Joachim Kohlhammer a30b96cc8a Refactored the placement of items in the ChartSpace (#4549)
Fixes #4467:
* Tiles are dragged to a column, inserted into the columns tile order
* Placing tiles left or right of the existing columns creates a new
  column (up to a fixed limit)
* As there is no concept of lines, the placement must
  * always respect the users choice of a column
  * never move a tile horizontally without user interaction
* Shift-resizing a tile allows spanning multiple columns
* Improved change detection
* Preventing superfluous layouting requests and order increments
* Added a visual indicator where the item will be placed when dropped
* Fixed a glitch when creating new columns on the right, when dragging
  beyond a newly created column on the right, the visual indicator was
  hidden and pseudo changes where detected.
2024-10-13 18:33:08 -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 68.2%
C++ 28.2%
C 2.7%
Yacc 0.2%
QMake 0.2%
Other 0.1%