Can you design a Python project like material flow, architect only?
Garmin Local Archive is a tool designed to store and analyze Garmin Connect data locally, prioritizing user privacy. It allows users to maintain a complete copy of their health data without relying on cloud services, addressing concerns about data degradation over time. The project is not affiliated with Garmin and operates using an unofficial API, providing features for health analysis and data visualization.
- ▪Garmin Local Archive enables users to back up their Garmin Connect data locally without cloud dependency.
- ▪The tool captures health data while it is still available, as older data loses detail over time.
- ▪It offers features like health analysis dashboards and structured data storage in formats like JSON and Excel.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/Wewoc/Garmin_Local_Archive |
| Publication time | Fri, 29 May 2026 13:11:11 +0000 |
| Retrieval time | 2026-05-29T13:20:00.413Z |
| Last seen | 2026-05-29T13:20:00.413Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | qkcSJPWkHdDK |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Garmin Local Archive Archive and analyze your Garmin Connect data locally on your machine — create your own backup — no cloud, no third parties, no subscriptions. Everything runs locally under your control. Privacy first — inspired by European principles. Why this exists I wanted to ask an AI questions about my health data without sending that data to another cloud service. So I built a local alternative instead. There's a second reason that matters more over time: Garmin degrades intraday data in stages — based on archive data collected in April 2026, full resolution is only available for the most recent ~6 months; older data loses detail progressively, and beyond ~2.5 years only daily summaries remain. Once it's gone, it's gone permanently.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.