Mark Liversedge fe05d635e6 Generic Plot Selection Tool and OpenGL
When curves are painted via openGL there are a number of limitations
regarding aesthetics, setColor() doesn't work once the series is
created, opacity is ignored etc.

So when we create a selection from an openGL enabled curve we cannot
set it gray etc. Instead, this commit will set the selection curve
to gray and use opengl rendering on the selection (on the assumption
that the user specified opengl rendering for performance and so we
should reflect that in the selection curve).

This has a dramatic improvement in performance on a scatter plot of
activity data where there are 1000s and 10000s of points in some
cases.

We should recommend that opengl is enabled for curves that have large
number of points, and indeed, the default is to enable it unless the
user specifically overrides (e.g. for better aesthetics).
2020-02-18 09:53:10 +00:00
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2020-02-10 11:57:42 +00:00
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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

OSX: 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%