GoldenCheetah
Apple Silicon version latest seen at v3.8.0 · Reported by 1 Mac in the community.
Sighting data is community-sourced — version availability and pricing should be verified with the developer.
GoldenCheetah is an open-source performance analysis tool for cyclists, runners and triathletes. It lets athletes import training data from power meters, cycling computers, indoor trainers and cloud services like Garmin Connect and Strava, then manipulate, view and analyze that data to track fitness, plan workouts and study performance metrics. The app is written in C++ with Qt and supports data export in multiple formats. A native Apple Silicon build has been confirmed running on Macs in the Rosetta Check community.
AI Recommendation
1 suggestionA native Apple Silicon build of GoldenCheetah exists and has been confirmed running on real Macs. The project's maintainers have successfully compiled native ARM64 binaries, though distribution remains in flux. The most reliable path is to download the latest prebuilt macOS binary from the official GoldenCheetah project releases at github.com/GoldenCheetah/GoldenCheetah/releases — GitHub now serves native builds automatically on Apple Silicon Macs. If you encounter an Intel-only build from an older source, replace it with the latest GitHub release. For users who prefer a more straightforward installation, the project is actively maintained and the development team is working to improve the official macOS distribution; checking goldencheetah.org for any newly published native binaries is worth doing. Expect noticeably better performance, lower CPU usage and longer battery life compared to running under Rosetta 2.
Recommended reading