Open Wearables

Open infrastructure for wearable-powered health products.

1.4K followers

Open infrastructure for wearable-powered health products.

1.4K followers

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Unified API

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AI Infrastructure Tools

Build personalized health products with one API for every wearable. Access wearable data, open health scoring algorithms, and structured context your AI can reason with. Self-hosted, open-source, MIT licensed.

The Best Open Wearables Alternatives

The best Open Wearables alternatives are Terra, ROOK - An API for Wearable Health Data, Sahha, Metriport, and Tunum.

Terra

5.0 ·

Choose Terra if...

✓you want a fully managed health-data API
✓you need broad wearable coverage fast
✓you want built-in health graphs via Graph API

See details ↓

ROOK - An API for Wearable Health Data

5.0 ·

Choose ROOK - An API for Wearable Health Data if...

✓you want an SDK-first wearable integration
✓you care about high-quality normalized activity data
✓you want vendor help with data best practices

See details ↓

Sahha

Choose Sahha if...

✓you want insights and triggers, not raw data
✓you need CRM-ready webhooks for personalization
✓you lack a data science team internally

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Metriport

5.0 ·

Choose Metriport if...

✓you need EHR and medical records aggregation
✓you’re building pre-appointment intake workflows
✓you want a hands-on, tailored implementation partner

See details ↓

Tunum

Choose Tunum if...

✓you want an on-device, privacy-first iOS app
✓you need Apple Watch, Oura, and Garmin together
✓you want daily summaries with an AI coach

See details ↓

What to Consider

Open Wearables stands out for teams that want a self-hosted, open-source way to normalize wearable data and keep scoring and algorithms auditable. The alternatives span very different philosophies: managed “single-source” APIs like Terra and ROOK optimize for fast integrations, broad device coverage, and developer-friendly tooling, while Sahha pushes further up the stack into insights and activation (trends, comparisons, triggers) that plug into engagement tooling without needing a data science team. On the other end, Metriport targets a clinical/EHR aggregation workflow rather than wearables-first data, and Tunum is a consumer, on-device privacy-first app—useful context if your goal is end-user experience over a developer platform.

In evaluating these options, we focused on integration speed and SDK/API experience, breadth of wearable and data-source coverage, the tradeoff between managed convenience vs self-hosting and auditability, reliability and support signals, and whether the product is optimized for raw data access, UI/visualization accelerators, or downstream activation in CRM/CXP workflows.

Terra

API for apps to connect to health data

5.0 · 9 reviews

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Terra is built for teams that want wearable connectivity without running their own health-data infrastructure. Instead of emphasizing self-hosting and open scoring like Open Wearables, it focuses on being a managed “single source” API that consolidates data access behind a dev-friendly platform.

A major reason to pick Terra is speed: it’s designed to help teams ship multi-wearable integrations quickly, especially when end users show up with a mix of devices. That “any wearable” feel can reduce the need to prioritize one ecosystem at a time and lets product teams support more users earlier.

Terra also leans into developer experience with strong documentation and practical tooling. For teams building user-facing health experiences, its Graph API can accelerate front-end work by making it easier to embed ready-to-use health visualizations rather than assembling charts and derived metrics from scratch.

This makes Terra a strong alternative when the goal is broad coverage, fast implementation, and a hosted setup, even if that means trading away some of the auditability and self-host control that defines Open Wearables.

Best for

Best for app teams that want fast, managed wearable data connectivity across many devices.

Standout features

✓Managed health-data API
✓Broad wearable provider coverage
✓Graph API for embedded health visuals
✓Developer-friendly docs and platform
✓Quick multi-wearable integration

ROOK - An API for Wearable Health Data

A wearable API that empowers apps with actionable insights.

5.0 · 3 reviews

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ROOK is a practical option when an SDK-first approach matters more than owning the full pipeline. Compared with Open Wearables’ self-hosted, open-stack posture, ROOK emphasizes a smoother integration path for mobile teams that want wearable and activity tracking running quickly.

It stands out for turning wearable connectivity into a productized API and SDK experience that’s straightforward to drop into an app. That can reduce engineering overhead for authentication flows, provider quirks, and ongoing maintenance—especially valuable for small teams.

