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Related topics Dates and Times, Activity tracking, Sleep tracking, Body temperature tracking, Heart rate tracking

Fitbit is an a manufacturer of wearable devices and provider of fitness/wellness related services. Since 2009 they have released a large variety of different activity trackers and smart watches with different form factors and sensors, as well as a range of smart scales. Many have been used and validated in research.[1] In 2019, Fitbit introduced a subscription model called Fitbit Premium for which the company charges ~10 USD/month for access to particular metrics, such as advanced body temperature details or stress.

Data collected by Fitbits[edit | edit source]

Given the large variety of different models and series of Fitbit devices (see table below), details between models change. But virtually all recent Fitbit devices record at least the following:

Additionally, more recent Fitbits also record additional metrics, such as

Exporting Fitbit data[edit | edit source]

Fitbit allows the export of up to 31 days of data – aggregated into daily statistics – through their website. Additionally, Fitbit provides an API that allows users to authorize third parties to export their own data. This integration does not have a limit for how much historic data can be exported. By default this API is also limited to daily aggregate values, but a personal API is available, which does provide access to intra-day resolution data.

Data export through Fitbit API[edit | edit source]

The Fitbit web API allows you to register your own app, which means that you can create the necessary authentications to access your full data through third-party tools or your own scripts. For some programming languages, such as Python and R, there are ready-made libraries that one can use to access data from Fitbit.

Exporting with a Python library[edit | edit source]

The python-fitbit library provides access to most data that your Fitbit collects. A recent guide on how to set it up can be found on Towards Data Science.

Exporting with an R library[edit | edit source]

Fitbitr is a library for the R programming language that provides the same functionality as the Python modules outlined above. The README of the package gives a good getting-started guide.

Exporting through Open Humans[edit | edit source]

Open Humans provides two different integrations that enable the export of all historic Fitbit data into a user's private storage with low effort. The regular Fitbit API integration does not require any complicated setup on the user end, but is limited to daily aggregate data. The more detailed Fitbit Intraday Connection requires setting up a personal Fitbit API app, but requires no coding of data export functions after this setup.

Personal Science projects that used Fitbits[edit | edit source]

This is to be considered a living and non-exhaustive list:

Overview of fitness tracker / smartwatches[edit | edit source]

The table below is taken from Wikipedia. It does not include the smart scales.

Model Type Released Steps Floors Heart rate Oxygen [2] Skin Temp[3] Sleep Sleep stages Clock Swim GPS Stress Tracking ECG[4] Fitbit OS Water resistance Battery life AOD[5] Customizable
Classic Clip 2009 Resistant 7 days
Ultra Clip 2011 Resistant 7 days
One Clip 2012 Resistant 10–14 days
Zip Clip 2012 Resistant 4–6 months
Flex Wristband 2013 Resistant 5 days
Force Wristband 2013 Resistant 7–10 days
Charge Wristband 2014 Resistant 7–10 days
Charge HR Wristband 2015 Resistant 5 days
Surge Smart watch 2015 Resistant 7 days
Blaze Smart watch 2016 Resistant 5 days
Alta Wristband 2016 Resistant 5 days
Charge 2 Wristband 2016 Resistant 5 days
Flex 2 Wristband 2017 Waterproof 5 days
Alta HR Wristband 2017 Resistant 7 days
Ionic Smart watch 2017 Waterproof 5 days
Versa Smart watch 2018 Waterproof 4 days
Ace Wristband 2018 Resistant 5 days
Charge 3 Wristband 2018 Waterproof, 50 meters 7 days
Inspire Wristband 2019 Waterproof 5 days
Inspire HR Wristband 2019 Waterproof, 50 meters 5 days
Versa 2 Smart watch 2019 Waterproof 4 days
Versa Lite Edition Smart watch 2019 Waterproof 4 days
Charge 4 Wristband 2020 Waterproof, 50 meters 3 hours (GPS)
7 days (advertised)
Versa 3 Smart watch 2020 Waterproof, 50 meters TBD (GPS)
6 days (advertised)
Fast charge one extra day in 12 minutes
Sense Smart watch 2020 Waterproof, 50 meters TBD (GPS)
6+ days (advertised)
Fast charge one extra day in 12 minutes
Full charge in 1-2 hours (manufacturer's claim)
Inspire 2 Wristband or clip 2020 Waterproof, 50 meters 10 days
Luxe Wristband 2021 Waterproof, 50 meters 5 days
Charge 5 Wristband 2021 Waterproof, 50 meters 7 days

