Alejandro Martinez 7c9b9868fc Update snapshot builds
This is a pre-release build, changes from v3.7-Dev2412

57d1bdb  Use speed data from imported GPX files (#4628)
59e5154 Read and write xdata developer fields to FIT files (#4612)
79d47c5 Update translation files
f03f06c Avoid Qt 6.8 bug
a57063c Optimize computation/draw of widgets and charts during training
workouts, and Fix some train interface issues (#4624)
803ca90 Italian translations (#4627)
a59805e Enable overlay widgets on supported platforms only
5c1eace ActionButtons: Showing +- labels with Qt 6.8.2 (cont.) (#4626)
f4dd479 ActionButtons: Showing +- labels with Qt 6.8.2 (#4625)
2aadb79 CloudDB - Fallback to local cache on not available
b57e438 Enable RLV for QT6 Video Window (#4609)
240589c Correction to 8eb96b2d6: isHidden() is always 'false' (#4622)
0114443 Scatter Plot - keep CPV < 1 when Ignore Zeros
8eb96b2 Elevation chart as a new widget for train window (#4620)
4395064 Add Qt translations to Linux AppImage
423473b Load Qt translator for the selected language
524cbfa Avoid QSoundEffect var out of scope too early
30fdf69 Use QSound instead of QSoundEffect on Qt5
559c8fd Dropbox cloud service - Add format parameter
1baa3db Add Zoom property to Live map chart (#4619)
51e608e Scatter chart - Fix QA scale and LR balance points
9123d79 Revert "travis/linux: set QTWEBENGINE_DISABLE_SANDBOX=1 (#4216)"
(#4597)
f72c443 Upgrade to Ubuntu 22.04 for Travis-ci builds
69e5065 Avoid Qt 6.5 bug when using windows11 style
f54bbed Sync toolbar buttons on back/forward navigation
ec2486a Correct incomplete signal (#4616)
e909fad Named workout filters (#4614)
5dbc0eb Add CoreTemp heatstrain from ANT message into XData
2094af5 Set value and value2 for tempe
95315fd Fix hysteresis configuration
2ad79af Fix typo in metric description update translations
ba2461c Update gc icon to match the new splash screen (#4610)
48c6ebd Remove Toggle Full Screen menu item for macOS
d79f834 Updated the splashscreen (#4599)
9cf3625 Move workout filter to the toolbar (#4596)
20c9789 Enable compiling VideoWindow with QT6 video (#4601)
3af81eb Addition of CoreTemp sensor support (#4207)
aee2144 Add tempe ANT sensor support (#4595)
d18f24c Athlete level WebEngineProfile for cookies and storage
064d73c Update Italian translation
bf84345 Use default library.xml when an invalid one is present
f7e91e7 Avoid crash when workout search path is empty
a7d6ace Batch processing metadata auto completion field (#4590)
8a5c57f Replace obsolete appimagetool Fixes #4589
042e06c Update German translation
4b2cbec Update FITmetadata.json to FIT SDK v21.158
08e5540 Assigned keyboard shortcuts to toggle sidebars (#4583)
9e38ae9 Fixed calculation of measures when using imperial units (#4584)
e9e8393 Avoid Qt 6.7 bug when using windows11 style
2979ed8 Text in Trainbottom window is word wrapped (#4582)
b224752 Update Spanish translation (#4580)

[publish binaries]
2025-03-27 17:15:33 -03:00
2024-05-30 19:18:31 -03:00
2025-03-27 17:15:33 -03:00
2024-07-25 07:31:12 -03:00
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2019-03-12 19:16:22 +00:00
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2024-03-25 20:46:26 -03:00
2024-03-25 20:46:26 -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%