Statistics for Strava
A self-hosted, open-source dashboard that unlocks deep insights into your Strava activities, from gear wear to AI-powered workout tips.
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Self-host your Strava data with a full-featured, AI-powered dashboard that reveals deeper insights.
Core Features
- Comprehensive dashboard with charts and stats at a glance
- Monthly calendar view, gear tracking, and maintenance schedules
- AI workout assistant that suggests personalized adjustments
- Heatmaps, segment history, and milestone timeline
- Strava Rewind for a fun yearly recap
What It Can't Do
- •Requires Docker; initial data sync may take time; AI features need an OpenAI API key; not affiliated with Strava – respect their API rate limits.
Use Cases
- Fitness enthusiasts who want detailed analytics beyond Strava's default
- Cyclists and runners tracking gear mileage and maintenance
- Privacy-conscious users who prefer self-hosted data storage
Detailed Introduction
Statistics for Strava is a self-hosted web application that imports your Strava data and displays it through interactive dashboards, charts, calendars, heatmaps, and segment analyses. It goes beyond basic stats by offering gear maintenance tracking, Eddington numbers, milestones, a “Strava Rewind” recap, and an AI workout assistant that suggests personalized training adjustments. Built for privacy, all data stays on your own server. The app runs via Docker and integrates with Strava’s public API, giving you full control over your fitness history visualization.
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Getting Started
Download installer
Click the button above to download the installer for your system
Install the software
Double-click the downloaded installer and follow the prompts
Step 1: Install Docker and Docker Compose on your server
Step 2: Create a Strava API app and obtain client ID & secret
Step 3: Download the docker-compose.yml, fill in credentials, then run docker compose up -d
- Step 1: Install Docker and Docker Compose on your server
- Step 2: Create a Strava API app and obtain client ID & secret
- Step 3: Download the docker-compose.yml, fill in credentials, then run docker compose up -d
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Open Source Transparency
View GitHub SourceUninstall Info
Run docker compose down -v and delete the project folder to remove everything.
No Extra Dependencies
Ready to use after download. No additional runtime required.
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