Strong.app
Hevy
Fitbod
MyFitnessPal
JEFIT
Freeletics
Strava
FitNotes
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Strong.appPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, Plotly seems to be a lot more popular than Strong.app. While we know about 34 links to Plotly, we've tracked only 3 mentions of Strong.app. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm using Strava to track endurance work and strong.app for lifting. I'm pretty happy with Strong, but it is a subscription app if you want to save more than three custom workout routines (they also have some of the popular beginner programs pre-populated). Source: over 4 years ago
You should all workouts with a app like strong.app or any other you find. Fitbod also seems to have good stuff now. Check their reviews etc. Source: almost 5 years ago
Looks like a great app! I run 5/3/1 and this is perfect. Currently I use https://strong.app but I'd love to see a way to see my weekly volume per muscle group. Is that something you are planning to add on Hardy? - Source: Hacker News / about 5 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Hevy - Simple workout logging, insightful analytics, and a growing community of gym athletes.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Fitbod - Personalized Strength-Training powered by Machine Learning
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.