Mark Liversedge 11092bf436 Athlete View 1 of 3
.. introducing the athlete view

.. at startup the first athlete is loaded as normal, but once the
   mainwindow is open the athletes are managed from the athlete view

.. athlete ride cache restore happen in background (via a thread) to
   enable the GUI to remain responsive whilst it takes place (since
   for most non-trivial cases it can take 30 seconds or more).

.. multiple mainwindows has been deprecated and whilst each open
   athlete is selected via a tab, this will change to a combobox
   in later commits.

.. the tiles in the athlete view do very little apart from show the
   avatar and progress/load status when an athlete is being loaded.

.. future commits will introduce more detail and actions for the
   athlete tile and deprecate the athlete tab bar for a combo on
   the toolbar (amongst other things).
2020-07-29 21:38:38 +01:00
2020-07-29 12:13:22 +01:00
2015-09-18 08:49:39 +01:00
2020-07-29 21:38:38 +01:00
2019-02-10 16:18:51 +01:00
2018-06-02 11:01:43 +01:00
2019-03-12 19:16:22 +00:00
2020-05-09 13:39:02 -03:00
2020-03-27 13:38:45 -03:00

GoldenCheetah

About

GoldenCheetah is an open-source data analysis tool primarily written in C++ with Qt for cyclists and triathletes with support for training as well.

GoldenCheetah can connect with indoor trainers and cycling equipment such as cycling computers and power meters to import data.

In addition, GoldenCheetah can connect to cloud services.

It can then manipulate and view the data, as well as analyze it.

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

Alternatively, official builds are available from http://www.goldencheetah.org

whilst the latest developer builds are available from https://github.com/GoldenCheetah/GoldenCheetah/releases

Languages
Standard ML 68.2%
C++ 28.2%
C 2.7%
Yacc 0.2%
QMake 0.2%
Other 0.1%