Download a local Desktop app version here, works offline.
Or visit: Fit File Analyzer to use the analyzer. Does not store your .fit files
This open-source app creates a dashboard for .fit files generated by Garmin smartwatches. It allows you to view detailed statistics, downsampled charts, and heart rate zones — just drag and drop a .fit file to get started.
Note: This app only supports .fit files and has only been tested with running activity files recorded on smartwatches (e.g. Garmin, Coros, Suunto).
- Upload and parse
.fitfiles (tested with running activity files only) - Dynamic charts:
- Pace & Heart Rate
- Elevation
- Cadence
- Heart Rate Zones
- Downsampling logic reduces number of datapoints
- Choose to view data by 10s, 30s, 60s or 5m intervals
- Zoom & pan support on charts
- Lap table and session data overview
- React + Vite
- TailwindCSS for layout & styling
- Chart.js + react-chartjs-2 for visualizations
- Luxon for time formatting
- @garmin/fit-parser to decode
.fitfiles - Electron to create a desktop app
# Clone the repo
git clone https://github.com/your-username/fit-run-dashboard.git
cd fit-run-dashboard
# Install dependencies
npm install
# Start development server
npm run devThen open http://localhost:5173 in your browser and upload a .fit file.
# Create a preview
npm run electron
# Create desktop apps, make sure to run this as administrator
npm run dist
# Files will be created in the ./dist folderThis project is licensed under the MIT License — see the LICENSE file for details.
- Add support for metric vs imperial units (currently no checks on unit returned in .fit file)
- Automatically detect and handle non-running activities (e.g. cycling, hiking)
- Add lap-based interval highlighting
- Improve color themes or add dark/light mode switching
- Export graph images or data summaries
- Enhance error handling for invalid .fit files
- Compare two activities
- i18n - Multilanguage support
- a11y - Accessibility
Feel free to open a pull request or issue if you'd like to collaborate!
This project is released under the MIT License. Feel free to use, copy, modify, and share it however you like.
Everyone in the open-source running data community ✨