Insights

Introducing Open Wearables: The Open-Source API for Wearable Data Integration

Minimal line illustration of a smartwatch with a heartbeat waveform passing through it, symbolizing unified wearable data flowing into one system
Author
Bartosz Michalak
Published
December 5, 2025
Last update
February 24, 2026
Minimal line illustration of a smartwatch with a heartbeat waveform passing through it, symbolizing unified wearable data flowing into one system

Table of Contents

EXCLUSIVE LAUNCH
AI Implementation in Healthcare Masterclass
Start the course

Key Takeaways

  1. Open Wearables eliminates months of wearable integration work by providing one unified API for major wearable platforms: Apple Health, Garmin, Whoop, Polar, Suunto, and Samsung Health Connect through standardized endpoints.
  2. Built for health app development, the platform handles complex OAuth flows, data normalization, and real-time syncing so developers can focus on building features instead of wrestling with multiple SDKs.
  3. Unlike expensive SaaS platforms creating vendor lock-in, Open Wearables is completely open-source and self-hosted, giving you full control over sensitive health monitoring data.
  4. The platform includes AI-ready data schemas, an MCP Server for Claude and ChatGPT integration, and multi-vendor support, enabling intelligent health coaching that understands recovery patterns and adapts recommendations in real-time.
  5. Developers can now build personalized wellness experiences in days instead of months, with complete access to unified wearable data that tells the full story of user health.

Is Your HealthTech Product Built for Success in Digital Health?

Download the Playbook

Most health apps today only see part of the user's story. They track steps or display heart rate charts from a Garmin or Apple Watch, but they miss the bigger picture. Your app might know someone exercised yesterday, but not whether they recovered properly according to their Oura Ring sleep data, or if their Whoop recovery score suggests they're ready for another intense workout.

At Momentum, we've spent years building digital health platforms across wellness, fitness, longevity, and clinical care. Again and again, we saw the same problem: wearable integration and building intelligent, personalized health recommendations is still too complex.That's why we're introducing Open Wearables, an open-source platform that transforms fragmented device data into unified, AI-ready health intelligence through seamless wearable API integration.

Open Wearables is built for startups and scale-ups developing health, fitness, coaching, longevity, and corporate wellness applications. If your product needs wearable data from multiple providers and you want to avoid per-user SaaS fees, this is your foundation.

{{lead-magnet}}

Why Wearables Integration Is Hard

Each wearable device speaks a different language. To access data from major platforms and devices, you need to integrate multiple SDKs, handle different OAuth flows, and clean up messy formats. Just to start building.

Even then, the wearable data integration doesn't sync. You can't combine heart rate from one device with recovery from another. Your health app may work well on its own, but it stays blind to contextual wearable devices data like sleep quality, recovery status, HRV trends, and daily readiness.

This fragmentation forces developers into an impossible choice: support one wearable device and limit your market, spend months wrestling with wearable integration complexity instead of building health innovations, or pay expensive SaaS platforms that aggregate data but lock you into another vendor dependency.

None of these options serve healthcare innovation. The first limits your reach. The second wastes development resources. The third creates new dependencies while sacrificing control over your users' sensitive health monitoring data.

Funnel diagram illustrating how API integration, data normalization, and AI-ready endpoints convert raw wearable signals into structured health intelligence.

What Open Wearables Does

Open Wearables is an open-source infrastructure that accelerates personal health app development through one single API. No vendor lock-in. No expensive SaaS for data aggregation. No complex SDKs. Just clean, AI-ready health monitoring data hosted by you.

In just five lines of code, you unlock:

  • A single API for Apple Health, Samsung Health Connect, Garmin, Polar, Suunto, and Whoop with Oura, Fitbit, and Google Fit coming next
  • Fully normalized and deduplicated wearable data with consistent timestamps
  • OAuth flows handled out of the box
  • Ready-to-use schemas for activity, sleep, biometrics, and recovery
  • Self-hosted infrastructure for full control and compliance
  • AI-ready endpoints for powering insights, scores, or chatbots
  • MCP Server connecting wearable data to Claude, ChatGPT, and other AI assistants
  • Flutter Health SDK for native Apple Health and Samsung Health integration with background sync

Build personalized recovery scores, sleep coaching, or biomarker dashboards without months of SDK work.

