https://github.com/alexandroskyriakakis/strongappanalytics

Analytics and Charts for your fitness log exported from the Strong App (AppStore/PlayStore).
https://github.com/alexandroskyriakakis/strongappanalytics

chartjs data-analysis data-representation fitness-log nodejs pyplot python-analytics react rsuitejs strong strong-app

Last synced: about 1 month ago
JSON representation

Analytics and Charts for your fitness log exported from the Strong App (AppStore/PlayStore).

• Host: GitHub
• URL: https://github.com/alexandroskyriakakis/strongappanalytics
• Owner: AlexandrosKyriakakis
• License: mit
• Created: 2021-09-08T13:31:15.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-01-28T15:44:28.000Z (over 2 years ago)
• Last Synced: 2025-04-04T19:50:51.303Z (about 1 month ago)
• Topics: chartjs, data-analysis, data-representation, fitness-log, nodejs, pyplot, python-analytics, react, rsuitejs, strong, strong-app
• Language: JavaScript
• Homepage: https://strongappanalytics.web.app
• Size: 1.47 MB
• Stars: 38
• Watchers: 2
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml

Awesome Lists containing this project

README

        
# Strong App Analytics

## Website

First Release of our Website [https://strongappanalytics.web.app/](https://strongappanalytics.web.app/)

1. Open the [Site](https://strongappanalytics.web.app/)

![](https://github.com/AlexandrosKyriakakis/StrongAppAnalytics/raw/main/img/a.png)

2. Upload your Strong App Data

![](https://github.com/AlexandrosKyriakakis/StrongAppAnalytics/raw/main/img/b.png)

![](https://github.com/AlexandrosKyriakakis/StrongAppAnalytics/raw/main/img/c.png)

3. Select the workout to analyse

![](https://github.com/AlexandrosKyriakakis/StrongAppAnalytics/raw/main/img/d.png)

4. Enjoy the Charts!

![](https://github.com/AlexandrosKyriakakis/StrongAppAnalytics/raw/main/img/e.png)

## How to use the prototype

1. Open a terminal

2. run `git clone https://github.com/AlexandrosKyriakakis/StrongAppAnalytics.git`

3. run `cd StrongAppAnalytics` 

4. replace the file `strong.csv` in folder `./Data/strong.csv` with your own file extracted from the Strong App

5. run `make`

6. Choose the Exercise you want

7. Choose the Chart you want

8. Enjoy

## TODO

1. Make the dates look better

2. Add commentary to the Charts

3. Add more useful Charts 

4. Publish the Website to the Strong App Community