Insights

Open Wearables 0.2: Workout, Sleep, and Timeseries Support Now Live

Author
Bartosz Michalak
Published
December 22, 2025
Last update
December 22, 2025

Table of Contents

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Key Takeaways

  1. Open Wearables 0.2 introduces three core endpoints - Timeseries (59 data types), Workouts, and Sleep - making the platform ready for building real health applications instead of just proof-of-concept demos.
  2. Production-ready reliability with 870 tests achieving 80% code coverage across 5,129 lines of working code, ensuring the API works consistently for development teams building on the platform.
  3. Open Wearables transitions from basic infrastructure to a platform developers can actually build health applications on.

Is Your HealthTech Product Built for Success in Digital Health?

Download the Playbook

Momentum has just launched Version 0.2, introducing the core functionality developers need to build health applications: Timeseries (59 different data types), Workouts, and Sleep endpoints. This release moves the platform from proof-of-concept to working infrastructure that can power real health applications.

What is Open Wearables

Open Wearables is our open-source platform that democratizes access to wearable health data by unifying multiple device APIs through a single interface. Built by Momentum's healthcare development team after integrating wearables for dozens of clients, it solves a recurring problem: developers either spend months building custom integrations or pay expensive SaaS platforms that create vendor lock-in.

Our self-hosted approach gives you complete control over user data while providing clean, normalized health metrics ready for analytics and machine learning. Beyond data aggregation, the platform includes AI-powered insights infrastructure, with our roadmap focused on expanding device integrations and community-driven improvements.

What You Can Build Now

The Timeseries endpoint handles everything from heart rate variability to blood oxygen. The complete list of 59 data types is available in our documentation, and you can seed realistic data using make init to start building against actual health data patterns.

Workouts cover duration, calories, and GPS tracks, plus detailed metrics like cadence and power zones that fitness applications require.

Sleep provides the full breakdown: REM cycles, sleep efficiency, time in bed versus actual sleep time. The data structure matches what Apple Health and Garmin export, eliminating conversion work.

Production-Ready Testing

870 tests with 80% code coverage ensure the API works consistently across all endpoints. The test suite covers 5,129 lines of working code and runs in 26 seconds, making it practical for development workflows.

AI Agent Configuration

We've added universal configuration rules for AI coding agents (Claude, Cursor, etc.) so external contributors can implement features that follow our established patterns. This maintains codebase consistency as the project scales.

Getting Started

Open Wearables 0.2 is ready for development teams to build prototypes, create demos, and develop production health applications.

The platform includes everything you need to start building: working endpoints, comprehensive API documentation, and developer tools for rapid integration.

Here's how to get started:

  • Clone the GitHub repository and run make init to populate your local instance with sample health data across all supported data types.
  • Complete API references, integration guides, and code examples are available at docs.openwearables.io.
  • Visit our dedicated Open Wearables page  for project overview, use cases, and implementation examples.

Within minutes, you'll have a working API serving normalized health data from all three endpoints, ready for integration into your health application.

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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.

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