Mark Liversedge c0893c052a DataFilter vectors - append() and remove()
.. append(a, b [, pos]) follows the R convention for append and
   will append b to symbol a, optionally inserting from pos. it
   returns the number of elements in a rather than a copy of the
   vector (it is supposed to be quick).

.. remove(a, pos, count) has no R equivalent but does what it says
   calling the underlying QVector function, so should be quick. It
   also bounds checks (does nothing if bound invalid). Just like
   append it will also return the number of elements in a after the
   operation is completed.
2020-03-10 14:22:58 +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
2020-02-10 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%