Alejandro Martinez 76922846f8 Update snapshot builds
Functional changes from last snapshot:
b3df63378 Drag and Drop Images onto a ride
50c305b7f bluetooth FTMS fix to get device speed  (#4440)
bd751988e Add Context help for Create/Edit User Metrics
809d72d00 MainWindow gets drag/drop from Overview
46545d6e7 Don't use Ctrl+C to check for new activities
07d1197c6 Update German Translation

There are also lot of changes related to QT6 refactor but,
in principle, they should not affect snapshot builds using Qt5.15

Previous changes from v3.6 release
ee39d19adf
[publish binaries]
2024-02-03 11:27:36 -03:00
2024-01-10 16:51:52 -03:00
2023-12-10 18:42:09 -03:00
2024-02-03 11:27:36 -03:00
2023-12-15 20:39:22 -03:00
2024-01-07 13:46:00 -03:00
2021-10-06 11:01:04 +01:00
2024-01-07 13:46:00 -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
2023-10-22 08:54:44 +01:00

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

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%