Metadata-Version: 2.1
Name: workoutizer
Version: 0.7.0
Summary: Browser-based Sport Workout Organizer to analyze your Activities locally
Home-page: https://github.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 in browser
        * Add untracked activities manually via the GUI
        * Create and download `.gpx` files to share your activities
        * Add as many different sports as you want.
        * Convenience CLI for installing, configuring, updating, ...
        
        
        ## Getting Started
        
        Install workoutizer
        ```shell script
        pip install workoutizer
        ```
        
        Initialize and run workoutizer
        ```shell script
        wkz init
        wkz run
        ```
        
        See the help description of the CLI with `wkz --help` and even subcommands, e.g.: `wkz manage --help`. 
        
        Note: This should work for any Linux and Mac system. Please
        [report any occurring issues](https://github.com/fgebhart/workoutizer/issues) when installing workoutizer.
        
        Workoutizer comes bundled with some initial toy activity data, which can be deleted easily on the Settings page.
        
        In case you want to run workoutizer on a Raspberry Pi in your local network, follow the 
        [Raspberry Pi setup instructions](https://github.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!
        
        ## Changelog
        
        See the [releases section](https://github.com/fgebhart/workoutizer/releases).
        
        For older releases have a look at the [archived project at gitlab](https://gitlab.com/fgebhart/workoutizer).
        
        ## Contributing
        
        Contributions are welcome! Feel free to pick an [open issue](https://github.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 development docker container:
        ```shell script
        ./run_docker.sh
        ```
        This will build the image, run the container and initialize workoutizer. Once up and running, run the tests
        ```shell script
        pytest wizer/tests/
        ```
        Once this was successful you are good to go.
        
        Note: The `browser_tests` cannot (yet) be ran from within the docker container, but it is possible to run them form your
        host system. You might need to install [gecko driver](https://github.com/mozilla/geckodriver/releases) though.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
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
