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Apple Numbers VS Plotly

Compare Apple Numbers VS Plotly and see what are their differences

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Apple Numbers logo Apple Numbers

Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone — or on a PC using iWork for iCloud. And it’s compatible with Apple Pencil.

Plotly logo Plotly

Low-Code Data Apps
  • Apple Numbers Landing page
    Landing page //
    2023-06-14
  • Plotly Landing page
    Landing page //
    2023-07-31

Apple Numbers features and specs

  • User-friendly Interface
    Apple Numbers has a clean and visually appealing interface that is intuitive and easy for users to navigate, especially for those who are already familiar with the Apple ecosystem.
  • Real-time Collaboration
    It offers real-time collaboration features, allowing multiple users to work on a spreadsheet simultaneously, making it ideal for team projects.
  • Beautiful Templates
    Numbers provides a variety of professionally designed templates for different needs, like budgets, invoices, and more, which can save time and help create visually stunning documents.
  • Seamless Integration with Apple Ecosystem
    Being part of the Apple ecosystem, Numbers integrates seamlessly with other Apple apps and services like iCloud, allowing for easy syncing across multiple Apple devices.
  • Free to Use
    Apple Numbers is free to download and use on MacOS and iOS devices, which can be a significant cost-saving over other paid spreadsheet software.

Possible disadvantages of Apple Numbers

  • Limited Compatibility
    Numbers is not as widely used as Microsoft Excel, leading to potential compatibility issues when sharing files with users who are not in the Apple ecosystem.
  • Feature Limitations
    While Numbers covers basic and most intermediate spreadsheet needs, it lacks some of the advanced features and functionalities available in Excel, which can be a drawback for power users.
  • Performance Issues with Large Files
    Numbers can struggle with performance when handling very large or complex spreadsheets, which can be a downside for users working with big data sets.
  • Learning Curve for Former Excel Users
    Users who are transitioning from Microsoft Excel to Numbers may face a learning curve because of differences in interface and functionalities.
  • Limited Third-Party Integration
    Numbers offers fewer third-party integrations compared to Excel, which can be restrictive for users who rely on various external tools and add-ins.

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 Apple Numbers

Overall verdict

  • Apple Numbers is an excellent choice for users within the Apple ecosystem who prioritize design and ease of use. It is particularly suitable for individuals and small teams who do not require the most advanced spreadsheet functionalities.

Why this product is good

  • Apple Numbers is a powerful spreadsheet application that is part of the iWork suite. It offers a user-friendly interface with a focus on design and aesthetics, making it especially appealing for users who need to create visually appealing spreadsheets. Numbers provides a range of templates and tools for data visualization, including interactive charts and graphs. Its seamless integration with other Apple products and services, like iCloud, allows for easy collaboration and access across different devices. However, it may lack some advanced features and compatibility that power users require when compared to alternatives like Microsoft Excel or Google Sheets.

Recommended for

  • Casual users who need to create simple to moderately complex spreadsheets.
  • Users who prefer visually appealing data presentations.
  • Individuals and teams using Apple devices that benefit from ecosystem integration.
  • Anyone who requires easy access and collaboration through iCloud.

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.

Apple Numbers videos

+ Add

Review of apple numbers (microsoft office excel alternative)

Plotly videos

+ Add

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 Apple Numbers and Plotly)

Apple Numbers

Plotly

Project Management
100 100%
Project Management
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Spreadsheets
100 100%
Spreadsheets
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Apple Numbers and Plotly

Apple Numbers Reviews

We have no reviews of Apple Numbers yet.
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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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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.

Apple Numbers mentions (0)

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

Plotly mentions (33)

  • 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 / 3 months 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 / 5 months 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 / 7 months 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 1 year ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.

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.

Google Sheets - Synchronizing, online-based word processor, part of Google Drive.

Chart.js - Easy, object oriented client side graphs for designers and developers.

LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.

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

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