A self-hosted, open-source dashboard for visualizing and analyzing personal Strava activity data.
Statistics for Strava is a self-hosted, open-source dashboard that provides detailed analytics and visualizations for your Strava activity data. It allows athletes to track their performance, gear usage, and fitness milestones with full control over their data. The platform offers features like heatmaps, segment analysis, and an AI-powered workout assistant to enhance training insights.
Athletes and fitness enthusiasts who use Strava and want deeper, customizable analytics without relying on third-party services. It's ideal for cyclists, runners, and multi-sport athletes who value data ownership and privacy.
Developers choose Statistics for Strava because it offers a privacy-focused, self-hosted alternative to Strava's native analytics with more detailed visualizations and control. Its open-source nature allows for customization, and features like gear tracking and AI insights provide unique value over basic Strava stats.
Self-hosted, open-source dashboard for your Strava data.
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Offers heatmaps, segment analysis, and gear tracking with interactive calendars, providing deeper insights than Strava's native stats as listed in the key features.
Self-hosted setup ensures full control over fitness data, aligning with the project's philosophy of avoiding third-party services for enhanced privacy.
Includes an AI workout assistant for personalized recommendations, adding unique value over basic analytics, as featured in the README.
Can be installed as a PWA on mobile devices for a native app-like experience, mentioned in the key features for convenience.
Requires Docker setup and ongoing server management, which may be a barrier for non-technical users, as indicated by the Docker image badges and documentation links.
Relies on Strava API pulls rather than real-time updates, potentially delaying data freshness compared to cloud-based solutions, though not explicitly addressed in the README.
As a self-hosted tool, it lacks extensive integrations or plugins found in larger fitness platforms, limiting scalability for advanced use cases.