Open Wearables

Open Wearables: The Comprehensive Health Intelligence Platform

In the rapidly evolving landscape of digital health, the challenge has shifted from simply collecting data to generating meaningful insights. Open Wearables is an open-source, self-hosted health intelligence platform designed to bridge this gap. By turning raw wearable data into actionable health scores and AI recommendations, Open Wearables allows developers and enterprises to ship health features in days rather than months.

Built on the principle of "health intelligence, not just health data," the platform provides a production-ready infrastructure with zero per-user fees, making it the premier choice for teams building fitness, longevity, and clinical applications.

What's Open Wearables?

Open Wearables is an end-to-end platform that handles everything between a wearable device and an intelligent health recommendation. It is an MIT-licensed solution that provides a unified API for data ingestion, customizable health scoring, and an AI reasoning engine. Unlike traditional SaaS APIs that lock your data behind proprietary walls and expensive per-user subscriptions, Open Wearables is self-hosted on your infrastructure, ensuring full data sovereignty and HIPAA-ready compliance.

Whether you are building a personal health dashboard or a large-scale corporate wellness program, Open Wearables provides the tools to ingest, normalize, and reason about wearable data at scale.

Key Features of the Open Wearables Platform

Open Wearables is built on four core pillars that provide a complete stack for health intelligence.

1. Unified Wearable Data API

Integrating multiple wearable brands can be a technical nightmare. Open Wearables simplifies this with a single, unified API. It handles data ingestion, normalization, and deduplication across a vast range of devices including:

• Garmin, Whoop, and Oura Ring
• Apple Health and Samsung Health
• Strava, Polar, Suunto, and Ultrahuman
• Google Health Connect
• Coming soon: Fitbit, Coros, and Xiaomi

2. Open Health Scoring Algorithms

Most wearable companies use "black box" algorithms to calculate metrics like stress or recovery. Open Wearables changes this by offering Open Algorithms. You can audit every line of code for metrics such as:

• Sleep quality and Recovery
• Strain and Stress levels
• HRV Index (Heart Rate Variability)
• VO2 Max and RHR Trends (Resting Heart Rate)
• Energy Scores

Because the algorithms are open, you can fork them and tune thresholds to suit your specific user population.

3. Health AI Engine

The Health AI Engine is designed for reasoning, not just reading. While raw Large Language Models (LLMs) might simply parrot numbers back to a user, the Open Wearables engine detects trends, flags anomalies, and connects patterns across different scores. It includes an MCP server for any LLM, providing a structured health reasoning framework that delivers recommendations similar to those a professional coach would provide.

4. Configurable Coaching Profiles

Define how the AI engine reasons for your specific use case. You can build domain-specific profiles for wellness, athletic performance, or clinical monitoring. This ensures that while the data and scores remain consistent, the logic applied to them is tailored to your business needs.

Use Cases for Open Wearables

AI Coaching and Personal Guidance

Build apps that offer personalized guidance across fitness, recovery, mental health, and nutrition. With open scoring, you have full control over the reasoning, ensuring your users receive accurate, science-backed advice without per-user fee scaling issues.

Longevity and Health Optimization

For platforms focusing on aging biomarkers and supplement tracking, Open Wearables allows you to build protocols backed by real-time wearable data. Track long-term health trends and help users optimize their lifestyle for longevity.

Corporate Wellness

Organizations can monitor sleep scores, stress, and recovery across an entire workforce. Because Open Wearables is self-hosted, sensitive employee data never leaves your premises, maintaining strict adherence to internal data policies.

Clinical Monitoring

Clinical teams require transparency. With Open Wearables, algorithms can be verified by medical professionals. The HIPAA-ready architecture, featuring encryption and audit logging, ensures patient data remains secure and private.

Enterprise Support and Deployment

For large-scale operations, Open Wearables offers Enterprise Support. This includes custom deployment on your infrastructure, SLA-backed support, and dedicated onboarding to help your team ship faster without managing the underlying stack from scratch.

How to Use Open Wearables

Getting started with Open Wearables is designed to be seamless for developers. You can go from a fresh setup to your first API call in as little as five minutes.

For Developers (Self-Hosted)

1. Clone the Repository: Access the full source code under the MIT license.
2. Deploy via Docker: Run the following command to start the environment:

   $ docker compose up

3. Integrate: Use the unified API to connect your preferred wearables (e.g., Garmin, Oura, Apple Health).
4. Audit and Customize: Review the open algorithms and adjust the health scoring thresholds for your users.

For Companies (Enterprise)

For organizations requiring more than the community version, the enterprise path provides:

• HIPAA-eligible infrastructure setup
• BAA (Business Associate Agreement) availability
• Custom integrations and AI layers
• Dedicated support from core maintainers

Comparison: Open Wearables vs. SaaS APIs

| Aspect | SaaS APIs | Open Wearables | | :--- | :--- | :--- | | Per-user cost | $0.50 - $2.00/mo | $0 | | Health Scores | Black box (0-5) | Open algorithms | | AI Reasoning | Limited / Varies | MCP + Reasoning tools | | Self-hosted | No | Yes | | Source Code | Proprietary | MIT License | | Time to Customize | Weeks/Never | Hours | | First API Call | Hours | 5 Minutes |

FAQ

Q: Is Open Wearables really free for unlimited users? A: Yes. Under the MIT license, there are zero per-user fees. You only pay for your own hosting infrastructure.

Q: Which devices are currently supported? A: We support Garmin, Whoop, Oura, Apple Health, Strava, Polar, Suunto, Samsung Health, Google Health Connect, and Ultrahuman. Fitbit, Coros, and Xiaomi integrations are coming soon.

Q: How does the AI Engine differ from a standard GPT wrapper? A: Most LLMs just read data. The Open Wearables Health AI Engine detects patterns (e.g., "Strain exceeded capacity 3 of last 5 days") and connects cross-score data to provide context-aware recommendations and trend detection.

Q: Can I use this for clinical applications? A: Absolutely. The architecture is HIPAA-ready, featuring encryption and audit logging. Because it is self-hosted, patient data never leaves your controlled environment.

Q: Who maintains Open Wearables? A: The platform is maintained by a team of experts including engineering directors, backend engineers specializing in FastAPI, ML leads, and Neuroscience PhDs to ensure all algorithms are science-backed.