80ba6ea06a
* Created a new class ActionButtonBox, similar to QDialogButtonBox to
reduce code duplication when adding footers (add/delete, up/down) to
QTreeWidgets
* Created a new QStyledItemDelegate for inline editing of lists
* Highlighting the current category (General, Appearance, ...)
* Using the same reset button for Appearance and Measures that is hidden
in all other categories
* Using the same style and behaviour as in athlete settings for all
QTreeWidgets
* Using QFormLayout as much as possible, introducing additional support
for the setting Mac styled Forms
* General: Reordered the settings, grouped them and added a (optional)
scrollbar
* Data Fields
* Fields
* Enabled inline editing
* Added autocompletion to Screen Tab
* Added a uniqueness validator to Field
* Added the list-delegate to Values
* Colour Keywords: Added the list-delegate to Related Notres Words
* Defaults: Added autocompletion to Field and Linked field
* Metrics
* Swapped the tab order
* Favourites
* Made the lists wider
* Moved the up-/down-buttons below the Favourites list
* Training
* Swapped the tab order of Preferences and Train Devices
* Remote Controls
* Switched to inline editing
* Made the Action non-editable
* Virtual Bicycle Specifications: Redesigned the dialog
GoldenCheetah
About
GoldenCheetah is a desktop application for cyclists and triathletes and coaches
- Analyse using summary metrics like BikeStress, TRIMP or RPE
- Extract insight via models like Critical Power and W'bal
- Track and predict performance using models like Banister and PMC
- Optimise aerodynamics using Virtual Elevation
- Train indoors with ANT and BTLE trainers
- Upload and Download with many cloud services including Strava, Withings and Todays Plan
- Import and export data to and from a wide range of bike computers and file formats
- Track body measures, equipment use and setup your own metadata to track
GoldenCheetah provides tools for users to develop their own own metrics, models and charts
- A high-performance and powerful built-in scripting language
- Local Python runtime or embedding a user installed runtime
- Embedded user installed R runtime
GoldenCheetah supports community sharing via the Cloud
- Upload and download user developed metrics
- Upload and download user, Python or R charts
- Import indoor workouts from the ErgDB
- Share anonymised data with researchers via the OpenData initiative
GoldenCheetah is free for everyone to use and modify, released under the GPL v2 open source license with pre-built binaries for Mac, Windows and Linux.
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 MacOS
macOS and Linux: 
Windows:
Official release builds, snapshots and development builds are all available from http://www.goldencheetah.org
NOTIO Fork
If you are looking for the NOTIO fork of GoldenCheetah it can be found here: https://github.com/notio-technologies/GCNotio