Linked content on this wiki[edit source]

(The content in the table below is automatically created. See Template:Tool Queries for details. If newly linked pages do not appear here, click on "More" and "Refresh".)

Projects that use this tool  
15 Weeks of Self Tracking - 40 Pounds Lost, 28 Years of Tracking, But What Have I Learned?, 8,000 Screen Hours, A Million Heartbeats, Activity Tracking and Weight Loss: Apps and Gadgets in Practice, Activity Tracking for Teams, Analyzing My Weight and Sleep, Blood Oxygen On Mt. Everest, Consolidating Gadgets, Deciphering My Brain Fog, Experiments In Treating My Crohn's Disease, Fight For Your Right To Recess, Fit 50s, Sound 60s, Fitbit: You Had Me at Smooches, Fitting Mental Models, Genes and other strangers, Impact of work-related stress, Lessons From the Gray Zone Between QS and CBT, Measuring And Predicting Daily Satisfaction, Memomics And Longevity, Online Activity Aggregation, Parkinson's Tracking Update, QS Adventures with my Kids, Quantifying the Emotional Self, Quantifying with Kids, Self Knowledge Through Textile-Based Sensing, Sleep recordings: Oura vs Fitbit, The Dashboard Of My Life, The Quantified Double Self: A Tale of Twins, Tracking Activity, Posture and Time for Increased Health and Productivity, Tracking After A Stroke: Doctors, Dogs, And All The Rest, Tracking Glucose As A Person Without Diabetes, Tracking My Sleep And Resting Heart Rate, Tracking Pregnancy and Baby Growth, Tracking my Bruxism, Tracking my Parkinson's, Tracking my Son's Diabetes, Tracking with Zenobase, Using IOT for Motivation, Using Running And Cycling Data To Inform My Fashion, Weight Loss & Muscle Gain w/ Fitbit, What does clustering tell us, Where There's Data There's Hope, Why Annual Reporting
Self researchers who used this tool  
ErikBjare, Gedankenstuecke Justin Foo, Nan Shellabarger, Robby Macdonell, Crt Ahlin, Arne Tensfeldt, Joost Plattel, Kouris Kalligas, Fah Sathirapongsasuti, Eric Jain, Mark Drangsholt, Ari Meisel, Cantor Soule-Reeves, Maria Benet, Colette Ellis, Joost Plattel, Esther Dyson, Gedankenstuecke, Michael Kazarnowicz, John Cottongim, Stuart Calimport, Beau Gunderson, Kevin Krejci, Bill Schuller, Su Hyun Kim, Victor Lee, Anne Prahl, Gedankenstuecke, David de Souza, Rosane Oliveira, Florian Schumacher, Andreas Schreiber, Justin Lawler, Jakob Larsen, Erica Forzani, Peter Kuhar, Kevin Krejci, Vivienne Ming, Eric Jain, Charlampos Doukas, Anna Franziska Michel, Rob Portil, Gedankenstuecke, Larry Smarr, Lee Rogers
We talked about this tool in the following meetings  
2021-09-02 Self-Research Chat, 2021-09-16 Self-Research Chat, 2021-12-02 Self-Research Chat, 2022-02-10 Self-Research Chat, 2022-03-10 Self-Research Chat, 2022-07-28 Self-Research Chat