54ca96ffd9
.. after a long discussion about the relative merits of collecting aggregate data with ML and Stats experts we concluded that it was far better to collect sample data. .. this means a typical opendata zip file is now roughly 30x the size, so what was 1mb is now more likely to be 30mb. .. as a result the files will be published via an AWS S3 bucket since we would hit limits at github very quickly. .. the opendata code has been updated to: * ask permission now lists sample data that is collected * we include csv files for all workouts in the zip that is sent * we resend when the version of the file format changes .. additionally the config dialog now allows users to change their opt-in/out for sharing with opendata.
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: 
Windows:
Alternatively, official builds are available from http://www.goldencheetah.org
whilst the latest developer builds are available from https://github.com/GoldenCheetah/GoldenCheetah/releases