking speed, body mass, flights climbed. The view a doctor asks for when reviewing the last 6–12 months.

☀

Environment

Daily environmental audio exposure, headphone audio levels, and minutes of time spent in daylight. Click a point to see which day spiked.

⏵

ECG Viewer & Print

Browse every electrocardiogram your Apple Watch ever recorded with Apple's classification and logged symptoms. One click turns any single recording into a landscape clinical PDF — three 10-second strips on pink grid paper, 25 mm/s × 10 mm/mV scale, calibration pulse, computed BPM. The format a cardiologist already knows how to read.

📄

Full Report PDF

One button generates a multi-page paginated report covering every dashboard view — Overview, Cardiac, Sleep, Activity, Trends, Environment, and every ECG — under a single branded cover page carrying your demographics and the active data window. Every page footer carries the date and the "educational, not diagnostic" line. Walk into your next appointment with it printed.

✦

Ask

A persistent chat that runs SQL against your data. Switch between OpenAI (cloud) or Ollama (fully local). Past conversations are saved; new chats are one click away.

≣

All Metrics

Every one of the 33 HealthKit types your Apple Watch captured, listed with record counts and date ranges. Click any one to chart its full history with zoom controls.

A look around

Every view, captured live.

Fresh screenshots from the current build. Click any image to open it full-size.

Cardiac page
Cardiac Resting HR, HRV, SpO₂, respiratory rate, walking HR, high-HR events — full history.
Sleep & Recovery page
Sleep & Recovery Apple-style Sleep Score with per-night navigator, sleep stages, wrist temp, readiness.
Activity page
Activity Daily steps, distance, active & basal energy, exercise minutes, stand hours, rings.
Long-term Trends page
Long-term Trends Weekly resting HR, weekly HRV, walking speed, body mass, flights climbed.
Environment page
Environment Environmental audio exposure, headphone audio levels, time in daylight.
ECG Viewer page
ECG Viewer Every electrocardiogram with Apple's classification — one click to a clinical PDF print.
All Metrics page
All Metrics Every HealthKit type captured, with record counts and date ranges. Click to chart any one.
Ask page
Ask Natural-language chat over your data. Run on OpenAI in the cloud — or fully local via Ollama.
Settings page
Settings Manage imports, language-model provider, debug logs. Everything stays on your machine.
A doctor's hands holding a notepad and pen — taking notes from a printed report.
Built for the doctor handoff

Walk into your next appointment with the answer already in hand.

One click generates a paginated, branded PDF covering every dashboard page — Overview through ECGs — at clinical fidelity.

The report ships with a cover page carrying your demographics, data window, and coverage stats. Every chart prints in a print-quality light theme. Every page carries a footer with page numbers, the generation date, and the "educational use only" disclaimer. Or export individual ECGs as standalone landscape prints, formatted exactly like the strips a cardiologist already knows how to read.

What ships with every PDF report

  • Cover page with patient demographics, data window, and record counts
  • Every chart in print-quality light theme
  • Pink-to-purple section header on every page for visual scan
  • Page numbers, generation date, and disclaimer on every footer
  • Per-ECG strips on pink clinical grid paper, 25 mm/s × 10 mm/mV
  • 1 mV calibration pulse drawn at the start of each ECG
  • Heart rate computed from R-peak detection on each waveform
  • Bulk CSV export — one file per HealthKit type — for raw analysis
A clinician at a screen — your full dashboard, on their machine.
Bring the entire app with you

Hand your doctor the whole dashboard — not just a PDF.

A PDF answers a single question. The full app answers every question — every chart, every drill-down, every ECG strip.

One click writes your entire database into a single HealthBackup.zip. Email it, AirDrop it, or walk in with a USB stick. Your physician installs Health Dashboard on the clinic's machine, picks Restore from backup, and your dashboard comes up exactly the way it does on your Mac — same charts, same ECGs, same ask-anything sidebar. No portal. No upload. No account.

How the handoff works

  • Settings → Backup → Create backup writes one portable .zip
  • Snapshot is taken with SQLite's online-backup API — consistent even mid-write
  • Archive holds your complete record set, every ECG waveform, every saved chat
  • Doctor installs Health Dashboard on the clinic machine
  • They pick Restore from backup and the app reloads with your data
  • Archive is validated against the app's schema before anything is touched
  • Wrong-app or corrupt zips are refused — live data is never put at risk
Single-lead ECG viewer + print

Every ECG. Every detail. Print-ready.

