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https://github.com/fgebhart/workoutizer
:weight_lifting: Browser based Sport and Workout Organizer :running_woman:
https://github.com/fgebhart/workoutizer
activity bokeh django garmin leaflet plots python raspberry-pi sport
Last synced: about 2 months ago
JSON representation
:weight_lifting: Browser based Sport and Workout Organizer :running_woman:
- Host: GitHub
- URL: https://github.com/fgebhart/workoutizer
- Owner: fgebhart
- License: mit
- Archived: true
- Created: 2019-09-19T08:51:20.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2024-01-07T18:22:33.000Z (10 months ago)
- Last Synced: 2024-09-21T06:05:06.914Z (about 2 months ago)
- Topics: activity, bokeh, django, garmin, leaflet, plots, python, raspberry-pi, sport
- Language: Python
- Homepage:
- Size: 4.35 MB
- Stars: 61
- Watchers: 7
- Forks: 10
- Open Issues: 8
-
Metadata Files:
- Readme: Readme.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# 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)
[![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://pepy.tech/badge/workoutizer/month)](https://pepy.tech/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 no longer actively maintained. Use it with caution and feel free to fork it.
## 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/)