Hitrava
wasp-os
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| Hitrava | wasp-os | |
|---|---|---|
| 3 | 8 | |
| 328 | 780 | |
| - | 1.4% | |
| 2.2 | 0.0 | |
| 8 months ago | 3 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Hitrava
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Huawei Health: Export Data from IOS
7) Go to https://github.com/CTHRU/Hitrava and download the latest build
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Nice watch, but expensive to be just a "nice watch"
Found this: https://github.com/CTHRU/Hitrava
- How to get Huawei Watch data exported.
wasp-os
- PineTime Duplicate Notifications
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Quest for My Perfect Watch
Try wasp-os https://github.com/daniel-thompson/wasp-os
I have a colmi P8 and it was easy to get wasp-os uploaded and now have micropython available with direct connection into the watch!
Battery life is really only 24-48hrs if you don’t do anything heavy.
Sometimes I wonder how more useful it is than my apple watch.
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Install apps in wasp-os / PineTime
I want to install some apps available in the repository https://github.com/daniel-thompson/wasp-os on my PineTime running wasp-os, because some were not shipped with the official 0.4.1 release. Any idea how to do that?
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Pinetime developer guide?
You can also have a look at early commits from existing project (Waspos, InfiniTime, Hypnos,...). For example, the very first commit of InfiniTime consisted in a simple main and a blink task.
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Using Raspberry Pi as Dev Platform for smartwatch development
1) First you you need to choose smartwatch dev kit I choose PineTime smartwatch by Pine64 2) Next you need to install the Dev tools you need for development as you see in the image above 3) Next you need to choose an Operating system or firmware for your smartwatch I choose Wasp-os https://github.com/daniel-thompson/wasp-os and it has all the libraries and documentation right on github it also has good documentation Right here https://wasp-os.readthedocs.io/en/latest/install.html#install-prerequisites 4)Rest all depends on what you trying to build with the smartwatch the possibilities are endless
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Pine64.org It's Time: InfiniTime 1.0
If you're unable to ship PineTime to your country and if you're looking for a watch to tinker with checkout wasp-os[1] project which runs micropython on some easily available NRF52832 devices.
Also Aaron's ATCWatch[2] which runs Arduino compatbile firmware on the aforementioned devices and more; His Daflasher app has made it possible to flash firmware to to NRF52832 devices without any HW tinkering.
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Open Source Smartwatch
Per the wiki it has a default OS (InfiniTime). However currently the MicroPython based Wasp-OS seems to have more features.
What are some alternatives?
huawei-health-to-gpx - Convert activities from the Huawei Health app and activity trackers to GPX files
InfiniTime - Firmware for Pinetime smartwatch written in C++ and based on FreeRTOS
tapiriik - tapiriik keeps your fitness in sync
pinetime-hypnos - Zephyr firmware for the nRF52832 PineTime smartwatch
kobackupdec - Huawei backup decryptor
awesome-pinetime - List of PineTime projects.
ML-auto-baseball-pitching-overlay - ⚾🤖⚾ Automatic baseball pitching overlay in realtime
ATCwatch - Custom Arduino C++ firmware for the P8 and PineTime plus many more DaFit Smartwatches
hms-push-serverdemo-python - Python sample code encapsulates APIs of the HUAWEI Push Kit server. It provides many sample programs about quick access to HUAWEI Push Kit for your reference or usage.
lilygo-ttgo-twatch-2020-micropython - :snake:MicroPython for LilyGO TTGO T-Watch-2020:snake:
Huawei-TCX-Converter - A makeshift python tool that generates TCX files from Huawei HiTrack files
DT78-App-Android - Alternative app for the DT78 Smartwatch. Also works with DT92 & DT66. May work with watches that use the WearFit 2.0 app.