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    <title>smart-watch</title>
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    <updated>2026-04-20T09:02:37+00:00</updated>
    <id>https://links.biapy.com/guest/tags/892/feed</id>
            <entry>
            <id>https://links.biapy.com/links/11981</id>
            <title type="text"><![CDATA[AsteroidOS]]></title>
            <link rel="alternate" href="https://asteroidos.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11981"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free your wrist.

AsteroidOS is an open-source Linux distribution for smartwatches.

Related contents:

- [AsteroidOS - Du Linux au poignet pour libérer votre montre @ Korben :fr:](https://korben.info/asteroidos-linux-montres-connectees.html).]]>
            </summary>
            <updated>2026-03-02T10:15:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11799</id>
            <title type="text"><![CDATA[Pebble Emulator]]></title>
            <link rel="alternate" href="https://ericmigi.github.io/pebble-qemu-wasm/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11799"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pebble smartwatch emulator running in the browser. QEMU compiled to WebAssembly boots real Pebble firmware and renders the display to an HTML canvas.

Runs entirely in your browser — no server, no install. QEMU is compiled to WebAssembly, emulating the original Pebble ARM hardware and booting real PebbleOS firmware. Tested on desktop, doesn&amp;#039;t work well on mobile yet.

- [Pebble Emulator @ GitHub](https://github.com/ericmigi/pebble-qemu-wasm).]]>
            </summary>
            <updated>2026-02-13T12:45:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/872</id>
            <title type="text"><![CDATA[Garmin Grafana]]></title>
            <link rel="alternate" href="https://github.com/arpanghosh8453/garmin-grafana" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/872"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Python Script to fetch Garmin health data and populate that in a InfluxDB Database, for visualization long term health trends with Grafana.]]>
            </summary>
            <updated>2025-08-28T18:23:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1597</id>
            <title type="text"><![CDATA[GarminDB]]></title>
            <link rel="alternate" href="https://github.com/tcgoetz/GarminDB" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1597"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks. 

Python scripts for parsing health data into and manipulating data in a SQLite database. SQLite is a light weight database that doesn&amp;#039;t require a server.

Related contents:

- [Episode 601: Taming the Demons @ Linux Unplugged](https://linuxunplugged.com/601).]]>
            </summary>
            <updated>2025-08-28T20:23:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3935</id>
            <title type="text"><![CDATA[Nolio]]></title>
            <link rel="alternate" href="https://www.nolio.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3935"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Smart training for athletes and coaches.
Platform for athletes, coaches, and clubs.

- [\#282.bin - JO2024 - Partie 1: L&amp;#039;avant-match : la tech pour le coach avec François Dupont, Alexandre Bouquet @ \&amp;lt;ifttd\&amp;gt;](https://www.ifttd.io/episodes/jo2024---partie-1).]]>
            </summary>
            <updated>2025-08-29T02:53:46+00:00</updated>
        </entry>
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