15bafbd444
Summary of changes from v3.6 release:ec0653f81ErgFilePlot - realtime curves honor FFWD/RWND and lap F/B43368addfMapview: Added interactivity to the Smallplot (#4408)72de6bbeeFix lap data auto-reset in slope workoutsc2f440c1cFix broken workout directory check for the first start (#4410)b095b403bFix shortcuts not available due to translationse6ff1a157Python Chart Editor Cosmetics00e182c41Better user experience when drawing segments on the map (#4403)f746f7361GPX parser - support ns3 TrackPointExtension name9ae7521e5Upgrade Travis-ci macOS version to macOS 11.6e8132b1a5Upgrade Travis-ci Linux version to Ubuntu 20.048f2ba0e11Special case Start Date and Time in the cache110652bf4Update German translationfabc344aaAdd Wahoo PowrLinkf78381466Train library - add path to the list of possible errors48d91d02dFix issues after perspective switch (#786)59a8ca231Implemented compare mode for RideMapWindow (#786)733db9cb1Ignore dot folders on athlete open/backup/delete951e5f360Fix crash on invalid perspective filter [publish binaries]
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