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MUI X Data Grid VS Plotly

Compare MUI X Data Grid VS Plotly and see what are their differences

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MUI X Data Grid logo MUI X Data Grid

A fast and extensible React data table and React data grid, with filtering, sorting, aggregation, and more.

Plotly logo Plotly

Low-Code Data Apps
Not present

A fast and extensible React data table and React data grid, with filtering, sorting, aggregation, and more.

The MUI X Data Grid is a TypeScript-based React component that presents information in a structured format of rows and columns. It provides developers with an intuitive API for implementing complex use cases; and end users with a smooth experience for manipulating an unlimited set of data.

The Grid's theming features are designed to be frictionless when integrating with Material UI and other MUI X components, but it can also stand on its own and be customized to meet the needs of any design system.

The Data Grid is open-core: The Community version is MIT-licensed and free forever, while more advanced features require a Pro or Premium commercial license. See MUI X Licensing for complete details.

  • Plotly Landing page
    Landing page //
    2023-07-31

MUI X Data Grid features and specs

  • Rich Component Library
    MUI X offers a wide range of advanced components such as data grids, date pickers, and charts, which enhance the user interface and experience of complex applications.
  • Customizability
    The components in MUI X are highly customizable, allowing developers to style and configure them according to their specific application needs.
  • Performance
    MUI X components are designed with performance in mind, ensuring that even complex components like data grids run smoothly, which is crucial for large datasets.
  • Integration with Material UI
    MUI X seamlessly integrates with Material UI, providing a consistent design system and allowing developers to use both basic and advanced components together.
  • Community and documentation
    MUI X benefits from robust community support and comprehensive documentation, making it easier for developers to find solutions and best practices.

Possible disadvantages of MUI X Data Grid

  • Cost for Pro Components
    While MUI X offers some free components, access to the full suite of advanced components requires a subscription, which might be a limiting factor for startups or individual developers.
  • Complexity
    The complexity of the components can lead to a steeper learning curve, requiring more time and effort for new developers to get acquainted with the library.
  • Dependency on React
    MUI X is built on React, meaning it's not suitable for projects that use different frameworks, potentially limiting its adoption across diverse tech stacks.
  • Overhead for Small Projects
    For smaller projects, the extensive feature set of MUI X might be overkill, introducing unnecessary overhead in development and build processes.

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.

MUI X Data Grid videos

No MUI X Data Grid videos yet. You could help us improve this page by suggesting one.

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Plotly videos

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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 MUI X Data Grid and Plotly)

MUI X Data Grid

Plotly

Data Grid
100 100%
Data Grid
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Design Tools
100 100%
Design Tools
0% 0
Data Dashboard
6 6%
Data Dashboard
94% 94

User comments

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Reviews

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

MUI X Data Grid Reviews

  1. oliviertassinari
Using AG Grid in React: Guide and alternatives
In this guide, we introduced the basic functionalities of the ag-grid-react library and demonstrated how to use AG Grid to build and style a data grid in a React app. To compare alternatives to AG Grid, also built a similar data grid in TanStack Table, Glide Data Grid, and MUI Data Grid. Each library has a unique set of features and tradeoffs, so it’s important to choose the...
Source: blog.logrocket.com
The Best React Data Grid/Table Libraries with Material Design in 2023 - MRT Blog
AG Grid is also in a similar situation as MUI X DataGrid, where some of the features are only available in the paid Enterprise version. However, the free version is still very feature-rich and will take you very far in most projects. AG Grid is one of the few high-quality OSS projects out there where it is probably worth every penny to pay for the Enterprise version if you...
Source: www.material-react-table.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.

MUI X Data Grid mentions (0)

We have not tracked any mentions of MUI X Data Grid yet. Tracking of MUI X Data Grid recommendations started around Jun 2023.

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 / 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 MUI X Data Grid 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.

TanStack Table - Headless UI for building powerful tables & datagrids with TS/JS, React, Solid, Svelte and Vue

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

Handsontable - JavaScript Spreadsheet

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

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