Metadata-Version: 2.1
Name: workoutizer
Version: 0.6.4
Summary: Browser-based Sport Workout Organizer to analyze your Activities locally
Home-page: https://gitlab.com/fgebhart/workoutizer
Author: Fabian Gebhart
License: UNKNOWN
Description: # Workoutizer
        
        The Workoutizer is a simple web application for organizing your workouts and sports activities. It is designed to work
        locally on any UNIX-like system running Python.
        
        Track your activities to get an overview of your overall training, similar to platforms like
        [strava](https://www.strava.com/) or [garmin connect](https://connect.garmin.com/) - but without
        uploading all your sensitive health data to some 3rd party cloud.
        
        #### Features
        * Automatic import of Garmin `.fit` files and `.gpx` files
        * Dashboard overview page of all activities
        * render your activity gps data on different OSM maps
        * show either all activities of one sport or only one activity on the map
        * plots of activity specific data like: heart rate, pace, temperature, cadence and altitude
        * Integrate laps into both plots and maps
        * Connect plots and map via mouse hovering
        * Keyboard navigation
        * Add untracked activities manually via the GUI
        * Create and download `.gpx` files to share your activities
        * Add as many different sports as you want.
        
        
        ## Getting Started
        
        Install workoutizer
        ```shell script
        pip install workoutizer
        ```
        
        Initialize and run workoutizer
        ```shell script
        wkz init
        wkz run
        ```
        
        Note: This was tested on a Ubuntu-like Linux system only. Please
        [report issues](https://gitlab.com/fgebhart/workoutizer/-/issues) when installing workoutizer.
        
        Workoutizer comes bundled with some initial dummy activity data.
        
        In case you want to run workoutizer on a Raspberry Pi in your local network, follow the 
        [Raspberry Pi setup instructions](https://gitlab.com/fgebhart/workoutizer/-/tree/master/setup).
        
        ## Gallery 
        
         Dashboard             |  Sport Page
        :-------------------------:|:-------------------------:
        ![](https://i.imgur.com/FcB5JDl.png)  |  ![](https://i.imgur.com/6fwcEZX.png)
        
         Activity Page 1/2             |  Activity Page 2/2
        :-------------------------:|:-------------------------:
        ![](https://i.imgur.com/iuXhiab.png)  |  ![](https://i.imgur.com/7nV4Ks2.png)
        
        ## Thanks
        
        Thanks to the authors of projects I integrated into workoutizer:
        * [leaflet-ui](https://github.com/Raruto/leaflet-ui) by [Raruto](https://github.com/Raruto)
        * [django-colorfield](https://github.com/fabiocaccamo/django-colorfield) by [Fabio Caccamo](https://github.com/fabiocaccamo)
        * [python-fitparse](https://github.com/dtcooper/python-fitparse) by [dtcooper](https://github.com/dtcooper)
        * [leaflet-color-markers](https://github.com/pointhi/leaflet-color-markers) by [pointhi](https://github.com/pointhi)
        * [Font Awesome Icons](https://fontawesome.com/)
        
        Enjoy!
        
        ## Contributing
        
        Contributions are welcome! Feel free to pick an [open issue](https://gitlab.com/fgebhart/workoutizer/-/issues), open up 
        a pull request or file a new issue.
        
        For local development first clone the repo and install the `dev-requirements.txt` like
        ```shell script
        pip install -r setup/requirements/dev-requirements.txt
        ``` 
        Afterwards I recommend to run the tests:
        ```shell script
        pytest wizer/tests
        ```
        
        Note: You might need to install [gecko driver](https://github.com/mozilla/geckodriver/releases) for running the
        browser tests. 
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Framework :: Django
Classifier: Framework :: Django :: 2.2
Classifier: Framework :: Django :: 3.0
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: testing
