Mark Liversedge 1148e3aa69 Banister fitting windows
.. split if no gaps in seasons and combine if seasons
   are too short.

.. this way we get fairly stable fits (2yr window size)
   but also get to see parameters reflect aging, so
   p0 declines and k1/k2 fit better.

.. still need to think how t1/t2 should adjust...
2019-01-14 10:46:54 +00:00
2018-06-02 11:01:43 +01:00
2019-01-10 15:10:11 +00:00
2015-09-18 08:49:39 +01:00
2019-01-14 10:46:54 +00:00
2018-02-15 15:25:54 +00:00
2018-05-30 12:40:12 -03:00
2018-06-02 11:01:43 +01:00
2015-11-25 19:48:42 +00:00
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%