Export, understand, and use your Apple Health data. Practical guides, worked examples, and a closer look at what the numbers mean.
6 min read
Trace missing health data from your Watch to Health, the receiving app, and its server. Check permissions, locked-device delays, and freshness in the right order.
· Updated 3 min read
Build a private Grafana dashboard for Apple Health with downloadable SQL and JSON, daily step provenance, workout records, and an honest freshness indicator.
· Updated 5 min read
Use Apple Health on your own terms: explore on your iPhone, export files, or sync to a hosted or self-hosted database. The app, server, and protocol are open source.
· Updated 5 min read
Turn Apple Health CSV exports into workout, sleep, and resting-heart-rate charts with a runnable Python example that preserves missing days.
· Updated 7 min read
Protect your Health history with iCloud settings, an encrypted computer backup, and an independent export—and verify the new phone before erasing the old one.
· Updated 6 min read
Make sense of a low Apple Watch cardio fitness estimate, a falling VO2 max trend, or missing readings with a practical check of workouts, inputs, and data quality.
· Updated 6 min read
Understand Core, Deep, REM, and Awake sleep, check the limits of Apple Watch estimates, and analyze your sleep history without double-counting it.
· Updated 7 min read
Compare native Apple Health connections, selected file uploads, and PulsHealth MCP, then ask questions you can check against the underlying records.
· Updated 6 min read
Different step totals often come from overlapping sources, day boundaries, or stale summaries. Here is how to find the cause without deleting useful history.
· Updated 7 min read
Choose between a local spreadsheet, a hosted dashboard, and a self-hosted viewer to use Apple Health data on a bigger screen.
· Updated 6 min read
Get Apple Health into a usable spreadsheet: export XML or CSV, choose daily totals instead of overlapping samples, and build your first chart.
· Updated 5 min read
Understand Apple Watch HRV, why SDNN values depend on measurement context, and how to examine your own trend without turning one reading into a diagnosis.
