Open Wearables
Terra - Connect Widget
Validic
Sahha
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
Open Wearables is a self-hosted platform that provides unified API access to data from major wearable devices and fitness platforms. It handles OAuth authentication, data normalization, and syncing, eliminating the need to integrate each platform separately.
Why Open Wearables? Building health apps with wearable data shouldn't take months. Open Wearables eliminates the integration nightmare by providing:
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Open Wearables's answer
Open Wearables is the only open-source, self-hosted API platform for wearable health data. Unlike proprietary SaaS solutions, developers get full source code access, deploy on their own infrastructure, and avoid vendor lock-in. Built by healthcare AI experts with ISO 13485 certification, it provides AI-ready data schemas and built-in compliance features that generic platforms lack.
Open Wearables's answer
No per-user pricing that eats into your margins. Full data ownership and control. Deploy in weeks instead of months compared to building in-house. Unlike Terra, Junction, or Spike, you're not locked into a vendor's roadmap or pricing changes. Open source means community contributions, transparency for security audits, and the ability to customize for your specific use case.
Open Wearables's answer
B2B developer teams at HealthTech startups or scaleups, fitness apps, and longevity platforms who need wearable data integration. Primary decision makers are CTOs evaluating build vs buy, product teams needing faster time-to-market, and technical founders without deep health data expertise.
Open Wearables's answer
Momentum's 120+ healthcare AI developers kept encountering the same problem across client projects - every company needed wearable integrations, but each device had different APIs, data formats, and OAuth flows. Clients were spending weeks on basic integration before they could focus on their core product. We built Open Wearables to solve this recurring challenge and open-sourced it to help the entire developer community.
Open Wearables's answer
PostgreSQL and TimescaleDB for time-series health data storage, FastAPI for developer-friendly REST endpoints, Docker for containerized deployment. OAuth 2.0 for secure user authorization across all supported platforms.
Open Wearables's answer
Currently in MVP launch phase (December 2025) with early adopters in private beta. Momentum's existing healthcare AI clients transitioning to unified platform Active discussions with longevity platforms, fitness apps, and clinical trial companies. Growing developer community on GitHub with 200+ early registrations.
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Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
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Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
Terra - Connect Widget - Terraโs widget makes it easy to connect your app to all wearables.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Validic - Validic offers a mobile health API connection that enables healthcare companies to access data from mHealth apps and devices.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Sahha - Connect to 200+ Wearables & Health Data Sources with One API
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
