Changes from v3.7-Dev241230fdf6971Use QSound instead of QSoundEffect on Qt5559c8fd1dDropbox cloud service - Add format parameter1baa3db27Add Zoom property to Live map chart (#4619)51e608e1cScatter chart - Fix QA scale and LR balance points9123d79e6Revert "travis/linux: set QTWEBENGINE_DISABLE_SANDBOX=1 (#4216)" (#4597)f72c443e8Upgrade to Ubuntu 22.04 for Travis-ci builds69e5065c6Avoid Qt 6.5 bug when using windows11 stylef54bbed68Sync toolbar buttons on back/forward navigationec2486a4fCorrect incomplete signal (#4616)e909fad85Named workout filters (#4614)5dbc0ebceAdd CoreTemp heatstrain from ANT message into XData2094af57eSet value and value2 for tempe95315fd8eFix hysteresis configuration2ad79afe0Fix typo in metric description update translationsba2461c62Update gc icon to match the new splash screen (#4610)48c6ebdc1Remove Toggle Full Screen menu item for macOSd79f834a4Updated the splashscreen (#4599)9cf362559Move workout filter to the toolbar (#4596)20c978997Enable compiling VideoWindow with QT6 video (#4601)3af81eb27Addition of CoreTemp sensor support (#4207)aee21447aAdd tempe ANT sensor support (#4595)d18f24c03Athlete level WebEngineProfile for cookies and storage064d73c95Update Italian translationbf843459cUse default library.xml when an invalid one is presentf7e91e7faAvoid crash when workout search path is emptya7d6acec8Batch processing metadata auto completion field (#4590)8a5c57f35Replace obsolete appimagetool Fixes #4589042e06c4fUpdate German translation4b2cbec6bUpdate FITmetadata.json to FIT SDK v21.15808e5540ddAssigned keyboard shortcuts to toggle sidebars (#4583)9e38ae9b8Fixed calculation of measures when using imperial units (#4584)e9e83936dAvoid Qt 6.7 bug when using windows11 style2979ed879Text in Trainbottom window is word wrapped (#4582)b224752c2Update Spanish translation (#4580) [publish binaries]
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
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