SDK vs API in health tech: what’s the difference and when to use each
Understand the difference between SDKs and APIs in health tech and how each impacts integration, scalability, and development speed when working with wearable and health data.
Wearable SDK for healthcare app development
Learn how wearable SDKs simplify healthcare app development by enabling faster integrations, standardized data, and scalable infrastructure for building reliable, data-driven health products.
Case Study: How Physmodo is Transforming Movement Analysis with ROOK
Physmodo transforms movement analysis by integrating real-time wearable data with its AI-powered platform. Discover how ROOK’s unified API helped Physmodo simplify data integration and enhance user experience while improving movement assessments.
Case Study: How Novos Labs Enhances Longevity Insights with ROOK
Novos Labs enhances its longevity platform by integrating continuous wearable data with biological tests. Discover how ROOK helped enrich biological age tracking and provide more personalized insights to users.
Case Study: NASM and ROOK: Enhancing Digital Fitness Education
Discover how NASM is transforming digital fitness education by integrating wearable device data with ROOK, enhancing coaching tools, and offering more personalized experiences for trainers and clients.
Case Study: Gentherm Powers WellSense™ with ROOK
Discover how Gentherm uses ROOK to transform fragmented physiological data into personalized wellness and comfort experiences with their WellSense™ technology.
Case Study: Trainingym Enhances Fitness with ROOK’s Wearable Data Integration
Trainingym partnered with ROOK to integrate wearable data into its platform, enabling fitness centers to provide personalized and holistic fitness experiences. By streamlining data access through a single API, Trainingym improved member engagement, enhanced personalization, and reduced technical overhead, all while delivering deeper health insights.
Wearables for Predictive Insights
Discover how wearable data enables predictive insights by turning continuous health signals into actionable forecasts. Learn how companies use wearables to anticipate risks, optimize performance, and build proactive health experiences.
Wearable and Blood Test Data Integration: Building a Complete View of Health
Learn how integrating wearable data with blood test results enables a more complete view of health. Discover key use cases, technical challenges, and how combining continuous and clinical data drives better insights and decision-making.
Using Wearables for Menstrual Health Tracking
Learn how wearable technology supports menstrual health tracking through physiological signals like temperature, HRV, sleep, and activity. Discover educational resources and insights for developers and digital health platforms building FemTech solutions.
Best Wearables API for Startups: What to Look For and Top Options
Discover the best wearable APIs for startups building digital health, wellness, and fitness applications. Learn what to look for in a wearable integration platform and explore top options to access and standardize data from multiple devices.
Oura vs Whoop: Health and Performance Comparison
Oura and Whoop are two leading wearables focused on sleep, recovery, and performance optimization. This comparison breaks down their features, metrics, pricing models, and ideal user profiles to help you decide which device aligns with your health or performance goals.
ROOK vs Spike API: Which Wearable Integration Platform Is Right for You?
Choosing between ROOK and Spike API depends on your product strategy. This comparison explores differences in wearable data standardization, engineering complexity, scalability, and use case alignment to help you select the right integration platform for digital health, InsurTech, and wellness solutions.
Understanding Our API: Biomarker Data Structure Vol. 2
In this second volume of our ROOK API series, we explore advanced integration topics including granular data, manual data handling, auto-detected vs manually started activities, continuous step events, time zone management, and structured versus proprietary metrics. This guide helps teams build more accurate, real-time, and scalable wearable-powered applications.
Understanding Our API: Biomarker Data Structure Vol. 1
ROOK standardizes wearable health data into three core pillars—Physical, Sleep, and Body—delivered as summary and event JSON structures. This guide explains how document versioning works, the difference between structured and proprietary data, and best practices for building reliable, scalable health applications.
Why wearable data is the future of employee wellness
Wearable data is transforming employee wellness programs by delivering continuous, personalized, and measurable insights. Learn how this data drives engagement, prevention, and better outcomes for organizations.
ROOK vs Validic: Which wearable integration platform is right for you?
Choosing between ROOK and Validic depends on your product strategy. This comparison explores differences in wearable data normalization, scalability, engineering overhead, and market focus to help you select the right integration platform for digital health, InsurTech, or clinical use cases.
How to Turn Wearable Data Into a Scalable Reward System
Wearable data can power more than dashboards. When structured correctly, it becomes the foundation of a scalable reward system that drives engagement, improves health outcomes, and creates measurable business impact. This guide explains how to design behavior-based scoring models, tier structures, and meaningful incentives using wearable data.
Wearable integrations: build in-house or use the ROOK API
As wearables become a key source of health data, companies must decide whether to build integrations in-house or use a specialized API. We break down cost, scalability, time to market, and data quality to help you choose the right approach.
Base44 x ROOK Integration
The Base44 x ROOK integration allows you to connect major wearable devices through a single API layer, eliminating the complexity of managing multiple SDKs, OAuth flows, and webhooks. Access normalized health and activity data from Whoop, Garmin, Oura, Fitbit, Withings, and more, and start building your health or fitness app in minutes instead of months.