Software Alternatives, Accelerators & Startups

LifeSum VS Plotly

Compare LifeSum 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.

LifeSum logo LifeSum

Set a weight goal and we'll tell you how to reach it!

Plotly logo Plotly

Low-Code Data Apps
  • LifeSum Landing page
    Landing page //
    2023-02-03
  • Plotly Landing page
    Landing page //
    2023-07-31

LifeSum

Pricing URL
-
Release Date
2013 January
Startup details
Country
Sweden
City
Stockholm
Founder(s)
Henrik Torstensson
Employees
10 - 19

LifeSum features and specs

  • User-Friendly Interface
    LifeSum boasts an intuitive and visually appealing interface, making it easy for users to navigate through the app and track their dietary habits.
  • Personalized Plans
    The app offers customized meal and exercise plans based on individual health goals and dietary preferences, ensuring a tailored experience for each user.
  • Comprehensive Nutritional Information
    LifeSum provides detailed nutritional information for a vast database of foods, helping users make informed dietary choices.
  • Integration with Other Apps & Devices
    The app can sync with various other health and fitness apps, as well as wearable devices, providing a cohesive approach to health tracking.
  • Barcode Scanner
    The barcode scanning feature allows users to quickly log food items by scanning their packaging, saving time and enhancing accuracy.

Possible disadvantages of LifeSum

  • Premium Features Locked
    Many advanced features and personalized plans are only available through a paid subscription, limiting free users' experience.
  • Data Accuracy
    The app relies on user-entered data for tracking food and exercise, which can sometimes lead to inaccuracies or inconsistencies.
  • Limited Community Features
    Unlike some other health apps, LifeSum offers limited social or community features, which may be a drawback for users seeking peer support.
  • Overwhelming for Beginners
    New users might find the plethora of options and features a bit overwhelming at first, requiring some time to learn and adapt.
  • Calorie-Based Approach
    The app primarily focuses on calorie counting, which might not be suitable for users looking for alternative approaches to healthy eating.

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.

LifeSum videos

LIFESUM Worth Your Time?? | Lifesum App Review | How to use Lifesum Effectively

More videos:

  • Review - Which is Better? Lifesum vs. MyFitnessPal
  • Review - WHAT I EAT IN A DAY! / With Lifesum

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 LifeSum and Plotly)
Health And Fitness
100 100%
0% 0
Data Visualization
0 0%
100% 100
Weight Loss
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

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Reviews

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

LifeSum Reviews

Top Alternatives to MyFitnessPal
Lifesum offers a balanced approach to diet and exercise tracking with an attractive and user-friendly interface. It provides diet plans, meal suggestions, exercise logging, and health tips. The app's interface is visually appealing and easy to navigate, but it has a less accurate food database and occasional glitches, which can be frustrating for users seeking reliable...
Source: calsnaps.com
10 Best MyFitnessPal Alternatives
Lifesum, a comprehensive fitness and health application, aids in monitoring people's diet, exercise, and the state of their body. Moreover, this myfitnesspal alternative free which includes customized meal schedules, valuable tips and tricks to stay healthy, and regular workouts adapted for personal objectives. It is myfitnesspal alternative with barcode scanner.
The 8 Best Calorie Counter Apps
Lifesum is very easy to use. Its home page shows total calorie and macro intake and a breakdown of foods and calories per meal, which you can log manually or with a barcode scanner. You can also create food entries, meals, and recipes.

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 should be more popular than LifeSum. It has been mentiond 34 times since March 2021. 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.

LifeSum mentions (8)

  • From Low to High (52+) VO2 max in 14 months
    A last note to my progress is that I started using Lifesum to track calorie intake and macro nutrients after my weight loss, in order to find my balance and gain a more healthy relationship with eating - I learned so much from that. I was straight up practising malnutrition and had a very unhealthy fear of carbs and fat for a long time - but I also needed to loose that weight, maybe just not THAT fast 🙈. Source: over 3 years ago
  • Tracking tools recommendations?
    I don't have the premium version but if you're willing to shell the $, Lifesum has a beautiful interface, barcode scanning, recipes, and nutrition tracking info. You'll get macros at the free level. Source: almost 4 years ago
  • Fantastic Success, but Wrapping Up My Noom Experience Nonetheless. I'm Over It.
    *** For what it's worth, I'm switching to Lifesum for tracking calories. I looked at the majority of major apps, and this seems like it fits best for me. ***. Source: almost 4 years ago
  • Favourite calorie/meal tracker?
    I use Lifesum. Best user experience from all the apps I’ve used before. It’s paid but I think it’s pretty cheap ($23 /year) https://lifesum.com. Source: almost 4 years ago
  • I need help putting together a meal plan. What are the best subs to get help/other resources for that?
    I’ve only tried Lifesum and Yazio. Recommend them both. Source: about 4 years ago
View more

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 LifeSum and Plotly, you can also consider the following products

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.

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.

Cronometer - A big trend in today’s world is health and fitness, particularly in recording nutritional information. There are several options available to achieve this result.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Lose it! - Snap a photo of your food to get nutritional facts

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.