60f9033617
* TRAIN - add cycling dynamics Power sensors which deliver cycling dynamics such as power start angle, rider position, etc. are supported during hometrainer session. Goldencheetah requests power sensor capabilities and, when available, request the sensor to enable them (power phase, pedal position, etc. and 8Hz transmission mode which is mandatory when accessing those additional data pages) * COSMETIC - FIX comment related to gc csv header The comment was not reflecting the up-to-date file content as per latest CSV header * FIX load/slope in CSV Only target power was recorded in CSV records during hometrainer session. When not using ERG mode but slope mode then the data was lost. This patch take care of training mode to determine which data is to be recorded. * TRAIN - flexible gc CSV Allows to add fields in CSV file recorded during hometrainer session without impacting a lot of files in the code Historical first fields are still used to determine taht this file has been created by GoldenCheetah. During CSV parsing GoldenCheetah will use CSV header to determine which fields are part of the file and to locate the column which contain it * TRAIN - add cycling dynamics to CSV records during hometrainer session * CsvRideFile fixes Free gcSeries and Qt6 compatibility --------- Co-authored-by: Alejandro Martinez <amtriathlon@gmail.com>
GoldenCheetah
About
GoldenCheetah is a desktop application for cyclists and triathletes and coaches
- Analyse using summary metrics like BikeStress, TRIMP or RPE
- Extract insight via models like Critical Power and W'bal
- Track and predict performance using models like Banister and PMC
- Optimise aerodynamics using Virtual Elevation
- Train indoors with ANT and BTLE trainers
- Upload and Download with many cloud services including Strava, Withings and Todays Plan
- Import and export data to and from a wide range of bike computers and file formats
- Track body measures, equipment use and setup your own metadata to track
GoldenCheetah provides tools for users to develop their own own metrics, models and charts
- A high-performance and powerful built-in scripting language
- Local Python runtime or embedding a user installed runtime
- Embedded user installed R runtime
GoldenCheetah supports community sharing via the Cloud
- Upload and download user developed metrics
- Upload and download user, Python or R charts
- Import indoor workouts from the ErgDB
- Share anonymised data with researchers via the OpenData initiative
GoldenCheetah is free for everyone to use and modify, released under the GPL v2 open source license with pre-built binaries for Mac, Windows and Linux.
Installing
Golden Cheetah install and build instructions are documented for each platform;
INSTALL-WIN32 For building on Microsoft Windows
INSTALL-LINUX For building on Linux
INSTALL-MAC For building on Apple MacOS
macOS and Linux: 
Windows:
Official release builds, snapshots and development builds are all available from http://www.goldencheetah.org
NOTIO Fork
If you are looking for the NOTIO fork of GoldenCheetah it can be found here: https://github.com/notio-technologies/GCNotio