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AutoSleep vs ottehr

Side-by-side comparison of features, pricing, ratings, and alternatives.

Heads up: AutoSleep and ottehr are in different categories and aren't listed as alternatives — this comparison may not be meaningful.
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AutoSleep
AutoSleepAutomatic sleep tracking for Apple Watch with no buttons to press and no subscription.
ottehr
ottehrModular, Production-Ready, Open-Source EHR
Overview
Description

AutoSleep is a sleep-tracking app for Apple Watch and iPhone that records sleep automatically in the background, without requiring the user to start or stop a session. It uses heart rate, motion, and (where available) blood oxygen and wrist temperature data to estimate sleep stages, sleep quality, and a running sleep debt total called the sleep bank. The app integrates with Apple Health and HomeKit, offers a smart alarm that wakes users during a lighter sleep phase, and includes an add-on companion app, AutoSnore, for snore detection. It is sold as a single one-time purchase on the App Store rather than a subscription, and processes data on-device rather than through a cloud account.

Ottehr is a modular, production-ready, open-source electronic health record (EHR) system designed for healthcare organizations. It provides a flexible and customizable platform for managing patient data, clinical workflows, and administrative tasks.

Pricing
Paid (One-time)
Free
Category
Sleep Tracking
Medical & Health Apps
Best for
Apple Watch owners who want automatic, detailed sleep tracking
Healthcare Organizations and Professionals
Specifications
deployment
Mobile App
Self-hosted
open source
No
Yes
api available
No
Yes
support options
In-app support and online user guide
GitHub Issues, Slack
key integrations
Apple Health, Apple HomeKit, AutoSnore companion app
—
github stars
—
321
primary language
—
TypeScript
Pros & Cons
Pros
  • One-time purchase price with no ongoing subscription fees
  • Fully automatic tracking that does not require remembering to start or stop a sleep session
  • Detailed metrics including sleep stages, SpO2, respiration rate, and wrist temperature on supported hardware
  • On-device processing with no account or login required for basic use
  • Highly customizable and adaptable to different clinical workflows and user roles
  • Scalable and secure, supporting large and complex healthcare organizations
  • Compliant with major healthcare standards and regulations
  • Open-source and community-driven, reducing costs and promoting collaboration
Cons
  • Requires an Apple Watch for automatic tracking; iPhone-only use is far more limited
  • Advanced metrics like SpO2 and respiration depend on specific newer Apple Watch models
  • Interface and terminology (sleep bank, sleep debt) have a learning curve for new users
  • Requires technical expertise for customization and integration
  • Limited commercial support options available
  • May require additional development and testing for specific use cases
Community & Metrics
Upvotes
0
0
User rating
Not enough data
Not enough data

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