Joachim Kohlhammer c86b5a6be9 Harmonize the layout of athlete settings (#4562)
Settings
* About
  * Show the athletes name
  * Mask the avatar-image as a circle
* Model
  * Add button to revert to defaults
* Auto Import
  * Use inline editing
* Backup
  * Add a "Backup now"-button

Create new athlete
* Rename NewCyclistDialog to NewAthleteWizard and turned it into a
  2-page wizard
* ChooseCyclistDialog: Open the NewAthleteWizard without interaction
  if no athlete is available

Common
* Avatar image
  * Use Qt::SmoothTransformation for improved quality
  * Crop to the center of the original image
  * Keep aspect ratio of the original image
* All forms: Use QFormLayout to simplify the code and provide a
  desktop aware layout
* Switch to QDialogButtonBox for a button order aligned with the
  desktop

Centralized creation of QFormLayouts
* Added option to use either system-style or mac-style for QFormLayouts
2024-10-29 09:49:19 -03:00
2024-05-30 19:18:31 -03:00
2024-09-26 17:16:00 -03:00
2024-07-25 07:31:12 -03:00
2024-03-25 20:46:26 -03:00
2019-03-12 19:16:22 +00:00
2024-03-25 20:46:26 -03:00
2024-03-25 20:46:26 -03:00
2024-03-25 20:46:26 -03:00
2024-09-12 10:29:10 -03:00
2023-10-22 08:54:44 +01:00

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: Build Status

Windows: Build status

Coverity Status

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

Languages
Standard ML 68.3%
C++ 28.1%
C 2.7%
Yacc 0.2%
QMake 0.2%
Other 0.1%