Your Apple Watch ECGs sit invisibly inside the export. The viewer lays them out in chronological order with Apple's classification (Sinus Rhythm, AFib, High HR, Low HR) and any symptoms you logged at capture.

One click generates a single-page landscape PDF that looks like the strips a cardiologist already reads every day — three 10-second strips on pink graph paper, a calibration pulse, and computed heart rate. Hand it to your doctor; they'll know exactly what they're looking at.

Ask anything

Natural language. Real SQL. Local model optional.

Ask plain-English questions and get plain-English answers backed by actual queries against your database. "How many days in the past 30 has my heart rate exceeded 100 BPM and give me a count per day."

Use OpenAI's API if you want the strongest model, or run everything fully locally with Ollama — no data ever leaves your Mac in that mode. Conversations are persistent and switchable, exactly like ChatGPT's sidebar.

Privacy by design

Your health data never leaves your Mac.

Health Dashboard is a desktop app, not a service. There's no account, no telemetry, no upload, no analytics. Your data lives in a single SQLite file in your user Application Support directory and is read by code you can audit.

No accounts

No sign-up, no login, no email collection. Install and use.

No cloud sync

The database is a local SQLite file. Nothing is replicated anywhere.

No telemetry

The app makes zero outbound network calls except to your chosen LLM provider — and only when you click Ask.

Local LLM option

Run Ask against a local Ollama model and even your questions stay on your Mac.

Purge any time

One button in Settings wipes the database, log, and every preference instantly.

Signed & notarized

The app is Apple-signed and notarized — Gatekeeper validates the binary you launch is unmodified.

A Mac on a desk — local, private, yours.
Built for trust

Privacy with a paper trail.

The section above is what we don't do. This is what we engineered into the app so you can prove it — to yourself, to a physician, to a security review.

  • Informed-consent prompt before any cloud send. Pick OpenAI or an Ollama -cloud model and we tell you what leaves the Mac — your question, the SQL we run, the rows it returns. The "don't ask again" checkbox is opt-in, not pre-checked.
  • Forensic audit log. Every IPC call, every error, every cloud-data acknowledgement is timestamped in llm.log. Settings → App log → Open in Finder. Caps at 2 MB so it can't grow unbounded.
  • Headless local LLM that cleans up after itself. Choose Ollama and we spawn the daemon for you on app launch, track its PID, and SIGTERM it on quit. No orphaned background processes; no menu-bar icon to forget.
  • Single-file portable backup. Hand your physician a HealthBackup.zip and the entire dashboard reproduces on their clinic Mac. No portal, no upload, no SaaS account.
  • Apple-signed and notarized. Gatekeeper verifies on every launch that the binary hasn't been modified since it left the build server.
Get it

Download Health Dashboard

Universal Mac builds, signed by Developer ID Application: David Soden and notarized by Apple. Gatekeeper accepts both on first launch.

Apple Silicon (arm64) Intel (x64)

Not sure which? Apple menu → About This Mac. "Apple M1/M2/M3/M4" → arm64. "Intel Core" → x64.
Latest version: v0.7.1

FAQ

Common questions

How do I get the Apple Health export?

On your iPhone: Health app → profile photo (top right) → Export All Health Data. You'll get a zip — unzip it, point Health Dashboard at the folder, done. Short walk-throughs: exporting from iOS and first-time import.

How big is the import?

Highly variable. A year of typical Apple Watch use produces ~300,000 records and an XML around 150 MB. The full ingest finishes in about 5 seconds on a modern Mac and the resulting SQLite database is around 60 MB.

Do I need an OpenAI account?

No. The Ask feature is optional. Without it the dashboards still work fully. If you want Q&A, you can either use OpenAI's API (paste a key in Settings) or run a local model via Ollama — in which case nothing leaves your Mac.

Can the app modify my Apple Health data?

No. It reads the export file you provided and never connects to Apple Health, iCloud, or your iPhone. The database it builds is a local SQLite copy.

What if my Apple Health profile (birthday, etc.) is wrong?

Fix it on your iPhone first: Health app → profile → edit. Then re-export and re-import in the app. The dashboard reflects whatever your Apple Health profile says, verbatim. Walk-through: updating with a new export.

Is this a medical device?

No. This is an educational tool. Every chart and PDF carries a clear disclaimer. If anything in your data concerns you, see a physician — and bring the PDF.

Will it work on Windows or Linux?

Not yet. The current build is macOS-only — Apple Silicon and Intel. The codebase is Electron + React + SQLite, so a Windows/Linux port is feasible but not on the roadmap right now.