.. part of a few updates to add some smoothing algorithms to apply to vector data, this first one is just a simple moving average. .. smooth(list, sma, centered|forward|backward, window) will apply smoothing to the list. Note that centered doesn't use multiple windows when the window size is even, so recommend always using an odd number for this parameter. .. will add ewma and maybe some others over the next few commits.
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
Alternatively, official builds are available from http://www.goldencheetah.org
whilst the latest developer builds are available from https://github.com/GoldenCheetah/GoldenCheetah/releases