These are my tools and libraries, which I use to manage and interact with the FitBit API. If you wish to use them, you will have to register a new app and get credentials from dev.fitbit.com, which is not a difficult task.
These are libraries I use to deal with my FitBit data
- fitbit.py - access to the FitBit API
- mydb.py - store data locally so I don't abuse the API
- pushover.py - alerting to my phone
- spark.py - creating sparklines for Twitter and other social media
I use YAML configuration files to keep from having to hardcode passwords and tokens into my code. These files show format only.
- fitbit.cnf
- my.yaml
- pushover.yml
- fitbit.txt - description of the MySQL table I use to store my FitBit data. Not valid SQL.
- fitbit.battery.py - checks current battery level and alerts if not "high"
- fitbit.date.py - full db download of FitBit data
- fitbit.download.py - last few days of FitBit data to configure
- fitbit.no_sync.py - check if my FitBit has sync'd in the last 3 days
- fitbit.spark.py - outputs a sparkline showing the ups and downs of my last week's steps
- fitbit.weight.py - uploads my weight via the FitBit API
I use R to generate plots of my FitBit data. I'm including two RScripts which run via crontab. My R is very remedial, and the plots could be made much prettier with ggplot2 and similar libraries.
- fb_floors_week.rs
- fb_steps_week.rs
Copyright (c) 2013 Dave Jacoby (jacoby.david@gmail.com) and contributors
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