Software Alternatives & Startups

Strong.app VS Plotly

Compare Strong.app VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Strong.app logo Strong.app

Strenght training logger.

Plotly logo Plotly

Low-Code Data Apps
  • Strong.app Landing page
    Landing page //
    2021-09-30
  • Plotly Landing page
    Landing page //
    2023-07-31

Strong.app features and specs

  • User-Friendly Interface
    Strong.app offers an intuitive and clean user interface that makes it easy for users to navigate and use the app effectively.
  • Comprehensive Workout Tracking
    The app allows users to track various aspects of their workouts, including sets, reps, weight, and rest times, enabling detailed progress monitoring.
  • Customizable Workout Routines
    Users can create and customize their own workout routines, which allows for flexibility and personalization in their fitness plans.
  • Extensive Exercise Library
    Strong.app includes a large database of exercises with descriptions and animations, helping users perform movements correctly and discover new exercises.
  • Progress Visualization
    The app provides charts and graphs to visualize progress over time, helping users stay motivated and track their improvements.
  • Cloud Synchronization
    Workout data is synced across devices via the cloud, ensuring that progress is always up-to-date and accessible from different platforms.

Possible disadvantages of Strong.app

  • Cost
    While Strong.app offers a free version, access to premium features requires a subscription, which might be a deterrent for budget-conscious users.
  • Limited Integration
    The app has limited integration with other fitness and health tracking apps, which could be a drawback for users who want a more interconnected fitness ecosystem.
  • Data Entry
    Manual entry of workout data can be time-consuming, particularly for users performing complex routines with multiple exercises.
  • Learning Curve
    New users may experience a learning curve in getting accustomed to all the features and functionalities Strong.app offers.
  • No Guided Workouts
    The app lacks guided workout sessions, which might be a limitation for beginners who prefer step-by-step instructions.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly 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.

Strong.app videos

12 Strong - Movie Review

More videos:

  • Review - 12 Strong Movie Review from a Former Action Guy
  • Review - 12 STRONG MOVIE REVIEW (Starring Chris Hemsworth and Michael Shannon)
  • Review - THE BEST WORKOUT TRACKING APP 2018 -- "Strong"

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Strong.app and Plotly)
Health And Fitness
100 100%
0% 0
Data Visualization
0 0%
100% 100
Sport & Health
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

Share your experience with using Strong.app and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Strong.app and Plotly

Strong.app Reviews

9 Best Weightlifting Apps for Strength Training 2023 – Tried & Tested
The aptly named “Strong” is a simple but effective weightlifting app, offering an intuitive way to track and record your workouts. Available on Apple Watch as well as mobile devices, its value proposition is quite simple… keep it simple.
Source: fitnessdrum.com
10 best fitness tracker apps for Android
Strong: Exercise Gym Log is a gym log similar to FitNotes. You can input all of your exercise routines and track them over time. It includes some unique tools like a warm-up calculator and tips on how to improve strength from your previous numbers. It has a few extra features from something like FitNotes, but you sacrifice a little bit of ease of use in the process. The UI...

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

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.

Strong.app mentions (3)

  • Workout Tracker
    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
  • How to lose weight tho you hate intense workouts?
    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
  • I made a community sourced fitness routine database
    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

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    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
  • Python for Data Visualization: Best Tools and Practices
    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
  • Generative AI Powered QnA & Visualization Chatbot
    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
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
View more

What are some alternatives?

When comparing Strong.app and Plotly, you can also consider the following products

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.