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

Windows/macOS/Linux on AppVeyor:

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

Feedback

If you have questions or would like to give feedback, we have a Users Forum: https://groups.google.com/g/golden-cheetah-users

Languages

Standard ML 68.3%

C++ 28.1%

C 2.7%

Yacc 0.2%

QMake 0.2%

Other 0.1%