Software Alternatives, Accelerators & Startups

Handsontable VS Plotly

Compare Handsontable VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Handsontable logo Handsontable

JavaScript Spreadsheet

Plotly logo Plotly

Low-Code Data Apps
  • Handsontable Landing page
    Landing page //
    2023-10-05
  • Plotly Landing page
    Landing page //
    2023-07-31

Handsontable features and specs

  • User-Friendly Interface
    Handsontable provides an Excel-like interface that many users find intuitive and easy to navigate, reducing the learning curve for new users.
  • Feature-Rich
    It offers a wide range of features, including data validation, sorting, filtering, and support for complex data operations, making it suitable for various applications.
  • Customization
    Handsontable allows for high flexibility and customization, enabling developers to adapt it to their specific project requirements.
  • Performance
    Optimized for handling large datasets efficiently, thereby improving performance in data-intensive applications.
  • Integration
    Can be easily integrated with other frameworks and libraries, such as React, Angular, and Vue.js, offering a seamless development experience.
  • Active Development
    Handsontable is continuously maintained and updated with new features and improvements, ensuring it remains relevant and up-to-date.

Possible disadvantages of Handsontable

  • Cost
    Handsontable is not free for commercial use, which may be a limitation for small projects or individual developers with limited budgets.
  • Complexity
    For very simple applications, Handsontable may be overkill, adding unnecessary complexity and overhead.
  • Performance Limitations
    While optimized for large datasets, performance can still be an issue with extremely large or complex data manipulations.
  • Documentation
    Some users have reported that the documentation, while comprehensive, can sometimes be difficult to navigate or lacks clarity in certain areas.
  • Learning Curve
    Despite its user-friendly interface, developers might still face a learning curve when integrating it with complex applications.

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.

Handsontable videos

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

Add video

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 Handsontable and Plotly)
Data Grid
100 100%
0% 0
Data Visualization
0 0%
100% 100
JavaScript Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using Handsontable and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Handsontable Reviews

Best Free and Open-Source JavaScript Data Grid Libraries and Widgets
There are a lot of plugins available to add extra functionality to your grid. This includes things like auto-fill with drag-down and copy-down functionality. You can even perform Excel-like calculations by integrating HyperFormula, which is a powerful calculation engine developed by the Handsontable team.

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 should be more popular than Handsontable. 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.

Handsontable mentions (9)

  • Battle of the Rows: The Limits of Data Performance
    Welcome to our recently conducted series of performance benchmarks. Data grids are becoming more popular and increasingly important as they play a vital role in managing and visualizing large datasets, especially in data-intensive applications. In this article we are going to evaluate one of the most famous data grids: AG Grid, Handsontable, and RevoGrid. Our goal was to provide you with some insight into this... - Source: dev.to / 7 months ago
  • Recommendation on stack for a spreadsheet-like product
    Https://handsontable.com/ This is the best commercial library you can just buy and put it in your product. Source: over 2 years ago
  • [AskJS] Is there a good table js library?
    I've always liked https://handsontable.com/ but I'm not sure what the licensing is for something other than a personal project. Source: over 2 years ago
  • Ask HN: Who is hiring? (November 2022)
    Handsontable | Head of Engineering/Tech Lead | On-site/Hybrid/Remote within Poland | https://handsontable.com/ We are looking for a Head of Engineering for our portfolio of. - Source: Hacker News / over 2 years ago
  • Top JavaScript Spreadsheet Components for Data Management Apps
    Handsontable is primarily known as a JavaScript grid library for business apps but the decision to include it in this article is not accidental. Although this tool doesn't offer as many text formatting options as Excel, it includes quite a lot of features for manipulating data typical of spreadsheets. The list of the most widely used Handsontable features includes operations on rows & columns (moving, hiding,... - Source: dev.to / about 3 years ago
View more

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 Handsontable and Plotly, you can also consider the following products

AG Grid - The best HTML5 datagrid in the world

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.

ZingGrid - Built using web components, ZingGrid is a fully-featured, native solution for interactive, mobile-friendly JavaScript data grids and tables.

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

DataTables - DataTables is a plug-in for the jQuery Javascript library.

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