Alejandro Martinez efe64d3a96 Biweekly snapshot builds
Cumulative changes from v3.6-RC4
dbd33465c Update FIT SDK to 21.105
708d8744f Support larger font scaling
c85dab80a Skip previously imported files on Auto-Import (#4347)
1ecc6f9ec Python - Add compare support to activity series (#4349)
f0c9f12b4 FitRideFile - Identify Pulse Ox field
ab337f165 WorkoutWizard - Remove references to FTP and CP60
00d09af48 Highlight current selection in Train and Trends (#4320)
e7b9275a3 Update Italian translation
fdb35bf74 Athlete tab colour fix (#4257)
e32eabc10 Update German translation
[publish binaries]
2023-04-15 18:55:20 -03:00
2023-04-15 18:55:20 -03:00
2023-03-20 22:01:47 -03:00
2023-04-14 20:02:39 -03:00
2021-10-06 11:01:04 +01:00
2023-03-16 15:28:29 -03:00
2023-03-20 22:01:47 -03:00
2018-06-02 11:01:43 +01:00
2019-03-12 19:16:22 +00:00
2022-10-30 12:16:46 -03:00
2021-11-08 17:05:21 +00:00

GoldenCheetah

About

GoldenCheetah is a desktop application for cyclists and triathletes and coaches, providing a rich set of tools and models to analyse, track and predict performance, optimise aerodynamics and train indoors.

GoldenCheetah integrates with most popular cloud services like Strava and Todays Plan, imports data from bike computers, imports downloads from any website like TrainingPeaks and Garmin and will also connect to smart trainers using ANT+ and Bluetooth.

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 OS X

macOS and Linux: Build Status

Windows: Build status

Coverity Status

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

Languages
Standard ML 68.3%
C++ 28.1%
C 2.7%
Yacc 0.2%
QMake 0.2%
Other 0.1%