Mark Liversedge 2874bf6bfa DataFilter vectors - metadata()
.. metadata("name") returns the value for the metadata field on analysis
   view or a vector of values if on trends view.

.. also fixed a few nits when working with category data on the user
   chart; sort/multisort had bugs, blank labels and pie chart legend.
2020-07-13 22:45:32 +01:00
2020-07-02 15:33:58 +01:00
2015-09-18 08:49:39 +01:00
2020-07-13 22:45:32 +01:00
2020-06-12 13:07:37 -03:00
2019-02-10 16:18:51 +01:00
2018-06-02 11:01:43 +01:00
2019-03-12 19:16:22 +00:00
2020-05-09 13:39:02 -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%