What You Can Build

Once you have unified wearable data integration, entirely new possibilities emerge. Fitness platforms can finally deliver coaching that adapts to actual recovery state, not generic training plans. A runner's health app can automatically reduce intensity when HRV drops, or suggest rest days based on poor sleep quality data.

Corporate wellness programs can track meaningful health monitoring trends across their entire workforce, regardless of wearable device preference. Instead of forcing employees onto one wearable brand, companies can support major smartwatch brands, fitness trackers, and specialty devices while still getting standardized analytics.

Longevity platforms can create truly personalized health journeys that track biological age patterns across multiple biomarkers. By combining sleep data from fitness rings, activity from smartwatches, and daily metrics from smartphone health apps, these platforms can reveal insights impossible to see from any single wearable device.

The key difference is context. Open Wearables transforms isolated data points into complete health stories that AI can actually understand and act upon.

With the MCP Server (shipped in v0.3), you can connect wearable data directly to AI assistants like Claude or ChatGPT. Users can use natural-language questions about their health data like: "How was my sleep this week?" or "What's my HRV trend?" -- and get answers grounded in their actual data. This turns raw wearable data into conversational health intelligence without building custom NLP pipelines.

Explore 8 real-world wearable data integration use cases to see how teams across fitness, healthcare, research, and enterprise are using it today.

Diagram showing the stages of achieving personalized health intelligence: wearable integration, data normalization, AI-ready endpoints, and personalized health applications.

The Vision Behind Open Wearables

We are building the open foundation for personalized health intelligence, where any app, coach, or health platform can instantly become data-driven, AI-enabled, and connected to the devices users already love.

Just open, standardized, developer-friendly health data ready to power your next product launch. So your product can see the full picture of your user's health, not just a slice.

This vision reflects our broader philosophy at Momentum: healthcare technology should be transparent, interoperable, and focused on patient outcomes rather than vendor profits. We believe wearable data should accelerate health innovation, not create new barriers.

{{lead-magnet-2}}

Get Started

Whether you're building personalized wellness apps, clinical decision support tools, or AI-powered health coaching platforms, Open Wearables is production-ready and completely open-source.

Here's how to get started:

  • Explore the platform at github.com/the-momentum/open-wearables with complete documentation and deployment guides
  • Deploy in minutes using "docker compose up" on your existing infrastructure
  • Connect the first wearable with our step-by-step wearable integration examples
  • Build intelligent features using our extensive wearable API integration library for complete user health contexts
  • Read the docs at docs.openwearables.io for API reference, quickstart, and provider setup guides
  • Read Open Wearables FAQ

As an active open-source project, new device integrations and platform features are continuously added by our growing developer community, ensuring the platform evolves with real-world needs.

Frequently Asked Questions

What is Open Wearables?

Open Wearables is an open-source wearable integration platform that unifies health monitoring data from major wearable providers through a single API. Currently supports Apple Health, Samsung Health Connect, Garmin, Polar, Suunto, and Whoop. As an alternative to expensive SaaS vendors, it eliminates weeks of wearable API integration work per device, allowing developers to build health apps with unified wearable data in days instead of months.

Which wearable devices does Open Wearables support?

Apple Health (via Flutter SDK), Samsung Health Connect, Garmin, Polar, Suunto, and Whoop are currently supported. Oura Ring, Fitbit, and Google Fit are planned for Q1 2026. The platform is actively developed by a growing community, with new device integrations and capabilities added regularly based on real developer needs.

How long does wearable integration take with Open Wearables?

Most developers complete initial wearable integration in days using Open Wearables, compared to weeks per device when building integrations from scratch for each wearable platform. The unified wearable API integration handles OAuth flows, data normalization, and syncing automatically.

Is Open Wearables HIPAA compliant for health monitoring?

Open Wearables provides a HIPAA-ready architecture for health monitoring data when deployed with proper infrastructure controls. The platform includes encryption at rest and in transit, audit logging, and access controls necessary for HIPAA compliance when building health apps for clinical use.

How is Open Wearables different from expensive SaaS platforms?

Open Wearables democratizes access to health data through key differences: Cost - completely free and open-source versus per-user subscription fees; Control - self-hosted with complete data ownership versus third-party dependency; Flexibility - fully customizable wearable integration versus platform limitations; Transparency - open codebase you can audit versus proprietary systems; Vendor Lock-in - none, migrate freely versus being tied to specific providers.

