Open Wearables
by Open Wearables · Self-hosted, open-source wearable data and health scoring platform
BenchRank score
Screenshots of Open Wearables
Homepage
Overview
Open Wearables is an MIT-licensed platform that ingests wearable data through one self-hosted API, normalised and deduplicated across providers such as Whoop, Garmin, Oura and Apple Health. It computes open health scores including Sleep and Resilience, and adds an AI engine for trends and anomalies, an MCP server, and configurable coaching profiles.
- Best for
- Teams building health products that want self-hosted wearable data and open scoring algorithms
- Pricing
- The self-hosted open-source edition is free under MIT; Enterprise is custom-priced and no figures are shown.
- Runs on
- Self-hosted
Strengths and trade-offs
Strengths
- MIT licensed and self-hosted on your own infrastructure
- One API for Whoop, Garmin, Oura, Apple Health and more
- Scoring algorithms are open and thresholds are tunable
- MCP server exposes its reasoning tools to any LLM
Trade-offs
- Enterprise pricing is not published; you have to book a demo
- You run, deploy and maintain the infrastructure yourself
- Free tier covers only basic sleep and resilience scoring
- Fitbit, Coros and Xiaomi are listed as not yet available
How Open Wearables markets itself
A structured read of the promise, proof and page design on Open Wearables’s captured homepage.
Homepage capture
“Health intelligence, not just health data.”
- Angle: Open source / ownership
- Hero: Typography only
Pricing
Published plans and prices from Open Wearables’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
This doesn’t look right — report a problem with Open Wearables’s score
Where this comes from
The Open Wearables pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
Alternatives in Data Pipelines & ETL
Ranked 1
83.1 — BenchRank score out of 100CloudQuery
CloudQuery · Multi-cloud asset inventory with SQL policies and automation
Best for: Platform, security and FinOps teams that need a queryable inventory of a multi-cloud estate.
Ranked 2
76.3 — BenchRank score out of 100OpenSERP
OpenSERP · Open-source SERP API with an optional managed cloud
Best for: Developers and SEO teams needing programmatic multi-engine search data for AI grounding or rank tracking
Ranked 3
74.6 — BenchRank score out of 100Fivetran
Fivetran · Managed data movement into warehouses, lakes and applications
Best for: Data teams centralising SaaS, database and file data into a warehouse or lake without building pipelines.
Is this your product?
Claim Open Wearables to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.