d6e570ce3c
Relevant changes from v3.7-DEV2408a30b96cc8Refactored the placement of items in the ChartSpace (#4549)62ef8abe4Make the Workout Editor's Settings Persistent (#4553)217bd3b88Scale Line Width default values (#4556)f4d6c2ae4avoid regression caused by #4337 due to changed order of data series enum61fa77b2crespect linewidth setting inside the workout editor realtime plot (#4550)51b0c9099Fix intervals in Compare Pane are 1 sample shortb62a2d319Ride Cache - Don't remove 1 sec intervalsc51941231CP chart - show tooltip for model curve5f1598c43FIT - map fields to standard only for record msg (#4521)9242f724dImplemented user defined relative date ranges (#4534)60f903361Cycling dynamics in train mode (#4337)1230dc7c6FIT parser - Lap messages can be first (#4535)79b523781Removed wildcard from translatable part (#4545)ee992ad13Enable Performance Tests for CV charts7e7ffd3cbAerolab - fix imperial units labels (#4542) [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
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