A timeline for change
Keep symptoms, measurements, journal observations and life context in one chronological view so repeated changes are easier to discuss.
Understand the changing middle without surrendering your health history to a cloud account.







This website download is a separate direct-distribution build from the Mac App Store edition. It contains no StoreKit purchase flow or subscription screen: every feature is available after the one-time website purchase.
Apple notarized this exact disk image after an automated malware check. It is signed with the publisher's Developer ID and its notarization ticket is stapled to the download, so Gatekeeper can verify it even when your Mac is offline.
How signing, notarization and installation workb3e7dd228e68210aa40c08b0d456edd9f9f4861ecb1d13e190d2d50ced4879ffAurelia gives perimenopause and menopause observations a calm, consistent home. Record sleep changes, hot flashes, mood, energy and the context around them, then review the story as a timeline instead of trying to reconstruct it from memory during an appointment.
The trends view compares repeated signals over practical ranges while the appointments workspace keeps the date, provider, questions and follow-up notes together. It helps you arrive with a concise history and the questions you do not want to forget; it does not turn an app pattern into a medical conclusion.
The website edition is a separately signed and Apple-notarized build. Every feature is included after one purchase, with no subscription, trial timer, locked tier, StoreKit screen, advertising SDK or analytics SDK.
Keep symptoms, measurements, journal observations and life context in one chronological view so repeated changes are easier to discuss.
Review sleep, mood, energy and hormone-related observations across 7-day, 30-day, 90-day and all-time ranges without pretending unlike units share a clinical scale.
Store provider details, questions and notes together, then review the observations that matter before a care conversation.
Health records stay in the app's local container unless you explicitly export or share them. Backup, import and erase controls remain in your hands.
The Direct edition contains no subscription, trial, locked tier or App Store purchase flow and includes every feature from first launch.
Aurelia is a personal observation and organization tool, not a medical device. It does not diagnose, detect emergencies, interpret symptoms as a condition, or recommend starting, stopping or changing treatment. Seek qualified medical or emergency care when appropriate.
Aurelia is a native Mac app distributed as a complete, fully activated download. No subscription, no account, no locked features, no tracking.
Buy & downloadOne purchase through Stripe's hosted checkout — $10 for one app, or $20 for two different apps — and the complete app downloads straight away. Each download link works once and expires after a while.
A private midlife-health companion for recording symptoms, sleep, mood, energy and personal context, reviewing patterns over time, and preparing focused questions for care appointments.
Aurelia is for Mac users looking for health & wellbeing. Track midlife health changes privately, compare patterns, and prepare clearer questions for care visits.
Yes. Aurelia is a native Mac app and runs on macOS 15+.
No. The Mac App Store edition can include Apple's in-app subscription system. The website Direct edition is a separately signed build with no StoreKit purchase flow: one website purchase unlocks the complete app with no recurring charge.
The download is the complete app. There is no subscription, no locked tier, no account, and no trial timer — every feature is included.
One purchase — $10 for one app, or $20 for two different apps — through Stripe's hosted checkout on this page, and the download starts straight away. Each download link works once and expires after a while.
Yes. Version 1.0.0 is signed with a Developer ID certificate, notarized by Apple, and distributed with a stapled notarization ticket. Its published SHA-256 checksum is b3e7dd228e68210aa40c08b0d456edd9f9f4861ecb1d13e190d2d50ced4879ff.