Magnus Gille ab1b9633d0 Fixes so that lupdate doesn't throw warnings (#4788)
src/Gui/CalendarItemDelegates.h:
  ColumnDelegatingItemDelegate
    - uses tr() so should call Q_OBJECT
  CalendarDetailedDayDelegate
    - uses tr() so should call Q_OBJECT
  Moved Q_OBJECT to the top of the class for consistency and this also guarantees it's private (which it has to be).

src/Gui/ColorButton.h:
  - Moved the comment from Colors.h here.

src/Gui/Colors.h:
  - Removed #if 0 code that confused lupdate since it doesn't understand preprocessor macros.
2026-01-04 10:07:50 -03:00
2025-12-27 16:06:45 -03:00
2025-12-13 12:20:49 -03:00
2024-03-25 20:46:26 -03:00
2019-03-12 19:16:22 +00:00
2025-12-13 12:20:49 -03:00

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

Windows/macOS/Linux on AppVeyor: Build 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

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 68.2%
C++ 28.2%
C 2.7%
Yacc 0.2%
QMake 0.2%
Other 0.1%