Mark Liversedge 8c4758cc7a ChartBar drag fixup for Qt5.10 regression
.. When the widget in QScrollArea resizes the position is set to origin,
   which is a regression introduced sometime after Qt5.9.

.. If the chart bar was scrolled then dragging a tab would cause the
   buttonbar to be resized temporarily as the item is removed from one
   index and placed at another.

.. To get around this we make the buttonbar fixedWidth, which means no
   resize events or processing occurs. But it means we need to adjust
   as widgets are added and removed.

.. Fortunately an existing function 'tidy()' is available to do this for
   us, but needed to be controlled (only resize when widgets are added
   or removed).

.. If the regression is fixed this commit can be reverted, but it should
   be harmless with/without any Qt fix.
2020-04-12 22:57:34 +01:00
2015-09-18 08:49:39 +01:00
2020-02-24 09:22:48 +00:00
2020-03-29 22:41:48 -03:00
2019-02-10 16:18:51 +01:00
2018-05-30 12:40:12 -03:00
2018-06-02 11:01:43 +01:00
2019-03-12 19:16:22 +00:00
2019-11-29 14:26:17 -03:00
2020-01-15 20:58:30 -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 68.3%
C++ 28.1%
C 2.7%
Yacc 0.2%
QMake 0.2%
Other 0.1%