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Google Sheets VS Plotly

Compare Google Sheets VS Plotly and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Google Sheets logo Google Sheets

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

Plotly logo Plotly

Low-Code Data Apps
  • Google Sheets Landing page
    Landing page //
    2022-01-17
  • Plotly Landing page
    Landing page //
    2023-07-31

Google Sheets features and specs

  • Accessibility
    Google Sheets is cloud-based, allowing users to access their documents from anywhere with an internet connection, on any device.
  • Collaboration
    Multiple users can work on the same spreadsheet simultaneously, with real-time updates and the ability to see each other's changes.
  • Integrations
    Easily integrates with other Google Workspace apps like Google Drive, Docs, and Forms, as well as third-party services.
  • Cost
    Basic features are available for free, with additional advanced features accessible through affordable Google Workspace subscriptions.
  • Functionality
    Offers a wide range of built-in functions and formulas, supporting complex calculations and data analysis.
  • Version History
    Keeps a detailed version history of every change made, allowing users to revert to previous versions as needed.

Possible disadvantages of Google Sheets

  • Feature Limitations
    Lacks some advanced features found in more robust spreadsheet applications like Microsoft Excel, such as certain data visualization and pivot table capabilities.
  • Data Limitations
    Less efficient at handling very large datasets, which can slow down user experience and affect performance.
  • Internet Dependence
    Requires a stable internet connection for optimal use, though offline capabilities are available but limited.
  • Privacy Concerns
    Storing sensitive data on cloud-based services can raise privacy and security concerns for some users.
  • Customization
    Limited customization options compared to some other spreadsheet software, particularly in terms of advanced scripting and macro functions.

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.

Google Sheets videos

+ Add

Excel Online vs. Google Sheets

More videos:

  • Tutorial - Google Sheets Quickstart - Easy Tutorial 2018
  • Review - Airtable vs. Google Sheets

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 Google Sheets and Plotly)

Google Sheets

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

Share your experience with using Google Sheets and Plotly. For example, how are they different and which one is better?
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Reviews

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

Google Sheets Reviews

HIGHLIGHTING DUPLICATES: GOOGLE SHEETS VS FLOOKUP
Highlighting your data is a very good way to get an overview of what your data looks like before performing destructive operations like removing duplicates or using that data for any other purpose. Unfortunately, at the time of writing this article, Google Sheets does not provide a predefined way of highlighting duplicates. However, with custom formulas and conditional...
Source: www.getflookup.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.
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.

Google Sheets mentions (0)

We have not tracked any mentions of Google Sheets yet. Tracking of Google Sheets 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 / 6 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 / 12 months 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 Google Sheets 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.

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

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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

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