Mark Liversedge 0f1224bb35 User Chart (Part 1 of 2)
.. basic user chart only on analysis view. Users can specify
   a data filter script to prepare data for the x and y axes.
   It uses the generic chart to visualise so one step closer
   to a UX where all charts have the same behaviour.

.. will need to update to place on trends view, including
   updating the way userdata works and possibly adding a
   few new functions to support working with models and mmp
   data amongst a few other things.

.. likely contains quite a few nits as most of the code
   is related to configuration and is a bit thorny.
2020-03-08 16:29:42 +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
2020-02-24 09:22:48 +00:00
2020-03-08 16:29:42 +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%