Metadata-Version: 2.1
Name: workoutizer
Version: 0.24.0
Summary: 🏋️ Browser based Sport and Workout Organizer 🏃‍♀️
Home-page: https://github.com/fgebhart/workoutizer
Author: Fabian Gebhart
License: MIT
Description: # Workoutizer
        
        [![PyPI](https://badge.fury.io/py/workoutizer.svg)](https://badge.fury.io/py/workoutizer)
        [![Python](https://img.shields.io/pypi/pyversions/workoutizer.svg?style=plastic)](https://badge.fury.io/py/workoutizer)
        [![Build Status](https://github.com/fgebhart/workoutizer/actions/workflows/matrix_test.yml/badge.svg)](https://github.com/fgebhart/workoutizer/actions/workflows/matrix_test.yml)
        [![Setup on Raspberry Pi](https://github.com/fgebhart/workoutizer/actions/workflows/raspberry_pi_test.yml/badge.svg)](https://github.com/fgebhart/workoutizer/actions/workflows/raspberry_pi_test.yml)
        [![Coverage Badge](https://raw.githubusercontent.com/fgebhart/workoutizer/master/.github/badges/coverage.svg)](https://raw.githubusercontent.com/fgebhart/workoutizer/master/.github/badges/coverage.svg)
        [![Downloads](https://img.shields.io/pypi/dm/workoutizer.svg?label=Pypi%20downloads)](https://pypi.org/project/workoutizer/)
        
        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
        * Automatic naming of activities based on daytime, sport and geo location
        * Render your activity gps data on different OSM maps
        * Plot your activity specific data e.g. heart rate, pace, temperature, cadence and altitude
        * Integrate laps into both plots and maps
        * Connected plots and map via mouse hovering
        * Find sections with highest speed and max altitude gain using [sportgems](https://github.com/fgebhart/sportgems) and
          highlight on map
        * Add untracked activities manually via the GUI
        * Export activities as `.gpx` files
        * Add as many different sports as you want
        
        
        ## Status
        
        Workoutizer is still in a somewhat experimental phase. Things might change a lot from one version to another. However,
        I'm happy to receive bug reports and feedback.
        
        
        ## Getting Started
        
        Install workoutizer using pip
        ```
        pip install workoutizer
        ```
        
        Initialize workoutizer to provide some demo data and run it:
        ```
        wkz init --demo
        wkz run
        ```
        
        See the help description of the CLI with `wkz --help` and subcommands, e.g.: `wkz manage --help`. 
        
        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/main/setup).
        
        
        ## Gallery 
        
         Dashboard             |  Sport Page
        :-------------------------:|:-------------------------:
        ![](https://i.imgur.com/3CUCGC8.png)  |  ![](https://i.imgur.com/p5FcrHz.png)
        
         Activity Page 1/2             |  Activity Page 2/2
        :-------------------------:|:-------------------------:
        ![](https://i.imgur.com/FnVFz9P.png)  |  ![](https://i.imgur.com/zp8iQcm.png)
        
        
        ## Changelog
        
        See [Changelog](https://github.com/fgebhart/workoutizer/blob/main/CHANGELOG.md).
        
        
        ## Contributing
        
        Contributions are welcome - check out the [Contribution Guidelines](https://github.com/fgebhart/workoutizer/blob/main/CONTRIBUTING.md).
        
        
        ## Thanks
        
        Libraries and other tools used by 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/)
        * [Paper-Dashboard Pro](https://www.creative-tim.com/product/paper-dashboard-2-pro) by [Creative Tim](https://www.creative-tim.com/)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Framework :: Django
Classifier: Framework :: Django :: 3.0
Classifier: Framework :: Django :: 3.2
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: testing
