Golden Cheetah
Open-source performance software for cyclists with power analysis.
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What is Golden Cheetah?
GoldenCheetah is an open-source performance analysis tool designed for cyclists, triathletes, and coaches to process and evaluate ride data. It addresses the need for flexible, customizable analysis of athletic performance metrics, enabling users to extract insights from power, speed, and cadence data. The tool supports data imports from a wide range of devices and software, athletes to analyze their training without relying on proprietary platforms. By providing a comprehensive set of analytical tools, GoldenCheetah helps users track progress, optimize training, and share methodologies with others. Its cross-platform availability (Linux, macOS, Windows) and open-source licensing make it accessible to a broad audience, including amateur and professional athletes seeking control over their data. The project emphasizes community-driven development, reflecting its commitment to supporting grassroots sports through accessible technology.
How it works
GoldenCheetah is a performance analytics platform for cyclists, triathletes, and coaches. It enables users to import, analyze, and visualize ride data from various sources, including GPS devices, power meters, and other cycling software. The tool prioritizes flexibility, allowing users to tailor analysis workflows to their specific needs. Developed under the GPL-3.0 license, GoldenCheetah ensures open access to its codebase, fostering collaboration and transparency. Its primary purpose is to provide athletes and coaches with the ability to process complex performance data without vendor lock-in, supporting both individual and team-based training optimization. GoldenCheetah supports direct imports from multiple devices, including ANT+ sensors, USB devices, and data exported from platforms like TrainingPeaks or Strava. It also accepts CSV and other structured formats, enabling compatibility with third-party tools. The tool offers advanced analysis features such as power curve analysis, heart rate variability tracking, and interval training evaluation.
How to use it
- 1Download the latest release for your operating system from the official website. 2. Install the application, following platform-specific instructions for Windows, macOS, or Linux. 3. Import ride data by selecting files from supported devices or exported datasets. 4. Use the built-in analysis tools to generate metrics, charts, and performance insights. Practical tips include consulting the user guide for advanced features and leveraging the FAQ section to troubleshoot common issues. Regularly check the GitHub repository for updates and community-contributed plugins.
What it can do
- cycling analytics
Use cases
Assumptions and limitations
Assumptions
- source: https://github.com/GoldenCheetah/GoldenCheetah
- license: GPL-3.0 — free to use
- privacy: Self-hosted — you control your data
Limitations
- Limited real-time data processing capabilities for live rides
- Requires manual data export from devices, which may introduce formatting challenges
- Mobile app support is minimal compared to desktop platforms
- Advanced users may need technical expertise to customize analysis workflows
- Dependency on high-quality, properly formatted input data
Understanding the result
Open-source performance software for cyclists with power analysis.
Tool details
- Clearly flagged when a network request is needed.
- No account, no sign-up, and no tracking of your content.
- Powered by (GPL-3.0).
- Built with
- (GoldenCheetah/GoldenCheetah)
- License
- GPL-3.0
- Runs locally
- No — requires a network request
- Verification
- Not yet verified
- Input
- Query
- Output
- Text
Built with GoldenCheetah/GoldenCheetah. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.
- Built with
- License
- GPL-3.0
Open-source project
OpenToolVault is an independent directory. We are not affiliated with or endorsed by this project.
References
- / — GitHub Repository
Upstream project · GitHub
- GPL-3.0 License
Upstream project
Frequently asked
What file formats does GoldenCheetah support?
GoldenCheetah accepts data from ANT+ sensors, USB devices, and exported files from platforms like TrainingPeaks or Strava. It also supports CSV and other structured formats, enabling compatibility with third-party tools. Specific file format requirements depend on the source device or software used for data export.
How does GoldenCheetah handle data analysis?
The tool processes imported data using built-in algorithms for metrics like power curve analysis, heart rate variability, and interval training evaluation. Users can customize analysis parameters through the interface, with options for generating visualizations and exporting results. The open-source nature allows advanced users to modify core analysis logic via the codebase.
How do I import data from a power meter?
First, connect your power meter to your computer via USB or ANT+ interface. Use the device’s software to export the ride data as a CSV or compatible file. In GoldenCheetah, navigate to the import section, select the file, and configure any necessary settings. The tool will then process the data for analysis.
How does GoldenCheetah compare to TrainingPeaks or Strava?
Unlike proprietary platforms like TrainingPeaks or Strava, GoldenCheetah offers full open-source access and greater customization for data analysis. It excels in advanced metrics and local data processing but lacks real-time tracking and social features found in commercial alternatives. Its cross-platform flexibility makes it a preferred choice for users prioritizing data sovereignty.
What should I do if data import fails?
Verify that the file format matches supported types and check for corrupted data. Ensure the file path does not contain special characters. If issues persist, consult the FAQ section or GitHub issue tracker for troubleshooting guidance. Providing detailed error logs can help the community resolve compatibility problems.