Try other libraries, such as https://github.com/orcasgit/python-fitbit
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.
When using these tools, you must create your own app on FitBit's dev site. For "Application Type", choose Desktop, and if you want to use the weight upload feature (or add other upload tasks), be sure to choose Read/Write as default access type. Otherwise Read-Only is acceptable.
Currently, I use FitBit's API Debug Tool (https://dev.fitbit.com/apps/oauthtutorialpage) to get access tokens and secrets, but I should and will create a tool that handles this.
- 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
- fitbit_heat_map.rs
Copyright (c) 2013 Dave Jacoby (jacoby.david@gmail.com) and contributors
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