Mark Liversedge b4eb1191fd Add QChart to Python Chart (1 of 5)
Updating the python chart to render via a Qt Chart in addition
to the existing web page rendering.

Five aspects are planned:
1. Add QT chart option, basic rendering of Line+Scatter (this commit)
2. Add legend and axes, support for Pie and Bar charts
3. Add interactivity / hover etc
4. Add options for annotations and markers
5. Add more advanced charts and chart objects

There is an example in the tests folder, but at this point the
chart is very basic, but the main plumbing is in place.
2020-02-10 11:57:42 +00:00
2018-06-02 11:01:43 +01:00
2020-01-13 15:34:09 +00:00
2015-09-18 08:49:39 +01:00
2019-03-12 18:20:32 +00:00
2020-02-10 11:57:42 +00:00
2020-02-10 11:57:42 +00:00
2019-02-10 16:18:51 +01:00
2019-12-08 11:59:52 -03:00
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
2017-11-07 21:38:24 -05:00

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

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%