![]() Below I have my own file that I use for converting. There is a tool called "fitdump" that comes with the library, but it is an incomplete script. I strongly recommend Python 3 for this library, as I had issues when trying to use Python 2.7. The current version that you would install with apt-get is not up-to-date, so you should install it from GitHub using the following code (on Ubuntu): fit file to a Python class object, which contains a messages attribute that contains most of the useful information in the file, including the GPS coordinates and the timestamps/heartrates/step cadence/etc. The library converts all of the data in a. I discovered a library for Python called fitparse. The same was true when I tried converting it to GPX. Unfortunately, when I used it, GPSBabel did not look for anything other than coordinate information, so the times/heart rate info were lost. After installing the latest version from the GitHub source, I ran Converting these files to a useful format, however, is a bit tricky. This is a binary file format that allows a wide variety of data to be included in workouts, such as profile information, heart rate, and traditional time/coordinate information. With the Strava iPhone app, you can download data in a. I recently purchased a refurbished Garmin Forerunner 230, along with a heart rate monitor, with the hopes of being able to acquire more accurate GPS data (and heartrate info) on a smaller device. Follow I have a more streamlined script available at that performs FIT->CSV, GPX->CSV (needs testing), and CSV->censored CSV (blocks out some fields if they are within a certain radius of user-defined coordinates) conversions, as well as archiving the processed results.
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