fitbit-googlefit
Export Fitbit data to Google Fit. Unlike the alternatives such as fitnessyncer.com, this offers very fine intraday granularity (every minute/second data). (by pkpio)
qs_ledger
Quantified Self Personal Data Aggregator and Data Analysis (by markwk)
fitbit-googlefit | qs_ledger | |
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1 | 4 | |
473 | 965 | |
- | - | |
0.0 | 0.0 | |
about 1 year ago | almost 2 years ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
fitbit-googlefit
Posts with mentions or reviews of fitbit-googlefit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-31.
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Can you get raw data out of a Fitbit for manual analysis?
Here are some projects that I have found: https://github.com/orcasgit/python-fitbit https://github.com/corynissen/fitbitScraper https://github.com/aam4510/fitbit4j https://github.com/pkpio/fitbit-googlefit
qs_ledger
Posts with mentions or reviews of qs_ledger.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-31.
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Can you get raw data out of a Fitbit for manual analysis?
Here is a really really cool project that imports data from many sources and creates a personal database. https://github.com/markwk/qs_ledger
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Beginner ambitions
https://github.com/markwk/qs_ledger/blob/master/example_correlation_explorer_with_plotly.py so just linear correlation? and Anaconda again oh my
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Suggestions for logging miles on running shoes
Are you more interested in tracking the depreciation of the shoes, or your running habits? If it's the latter I'd point you to projects like qs_ledger.
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Looking for devs and knowledgeable health people for open source quantification !
I'd be interested. I'm working on my own thing similarly based mostly on https://github.com/markwk/qs_ledger.
What are some alternatives?
When comparing fitbit-googlefit and qs_ledger you can also consider the following projects:
fitbitScraper - R package to scrape fitbit data
Fitbit-Overview-Face - Fitbit watch face
fitbit4j - Fitbit Java Client API and Examples
Habitica-Pomodoro-SiteKeeper - Chrome Extension for Habitica that charges you gp for visiting sites, including a Pomodoro Timer
home-assistant-google_fit - :hearts: This component tracks your Google Fit activities.
pandas_exercises - Practice your pandas skills!
python-fitbit - Fitbit API Python Client Implementation
KindleHighlightsReader - A program to edit and prettify your Amazon Kindle highlights and export them as pdf, text, json or csv files.
fitbit-core - 🌑 A framework to simplify building Fitbit OS watchfaces
fitbit-googlefit vs fitbitScraper
qs_ledger vs Fitbit-Overview-Face
fitbit-googlefit vs fitbit4j
qs_ledger vs Habitica-Pomodoro-SiteKeeper
fitbit-googlefit vs home-assistant-google_fit
qs_ledger vs pandas_exercises
fitbit-googlefit vs python-fitbit
qs_ledger vs KindleHighlightsReader
qs_ledger vs fitbitScraper
qs_ledger vs python-fitbit
qs_ledger vs fitbit4j
qs_ledger vs fitbit-core