2eaf1bccc1
Python is moved to 3.11 and packaged in Appveyor. This version is a good spot in the lifecycle. Packaged SIP at the current version, I needed this to get around some of the reparsing that was required. Eventually this will break but make -f Makefile.SIP likely creates a new build, we should do this at every "major" release. Unfroze the rest so it can move freely. Add iterator support to GoldenCheetah container data types in Python. This avoids the Pandas regression that held us back. Added code signing for MacOS as this was a requirement to run my local binaries and unfortunately needed to rewrite the build. This puts us at a good jumping off spot for building a universal Mac binary but there's a lot of work left.
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
Windows/macOS/Linux on AppVeyor:
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
Feedback
If you have questions or would like to give feedback, we have a Users Forum: https://groups.google.com/g/golden-cheetah-users