Mark Liversedge 3461af38d5 User Chart Part 2 of 2
.. now works on trend view (in rangemode).

.. needed to add daterange to eval in datafilter to provide context
   for operations; e.g. meanmax return for activity or daterange.

.. fixed up a few bugs along the way. But now need to resolve the
   x-axis in generic plot when using dates and to auto set to some
   kind of sensible default.
2020-03-12 14:43:11 +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
2020-02-24 09:22:48 +00:00
2020-03-12 14:43:11 +00:00
2020-02-10 11:57:42 +00:00
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
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%