GitHub Repository

Secure, local-first archive for Garmin Connect health data (HRV, sleep, activities). Private & offline. Structured for local analysis (Excel, HTML-Dashboard, and json for Ollama/Open WebUI). Your data stays on your machine.

7 starsPython

I can't write Python. It works anyway

Name: I can't write Python. It works anyway
Availability: InStock
Author: Wewoc

by Wewoc·Apr 18, 2026·9 points·8 comments

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AI Analysis

●●●BangerSolve My ProblemDark Horse

Prevents Garmin intraday data loss with a local encrypted Windows app.

Strengths

•515 automated tests and self-healing pipeline ensure reliability rare in hobby projects.
•Bulk import from GDPR ZIP recovers years of data the API deletes.
•AES-256 encrypted token storage and zero outbound traffic guarantee real privacy.

Weaknesses

•Windows-only desktop app excludes Linux and macOS users entirely.
•Early stage APIs may change, breaking downstream local AI integrations.

Post Description

Read an article about analyzing Garmin data with AI. Sounded great — except I didn't want to send my health data to any cloud service.

So I asked Claude to write me 2-3 scripts and a dashboard. This escalated a bit. 30 days and 20$ later I have this:

A local-first Garmin archive with interactive HTML dashboards, Excel exports, weather and pollen context, AES-256 encrypted token storage, and a self-healing data pipeline with 515 automated tests. Windows desktop app, no terminal needed. Nothing leaves your machine.

I never wrote a line of Python. I understood the problems and made the architectural decisions. Claude wrote everything else.

GitHub: github.com/Wewoc/Garmin_Local_Archive