Joachim Kohlhammer 84d7272f6d Calendar: Agenda View (#4727)
* Read-only view to show
  * missed planned activities (configurable number of days to look back)
  * todays planned activities, phases and events
  * upcoming planned activities, phases and events (configurable number
    of days to look ahead)
* Color of planned activities is now user configurable (coming from
  global color theme)
* Added a hint to show whether a filter is active (all calendar views)
* Configuration: Reorganized in tabs
* Refactoring: Created enums for all user roles used in the calendar
  (all views, all delegates) to improve readability; removed data that
  was only written but never read
2025-11-10 12:08:27 -03:00
2025-08-18 19:15:01 -03:00
2025-11-10 12:08:27 -03:00
2025-08-19 22:14:11 -03:00
2025-05-30 14:27:56 -03:00
2024-03-25 20:46:26 -03:00
2019-03-12 19:16:22 +00:00
2025-04-23 17:12:18 -03:00
2024-03-25 20:46:26 -03:00
2025-05-02 17:18:28 -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

Linux on Travis-ci: 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%