🏃‍♂️ GPX Jogging Dashboard

An interactive Python Dash app to visualize, analyze, and explore your jogging or running sessions recorded as GPX files.

Features

Info Banner with total distance, duration, and average pace
Interactive Map View with route trace and start/stop markers
Elevation Profile with relative height and gradient fill
Speed Over Time plot with smoothing and average line
Deviation from Mean Speed to see pacing consistency
Pace Bar Chart showing per-kilometer pace breakdown

Project Structure

app.py                 # Main Dash application
gpx_files/             # Folder for storing GPX files
requirements.txt       # Required Python packages  (TODO!)
README.md              # This file

Getting Started

1. Clone the repository

git clone https://github.com/yourusername/gpx-jogging-dashboard.git
cd gpx-jogging-dashboard

2. Install dependencies

We recommend using a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
# TODO:
pip install -r ...

3. Run the app

python app.py

Then open your browser and go to:
http://127.0.0.1:8050

Uploading Your GPX File

Export your activity (e.g., from Strava, Garmin, etc.) as a .gpx file
Place the file into the gpx_files/ directory
Select it via the dropdown in the dashboard

Tech Stack

Dash (by Plotly) for building the UI and graphs
Pandas for data wrangling
Plotly Graph Objects & Express for advanced visuals
GPXPy for parsing .gpx files
Numpy for vectorized math and smoothing

Example GPX File

You can test the dashboard by placing any valid .gpx file in the gpx_files/ directory. Make sure it contains track points with elevation and time data.

To Do / Ideas

Heart rate support if present in GPX
Export graphs as images
Export as PDF report
Multi-run comparison

License

This project is open source under the MIT License.

Feedback / Contributions

Feel free to open issues or pull requests!
If you enjoy this project, a ⭐️ star is always appreciated.

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