Software Alternatives, Accelerators & Startups

Eat This Much VS Plotly

Compare Eat This Much 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.

Eat This Much logo Eat This Much

Eat This Much is an app that helps with meal planning for the week or the month.

Plotly logo Plotly

Low-Code Data Apps
  • Eat This Much Landing page
    Landing page //
    2023-09-23
  • Plotly Landing page
    Landing page //
    2023-07-31

Eat This Much features and specs

  • Customizable Meal Plans
    Eat This Much allows users to create meal plans tailored to their dietary preferences, calorie goals, and nutritional needs. This customization aids in achieving personal health and fitness objectives.
  • Automation
    The app automatically generates meal plans and grocery lists, saving users time and effort in planning meals and shopping.
  • Nutritional Information
    Each meal and recipe comes with detailed nutritional information, helping users stay informed about their intake.
  • Recipe Variety
    Eat This Much offers a diverse range of recipes, catering to different cuisines and dietary restrictions such as vegan, keto, paleo, and gluten-free.
  • User-Friendly Interface
    The app features an intuitive and easy-to-navigate interface, making meal planning accessible even for beginners.

Possible disadvantages of Eat This Much

  • Cost
    While Eat This Much offers a free version, many advanced features require a subscription, which might be a barrier for some users.
  • Limited Customization for Free Users
    The free version has limited customization options for meal plans, which may restrict users from fully tailoring their dietary needs.
  • Complex Recipes
    Some recipes can be complex and time-consuming, which may not suit users looking for quick and simple meal options.
  • Ingredient Availability
    Not all ingredients listed in the app's recipes may be locally available or easy to find, which can pose a challenge for some users.
  • Dependence on Internet
    The app requires an internet connection for generating meal plans and accessing recipes, limiting its usability in offline scenarios.

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 Eat This Much

Overall verdict

  • Overall, Eat This Much is a good tool for individuals looking to streamline their meal planning process and achieve their nutritional goals. Its flexibility and customization options make it a valuable resource for various dietary needs.

Why this product is good

  • Eat This Much is a meal planning website designed to help users create personalized meal plans based on their dietary preferences, calorie goals, and nutritional needs. It uses algorithms to generate meal suggestions that can save time and reduce the stress of deciding what to eat. The site is particularly useful for those who want to control portions, track calories, or adhere to specific diets such as keto, vegan, or paleo.

Recommended for

  • Individuals looking to lose, maintain, or gain weight through controlled meal planning.
  • Busy people who want to save time on planning meals and grocery shopping.
  • Those adhering to specific diets such as ketogenic, vegan, vegetarian, or paleo.
  • People who are new to meal prepping and need guidance on portion control and nutrient balance.

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.

Eat This Much videos

Eat This Much Review » Most Comprehensive (NOT an Affiliate)

More videos:

  • Review - Weekly Meal Planning? EAT THIS MUCH REVIEW | #stayclever
  • Review - Eat This Much Review

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 Eat This Much 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 Eat This Much 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 Eat This Much and Plotly

Eat This Much Reviews

15 of the Best Meal Prep Apps to Make Cooking Easier
You’re able to customize your eating preferences, whether you’re vegan, paleo, or something else. Eat This Much also allows you to add the items already in your pantry. With this feature, their algorithm will suggest recipes based on what you already have to help reduce food waste. Once you’ve chosen your desired recipes, an automatic grocery list is created. You can start...
Source: foodboxhq.com

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

Eat This Much might be a bit more popular than Plotly. We know about 49 links to it since March 2021 and only 34 links to Plotly. 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.

Eat This Much mentions (49)

  • I would like to lose weight-
    If you do just want to dive into something, then I would suggest starting with a calorie target of 10-12 calories per current lb of bodyweight. So, if you weigh 170 lbs for example, your calorie budget would fall between 1700-2040 calories. It is always best to start at the higher end, then adjust based on 2 weeks of consistency with it. I would recommend aiming for 0.7+ grams of protein per lb of body weight, and... Source: about 3 years ago
  • Losing fat short girls?!
    PS: you asked the other poster about recipe sites. If I look for inspiration I love eatthismuch.com. Because I can enter a calorie target, what I like and dont like, and it will show me ideas. Only use it for single meals though, planning whole weeks I find a bit teadious, but if that gets you rolling go for it :D. Source: about 3 years ago
  • How do you gain weight with this thing?!
    I use tdeecalculator.net to figure out what my intake should be and then plug that into eatthismuch.com to help me figure out foods to eat. Unfortunately, there is no option to take away acid reflux meals or meals with dairy, but if you make your meals, it's easy to not add those things (ex. It may say eat a breakfast omelet with the works, but I'll make an egg white omelet with non-triggering veggies and no... Source: over 3 years ago
  • Healthy calories off the bike to stop weight from dropping too low?
    You can then see the amount of calories you need per day to maintain/bulk/cut weight. For the calories and what to eat. You can use eatthismuch.com. You just put the amount of calories and how many meals per day you have and it will generate a day for you. lunch, dinner, snacks. Etc For this to properly work, you will have to start counting calories... Use myfitnesspal, loseit, chronometer, etc as apps to log in... Source: over 3 years ago
  • What are some really useful websites that most people don't know about?
    Eatthismuch.com people use it for dieting but it has recipes for all kinds of foods- healthy or not and it can meal plan for you. You put in the amount of calories you want and how many meals you want it to be in and it picks out food for you. But you can also just browse through the recipes too. Source: over 3 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 Eat This Much 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...

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

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.