rudrankriyam

Unofficial Google-Health-CLI for the Google Health API, written in Go

19
0
100% credibility
Found May 09, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

An unofficial command-line tool that lets users query fitness data like steps, heart rate, and sleep from Google Health, manage profiles and settings, and handle webhook subscribers.

How It Works

1
🔍 Find the Health Tool

You hear about a simple way to check your Google fitness data like steps and heart rate directly from your computer.

2
📥 Get the Tool Ready

You download and set up the free tool on your computer in moments.

3
🔗 Connect Your Account

You link your Google Health account with a quick, secure login like signing into a website.

4
📋 See Available Data

You browse the types of health info available, such as sleep, heart rate, and daily steps.

5
📊 Pull Your Stats

You request your steps or heart rate for a specific week and instantly see a clear table of results.

6
⚙️ Update Profile

You adjust your personal settings or profile details if you want.

🎉 Track Health Easily

Now you can view, analyze, and manage your fitness journey anytime with simple requests.

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AI-Generated Review

What is Google-Health-CLI?

Google-Health-CLI is an unofficial Go-based command-line tool for the Google Health API v4, shipping as `ghealth`. It handles OAuth login, queries 31 data types like heart-rate-variability, steps, and sleep, plus rollups, profile updates, and webhook subscribers. Developers get scriptable JSON output, table views, and raw API calls to pull health data without building HTTP clients from scratch.

Why is it gaining traction?

Unlike official SDKs lacking a polished CLI, this covers all 18 REST methods with smart date filters, reconcile commands for data sync, and agent-friendly manifests for automation. Output formats like NDJSON/CSV pipe cleanly into tools, echoing unofficial GitHub API wrappers or unofficial YouTube API projects that prioritize scripting over GUIs. Homebrew install and `ghealth doctor` make onboarding instant.

Who should use this?

Backend devs building google health clinical trials pipelines or integrating fitness data from wearables. Health app prototypers querying daily-resting-heart-rate or sleep summaries. Researchers or google health clinician roles analyzing patient metrics via API, skipping SDK setup.

Verdict

At 19 stars and 1.0% credibility, it's immature but boasts thorough docs, exit codes for CI, and test coverage matching the API surface—try it for quick unofficial access until Google ships a CLI. Solid for scripts, skip for production without monitoring.

(187 words)

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