Another differentiator is its focus on the quality and usability of the data coming through the platform. Rather than only acting as a connector, ROOK aims to deliver data that’s ready to surface in product experiences, which can shorten the path from “we have data” to “we can use it.”

ROOK is also a good fit when the team wants guidance on how to present and activate wearable insights inside the user journey. That level of vendor support and best-practice coaching can be a meaningful advantage over a more build-it-yourself approach.

Best for

Ideal for mobile-first teams that want an SDK-driven wearable integration with strong data usability.

Standout features

✓SDK-first wearable integration
✓API for activity and wearable data
✓Emphasis on data quality and consistency
✓Implementation guidance and best practices
✓Quick path from data to product UX

Sahha

Hyper-personalize UX using user health & lifestyle data

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Sahha focuses less on raw wearable plumbing and more on turning behavior signals into product actions. Where Open Wearables is strongest as open infrastructure for collecting and standardizing wearable data, Sahha positions itself as an insights and activation layer that delivers trends, comparisons, and triggers.

The product is compelling for teams that want “trigger-ready” moments—like a sleep drop, a recovery change, or a consistency improvement—to automatically drive nudges, rewards, or coaching flows. That shifts effort away from building analytics pipelines and toward designing the engagement experience.

Sahha also targets teams without dedicated data science resources by handling the modeling and delivering insights in an application-friendly format. If the goal is to operationalize wellbeing signals across lifecycle marketing and in-app personalization, this can be faster than assembling the same capability on top of a lower-level wearable API.

Integration is designed to fit modern growth stacks, with delivery via API or webhooks and connections into common CRM/CXP workflows. Choose Sahha when the business value is in personalization outcomes, not in owning every step of data normalization and scoring.

Best for

Best for product and growth teams that want actionable wellbeing triggers for personalization.

Standout features

✓Prebuilt wellbeing insights and trends
✓Benchmarking vs self and cohorts
✓Trigger-based activation workflows
✓API and webhook delivery options
✓Designed for CRM and CXP integrations

Metriport

Open-Source Universal API for Healthcare Data

5.0 · 2 reviews

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Metriport is oriented around clinical data aggregation rather than wearables-first normalization. While Open Wearables is a fit for consumer health apps unifying wearable streams, Metriport is built for pulling comprehensive medical records to support healthcare workflows.

It’s especially useful for pre-appointment experiences where having records in hand improves intake, care coordination, and patient preparation. That makes it a different kind of “health data API” alternative—less about steps and sleep, more about longitudinal clinical history.

Metriport also differentiates through a partner-style implementation approach, with an emphasis on moving quickly and tailoring the solution to specific needs. For teams navigating healthcare requirements and operational complexity, that responsiveness can matter as much as the API itself.

Pick Metriport when the product roadmap centers on EHR connectivity and clinical record consolidation, and when a service-forward vendor relationship is preferable to running a self-hosted wearable stack.

Best for

Ideal for healthcare teams building workflows around EHR and medical-record consolidation.

Standout features

✓EHR and medical records aggregation
✓Pre-visit intake and record retrieval
✓Vendor tailoring to specific workflows
✓Implementation support and responsiveness
✓Healthcare-focused data infrastructure

Tunum

Your personal, privacy-first health AI

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Tunum takes a consumer-first, local-first approach where privacy is the product. Instead of serving developers with a company-run data pipeline like Open Wearables, Tunum is an end-user iOS app that keeps health data on the phone and avoids collecting, sharing, or selling it.

It’s a strong alternative when the goal is to give individuals a single place to view and understand data from multiple sources such as Apple Watch, Oura, and Garmin. That consolidation can provide immediate value without requiring any backend, data warehouse, or engineering work.

Tunum also pairs summaries with AI coaching, aiming to translate metrics into daily guidance. For users who want interpretation and next-step suggestions rather than raw exports and dashboards, this product direction is fundamentally different from an infrastructure toolkit.

Choose Tunum when the priority is a private personal experience and on-device analysis, particularly for iOS users who want unified tracking and coaching without handing data to a server.