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Plotly VS Sheets by Google

Compare Plotly VS Sheets by Google and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Sheets by Google logo Sheets by Google

Excel powered with automation and collaboration features.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Sheets by Google Landing page
    Landing page //
    2023-03-30

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.

Sheets by Google features and specs

  • Collaboration
    Google Sheets allows multiple users to work on the same document simultaneously, making it easy to collaborate in real-time.
  • Accessibility
    As a cloud-based service, Google Sheets is accessible from anywhere with an internet connection, and on any device, including laptops, tablets, and smartphones.
  • Integration
    Seamlessly integrates with other Google Workspace products like Google Docs, Google Slides, and Google Drive, enhancing productivity across different applications.
  • Functionality
    Supports a wide variety of functions and formulas similar to those available in traditional spreadsheet software, making it a powerful tool for data analysis.
  • Version History
    Offers a detailed version history, allowing users to track changes over time and revert to earlier versions if necessary.
  • Cost-effective
    Google Sheets is free for individual users and offers competitive pricing for business accounts, making it an affordable option for many users.

Possible disadvantages of Sheets by Google

  • Limited Offline Access
    While Google Sheets offers offline access, the functionality is limited compared to its online counterpart and requires prior setup.
  • Advanced Features
    Lacks some advanced features found in desktop spreadsheet software like Microsoft Excel, such as complex data visualization tools.
  • Performance
    May experience performance issues, such as slow loading times and lag, when handling extremely large datasets.
  • Privacy Concerns
    As with any cloud-based service, there can be privacy and data security concerns, particularly for sensitive or confidential data.
  • Dependency on Internet
    Requires a stable internet connection for optimal functionality, which can be a limitation in areas with poor connectivity.

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.

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

Sheets by Google videos

No Sheets by Google videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Sheets by Google)

Plotly

Sheets by Google

Data Visualization
100 100%
Data Visualization
0% 0
Productivity
0 0%
Productivity
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
No Code
0 0%
No Code
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 Plotly and Sheets by Google

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

Sheets by Google Reviews

We have no reviews of Sheets by Google yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Sheets by Google. While we know about 33 links to Plotly, we've tracked only 1 mention of Sheets by Google. 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.

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

Sheets by Google mentions (1)

  • Writing an AnythingLLM Custom Agent Skill to Trigger Make.com Webhooks
    If you know how to interface with APIs, this can be a game changer.. You can tell your LLM to do anything that you can access via a REST endpoint. But you know what would be even better? Not needing to do the API work yourself. There are automation services that do all the API work for you and let you automate and chain tasks from one API to another, such as Make.com, IFTTT and Zapier. These automation services... - Source: dev.to / 7 months ago

What are some alternatives?

When comparing Plotly and Sheets by Google, you can also consider the following products

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.

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

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

Retool - Build custom internal tools in minutes.

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

SpreadShare - Explore community-curated spreadsheets.

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