Software Alternatives, Accelerators & Startups

Yummly VS Plotly

Compare Yummly VS Plotly and see what are their differences

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Yummly logo Yummly

Yummly is a recipe app. You search through lots of recipes, add the ones you like, and even create shopping lists based on the recipes you pick. You can save your recipes with one click and later organize them into collections.

Plotly logo Plotly

Low-Code Data Apps
Not present
  • Plotly Landing page
    Landing page //
    2023-07-31

Yummly features and specs

  • Personalized Recommendations
    Yummly offers personalized recipe suggestions based on your tastes, dietary preferences, and past behaviors, making it easier to find meals you'll love.
  • Wide Variety of Recipes
    The platform has a vast database of recipes from various cuisines and dietary needs, providing plenty of options for users.
  • Smart Shopping List
    Yummly enables users to create smart shopping lists directly from recipes, helping to simplify the grocery shopping process.
  • Integration with Grocery Delivery Services
    Yummly integrates with grocery delivery services, allowing users to order ingredients directly through the app.
  • Nutritional Information
    Each recipe includes detailed nutritional information, which can be helpful for users who are monitoring their diet.
  • User-Friendly Interface
    The app has a clean, intuitive design that makes it easy to navigate and use.

Possible disadvantages of Yummly

  • Subscription Cost
    Some features, such as advanced meal planning tools, are only available with a paid subscription, limiting access for free users.
  • Inaccurate Recipe Times
    Some users have reported that the cooking times listed on recipes can be inaccurate, causing potential issues during meal preparation.
  • Limited Offline Access
    The app requires an internet connection to access most features, which can be inconvenient for users without reliable connectivity.
  • Advertising
    While using the free version, users may encounter advertisements that can interrupt the browsing experience.
  • Variable Recipe Quality
    The quality of user-uploaded recipes can vary, which may affect the outcome of some meals.
  • Privacy Concerns
    Some users may have concerns about the amount of personal data the app collects to provide personalized recommendations.

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 Yummly

Overall verdict

  • Yes, Yummly is generally considered good for those seeking a comprehensive recipe and meal planning platform.

Why this product is good

  • Yummly offers a vast collection of recipes from various cuisines, contributed by both amateur and professional cooks.
  • The platform includes personalized recommendations, taking into consideration users' dietary preferences and restrictions.
  • Yummly provides detailed nutritional information for its recipes, which can be useful for health-conscious individuals.
  • Its user-friendly interface makes it easy to search and save favorite recipes, as well as create grocery lists.
  • The app's smart shopping list feature helps users efficiently plan their meals and buy ingredients.

Recommended for

  • Home cooks looking for new recipes to try.
  • People with dietary restrictions who need to filter recipes accordingly.
  • Individuals interested in meal planning and organized grocery shopping.
  • Anyone seeking to explore diverse culinary traditions and styles.

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.

Yummly videos

Best Cooking App || Yummly Review || 2019 || For iPhone and Android

More videos:

  • Tutorial - Yummly App For all Food Lovers: Review and Tutorial

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 Yummly and Plotly)
Recipes
100 100%
0% 0
Data Visualization
0 0%
100% 100
Food
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 Yummly and Plotly

Yummly Reviews

15 of the Best Meal Prep Apps to Make Cooking Easier
With an app like Yummly, you never have to struggle to find the perfect recipe for your next dinner. Instead of sifting through boring recipes all over the web, you can use their search filters to find exactly what you’re looking for. In fact, you can search for recipes based on holiday, type of cuisine, taste, diet, nutrition, allergy, cook time, techniques, and more. If...
Source: foodboxhq.com
5 Free Meal Planning Apps That Make Cooking During the Week Painless
While there's no calendar for meal planning, you can make collections of recipes. I tested it out, making a collection for one week, and saved all of my meals right there. It actually gave me a bit of freedom to mix it up if I needed to. All the snaps for Yummly.

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 more popular. 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.

Yummly mentions (0)

We have not tracked any mentions of Yummly yet. Tracking of Yummly recommendations started around Mar 2021.

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
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What are some alternatives?

When comparing Yummly and Plotly, you can also consider the following products

Paprika Recipe Manager - What is Paprika Recipe Manager? Paprika is an app that helps you organize your recipes, make meal plans, and create grocery lists. Using Paprika's built-in browser, you can save recipes from anywhere on the web.

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.

Mealime - Meal planning app with healthy meal plans

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

Listonic - We use cookies to give you the best online experience. By using our website you agree to our use of cookies in accordance with our cookie policy. Close. Add items super fast and deal with shopping like never before.

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.