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SheetBest VS Plotly

Compare SheetBest VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

SheetBest logo SheetBest

Turn a Google SpreadSheet into a JSON Database API

Plotly logo Plotly

Low-Code Data Apps
  • SheetBest Landing page
    Landing page //
    2023-03-12
  • Plotly Landing page
    Landing page //
    2023-07-31

SheetBest features and specs

  • Ease of Use
    SheetBest provides a simple and intuitive interface to convert Google Sheets into APIs, making it accessible for users with minimal technical knowledge.
  • No-Code Solution
    It enables non-developers to create APIs without having to write any code, which can save time and reduce complexity.
  • Speed of Setup
    Allows for rapid deployment of APIs from Google Sheets, enabling quicker integration and faster project delivery.
  • Cost-Effective
    Offers a cost-effective solution for small to medium-sized projects that might not need a full-fledged backend.
  • Customization Options
    Provides options to customize the API endpoints based on specific needs, offering flexibility in data handling.

Possible disadvantages of SheetBest

  • Limited Functionality
    While it covers basic needs, it might lack advanced features and capabilities compared to full-fledged API management tools and services.
  • Performance
    Performance might be limited by the constraints of Google Sheets as a data source, potentially impacting scalability.
  • Data Sensitivity
    Using Google Sheets as a backend for sensitive data could raise security and compliance concerns, as Sheets are not designed to be a secure database.
  • Dependency on Google Sheets
    Relies heavily on Google Sheets, so any issues or limitations with Sheets (such as API rate limits) directly affect the service.
  • Not Suitable for Complex Applications
    May not be adequate for complex applications that require robust data manipulation, high concurrency, or extensive relational data operations.

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 SheetBest

Overall verdict

  • SheetBest is a good choice for developers and non-developers alike who are looking for a quick and uncomplicated way to turn spreadsheets into RESTful APIs. It is particularly useful for small projects or prototyping, where a full-fledged database might be overkill.

Why this product is good

  • SheetBest is a tool that simplifies the process of using Google Sheets as a makeshift database. It allows users to easily convert Google Sheets into JSON API endpoints without requiring complex setup, making data accessible and manipulable programmatically.

Recommended for

  • Developers seeking a simple database solution for web or mobile apps.
  • Anyone looking for an easy way to expose spreadsheet data as an API.
  • Small businesses or startups that need lightweight data management solutions.

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.

SheetBest videos

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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 SheetBest and Plotly)

SheetBest

Plotly

API Tools
100 100%
API Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Google Sheets
100 100%
Google Sheets
0% 0
Charting Libraries
0 0%
Charting Libraries
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 SheetBest and Plotly

SheetBest Reviews

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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 thatโ€™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 a lot more popular than SheetBest. While we know about 34 links to Plotly, we've tracked only 3 mentions of SheetBest. 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.

SheetBest mentions (3)

  • Google sheets API.
    Have you considered using a tool to turn your Spreadsheet into API like restsheet.com, sheet2api.com, sheetson.com, or sheet.best? Source: about 3 years ago
  • How to add data to Google sheet with help of API?
    Use a paid wrapper like sheet.best or sheety.co. Much easier and robust from my experience and the free plans might be enough anyways. Source: over 4 years ago
  • How to Turn Google Sheets into a REST API and Use it with a React Application
    // Submit Handler Function SubmitHandler = e => { e.preventDefault(); console.log(this.state); http://axios.post('https://sheet.best/api/sheets/a6e67deb-2f00-43c3-89d3-b331341d53ed', this.state) .then(response => { console.log(response); }) }. - Source: dev.to / almost 5 years ago

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 / 4 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!๐Ÿค“
    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 / over 1 year 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 SheetBest and Plotly, you can also consider the following products

Sheety - Turn any Google sheet into an API instantly, for free. Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime. Neat

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.

Sheetsu - Turn Google Spreadsheet into API

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

Sheet 2 Site - Generate a website from ๐Ÿ“— Google Sheets

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.

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