We still have more to do, but have pushed out version 3.4 now to get FIT 2.0 support out as quickly as possible since more devices and services are beginning to support FIT 2.0 and use its extensible data model. If you dont have one, it uses virtual power from a speed sensor and a. This has 4 main elements supporting more devices and data series, making the data model user extensible, providing user tools to build analytics and enabling better sharing of user content. The link below will build GoldenCheetah on a Pi 3b+, but the Pi 3 does not have. gpx file for the Luz Ardiden climb and I want to be able to ride this in 'free mode' on the trainer, kind of like in Zwift, wherein it simulates a power based on variables I have set in GC's new Virtual Bicycle Specifications and the gradient within the. Over the last 12 months since the release of version 3.3 we have been focusing on adding functionality to enable users to perform more insightful analytics. I'm only trying this for the first time on an old Computrainer (which works) so bear with me. You can share and export data to popular online services like Strava and TrainingPeaks. It seems that whatever I set when I add a new trainer, no speed to power conversion happens. You can analyse and compare performance data across different rides, intervals, seasons and even compare athletes. My main interest is the virtual power curve capabilities using a speed sensor and a dumb trainer. There is a video overview of what's new here: GoldenCheetah supports all current power meters including SRM, PowerTap and Vector and all of the most popular application file formats. We are proud to announce the release of version 3.4 of GoldenCheetah.
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