Does Open Wearables work with AI assistants like Claude or ChatGPT?
Yes. Open Wearables includes an MCP Server (Model Context Protocol) that connects wearable data to Claude, ChatGPT, and other MCP-compatible AI tools. Users can query their health data using natural language -- no custom NLP pipeline required. This enables conversational health experiences where AI assistants reason over actual wearable data, not generic wellness advice.

Written by Bartosz Michalak

Director of Engineering
He drives healthcare open-source development at the company, translating strategic vision into practical solutions. With hands-on experience in EHR integrations, FHIR standards, and wearable data ecosystems, he builds bridges between healthcare systems and emerging technologies.

See related articles

Planning a product that relies on wearable health intelligence?

Let's Create the Future of Health Together

If you’re evaluating how Apple Health, Garmin, Fitbit, Oura, and other sources could support your roadmap, we can help you reason through the technical trade-offs.

Looking for a partner who not only understands your challenges but anticipates your future needs? Get in touch, and let’s build something extraordinary in the world of digital health.

Newsletter

Curious how unified wearable intelligence could shape your product?

Open Wearables turns fragmented device signals into structured, AI-ready data that runs on your own infrastructure.

Get early access to Open Wearables

Want to see how a single API handles 200+ wearables?

Explore how Open Wearables normalizes activity, sleep, recovery, and biometrics into one consistent schema—with OAuth and deduplication built in.

Explore on GitHub
Bartosz Michalak

{
 "@context": "https://schema.org",
 "@type": "FAQPage",
 "mainEntity": [
   {
     "@type": "Question",
     "name": "What is Open Wearables?",
     "acceptedAnswer": {
       "@type": "Answer",
       "text": "Open Wearables is an open-source wearable integration platform that unifies health monitoring data from 200+ wearable devices through a single API. As an alternative to expensive SaaS vendors, it eliminates weeks of wearable API integration work per device, allowing developers to build health apps with unified wearable data in days instead of months."
     }
   },
   {
     "@type": "Question",
     "name": "Which wearable devices does Open Wearables support?",
     "acceptedAnswer": {
       "@type": "Answer",
       "text": "Open Wearables provides integration with Garmin, Polar, Suunto, and Apple Health, with additional major wearable platforms coming soon. The platform is actively developed by a growing community, with new device integrations and capabilities added regularly based on real developer needs."
     }
   },
   {
     "@type": "Question",
     "name": "How long does wearable integration take with Open Wearables?",
     "acceptedAnswer": {
       "@type": "Answer",
       "text": "Most developers complete initial wearable integration in days using Open Wearables, compared to weeks per device when building integrations from scratch for each wearable platform. The unified wearable API integration handles OAuth flows, data normalization, and syncing automatically."
     }
   },
   {
     "@type": "Question",
     "name": "Is Open Wearables HIPAA compliant for health monitoring?",
     "acceptedAnswer": {
       "@type": "Answer",
       "text": "Open Wearables provides a HIPAA-ready architecture for health monitoring data when deployed with proper infrastructure controls. The platform includes encryption at rest and in transit, audit logging, and access controls necessary for HIPAA compliance when building health apps for clinical use."
     }
   },
   {
     "@type": "Question",
     "name": "How is Open Wearables different from expensive SaaS platforms?",
     "acceptedAnswer": {
       "@type": "Answer",
       "text": "Open Wearables democratizes access to health data through key differences: Cost - completely free and open-source versus per-user subscription fees; Control - self-hosted with complete data ownership versus third-party dependency; Flexibility - fully customizable wearable integration versus platform limitations; Transparency - open codebase you can audit versus proprietary systems; Vendor Lock-in - none, migrate freely versus being tied to specific providers."
     }
   },
   {
     "@type": "Question",
     "name": "Does Open Wearables work with AI assistants like Claude or ChatGPT?",
     "acceptedAnswer": {
       "@type": "Answer",
       "text": "Yes. Open Wearables includes an MCP Server (Model Context Protocol) that connects wearable data to Claude, ChatGPT, and other MCP-compatible AI tools. Users can query their health data using natural language — no custom NLP pipeline required. This enables conversational health experiences where AI assistants reason over actual wearable data, not generic wellness advice."
     }
   }
 ]
}