.. Enable click through from the data points on a generic chart when on trends view. .. This commit includes the 'addCurve' bindings to pass the activity filenames from R, Python and the User Chart. .. It also includes a new DataFilter function 'filename' to get a vector of strings that are the filenames for the activities in the selected date range (or the filename for the currently selected activity). .. The second commit will include the interaction code for GenericPlot to click-thru a selection.
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