107 lines
2.4 KiB
Markdown
107 lines
2.4 KiB
Markdown
# 🏃♂️ GPX Jogging Dashboard
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An interactive Python Dash app to visualize, analyze, and explore your jogging or running sessions recorded as GPX files.
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---
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## Features
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- **Interactive Map View** with route trace and start/stop markers
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- **Info Banner** with total distance, duration, and average pace
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- **Elevation Profile** with relative height and gradient fill
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- **Speed Over Time** plot with smoothing and average line
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- **Deviation from Mean Speed** to see pacing consistency
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- **Pace Bar Chart** showing per-kilometer pace breakdown
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---
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## Project Structure
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```
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app.py # Main Dash application
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assets/ # CSS and styling
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data/ # Folder for storing GPX files
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utils.py # Optional helper functions
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requirements.txt # Required Python packages
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README.md # This file
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```
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---
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## Getting Started
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### 1. Clone the repository
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```bash
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git clone https://github.com/yourusername/gpx-jogging-dashboard.git
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cd gpx-jogging-dashboard
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```
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### 2. Install dependencies
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We recommend using a virtual environment:
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```bash
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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# TODO:
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pip install -r ...
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```
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### 3. Run the app
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```bash
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python app.py
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```
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Then open your browser and go to:
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[http://127.0.0.1:8050](http://127.0.0.1:8050)
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---
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## Uploading Your GPX File
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1. Export your activity (e.g., from Strava, Garmin, etc.) as a `.gpx` file
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2. Place the file into the `gpx_files/` directory
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3. Select it via the dropdown in the dashboard
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---
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## Tech Stack
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- **Dash** (by Plotly) for building the UI and graphs
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- **Pandas** for data wrangling
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- **Plotly Graph Objects & Express** for advanced visuals
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- **GPXPy** for parsing `.gpx` files
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- **Numpy** for vectorized math and smoothing
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---
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## Example GPX File
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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.
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---
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## To Do / Ideas
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- [ ] Heart rate support if present in GPX
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- [ ] Export graphs as images
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- [ ] Export as PDF report
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- [ ] Multi-run comparison
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---
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## License
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This project is open source under the [MIT License](LICENSE).
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---
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## Feedback / Contributions
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Feel free to open issues or pull requests!
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If you enjoy this project, a ⭐️ star is always appreciated.
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