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Material UI VS Plotly

Compare Material UI 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

Material UI logo Material UI

A CSS Framework and a Set of React Components that Implement Google's Material Design

Plotly logo Plotly

Low-Code Data Apps
  • Material UI Landing page
    Landing page //
    2023-07-24
  • Plotly Landing page
    Landing page //
    2023-07-31

Material UI features and specs

  • Comprehensive Component Library
    Material UI offers a wide range of pre-built components that adhere to Google's Material Design guidelines, making it easier to build aesthetically pleasing user interfaces quickly.
  • Customizability
    Material UI components are highly customizable. Developers can easily adjust styles, themes, and behaviors to match specific project requirements.
  • Active Community and Support
    Material UI has a large and active community of developers. This means better support, frequent updates, and a wealth of resources like tutorials and documentation.
  • Improved Productivity
    The pre-built components and templates can greatly reduce the time and effort required to develop UI elements, thereby increasing development productivity.
  • Cross-Browser Compatibility
    Designed to work across multiple browsers, Material UI ensures a consistent user experience regardless of the platform.
  • Accessibility
    Material UI includes features that improve accessibility, conforming to WCAG guidelines to create more inclusive web applications.

Possible disadvantages of Material UI

  • Performance Overhead
    The inclusion of numerous pre-built components and styles can introduce performance overhead, especially in larger applications.
  • Learning Curve
    Despite its extensive documentation, new developers or those not familiar with Material Design may find it challenging to learn and implement Material UI effectively.
  • Dependency on Material Design
    Material UI strictly adheres to Material Design principles, which may not be suitable for all projects or could limit creative freedom for some designers.
  • Bundle Size
    Incorporating Material UI into a project can significantly increase the bundle size, affecting the overall load time of the web application.
  • Customization Complexity
    While highly customizable, the process of overriding default styles and components can sometimes be complex and cumbersome, requiring an in-depth understanding of both Material UI and CSS-in-JS.
  • Dependency on React
    Material UI is tightly integrated with React, meaning it can't be easily used in non-React projects, limiting its applicability.

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 Material UI

Overall verdict

  • Material UI is considered a strong choice for developers who want to create applications with a modern and clean look, leveraging Google's Material Design principles. Its rich set of components and strong community support make it a reliable option for both small and large projects.

Why this product is good

  • Material UI (MUI) is a widely-used React component library that implements Google's Material Design guidelines, providing a consistent and modern aesthetic for web applications.
  • It offers a comprehensive set of customizable components, making it easier for developers to build responsive and visually appealing UIs.
  • MUI is well-documented and has a large community, which means plenty of third-party resources, tutorials, and support are available.
  • The library is continuously updated and maintained, ensuring compatibility with the latest versions of React and web standards.

Recommended for

  • Developers looking for a ready-to-use set of components adhering to Material Design, without sacrificing flexibility.
  • Projects requiring a quick development turnaround where a polished and professional UI is needed.
  • Teams that prefer not to spend extensive time on UI design and implementation while still achieving a high-quality look.

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.

Material UI videos

+ Add

Getting Started With Material-UI For React (Material Design for React)

More videos:

  • Review - Code Review: react-material-ui-datatable

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 Material UI and Plotly)

Material UI

Plotly

Design Tools
100 100%
Design Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Developer Tools
100 100%
Developer Tools
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 Material UI and Plotly

Material UI Reviews

  1. oliviertassinari
The Best Component Libraries for React, Next.js & Tailwind UI
A: Many high-quality component libraries are open-source and free to use, such as Material UI and Chakra UI. Some libraries offer premium components or themes for a fee, but the free versions are often sufficient for many projects.
Source: gist.github.com
15 Top Bootstrap Alternatives For Frontend Developers in 2024
One of the highlighting features of this framework like Bootstrap is that it is based on Google's Material Design, offering a variety of reusable components that can be incorporated as needed. A major drawback of Material UI is its limitation to only React-based components. Additionally, it uses CSS-in-JS (a technique of writing CSS styling in JavaScript), which may not be...
Source: coursesity.com
React UI Components Libraries: Our Top Picks for 2023
Material-UI (MUI) is a fully loaded UI component library that offers a comprehensive set of UI tools to create and deploy new features at speed. It is one of the most powerful and popular UI component libraries out there with over 3.2 million downloads on npm a week, 78k stars on GitHub, 17k+ followers on Twitter, and 2.4k+ open-source contributors.
Source: kinsta.com
Top React component libraries (2021 edition)
For support, thereโ€™s plenty of free options like the Material-UI community, Stack Overflow, and GitHub. Material points technical questions to Stack Overflow, where more than 12.5k questions have been posted. GitHub is used exclusively as a bugs and feature requests tracker. On the paid side, Material-UI suggests purchasing a Tidelift subscription which offers โ€œflexibility...
Source: retool.com
Comparing popular React component libraries
Unlike Ant Design, Material-UI offers built-in methods to style components. makeStyles() is useful, especially when your code starts to get big; it helps you find the element to style more quickly and makes the code more readable. The downside is that readability may degrade as a component grows. But overall, Material-UI is a strong, highly customizable library.
Source: blog.logrocket.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 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, Material UI should be more popular than Plotly. It has been mentiond 76 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.

Material UI mentions (76)

  • JavaScript Awesome Package
    Material-UI - React components for faster and easier web development. - Source: dev.to / 5 months ago
  • Building Forms with zod and react-hook-form
    Material UI: Component library to style our form input fields. - Source: dev.to / about 3 years ago
  • Getting started with NextUI and Next.js
    These UI components and elements usually include Button, Navbar, Tooltip, Tab components, and more. Many UI libraries exist, including React Bootstrap, built on the popular Bootstrap CSS library, and Material-UI, one of the most popular UI component libraries for React. - Source: dev.to / over 3 years ago
  • Comparing React Component Libraries
    Material UI, the undisputed heavyweight champion on this list, was created according to Googleโ€™s Material Design guidelines. Launched in 2014, it currently has 71K stars, 23.9K forks, 2284 contributors, and 687K users on GitHub, indicating lots of active maintainers and a vibrant community. A large community also means that bugs are fixed faster. - Source: dev.to / almost 4 years ago
  • How to overwrite Material UI tooltip inline styles?
    I am currently developing a React component that leverages the Material UI Tooltip component. Within my component, I need to manually re-position the Mui Tooltip via the root popper element (MuiTooltip-popper). Source: about 4 years ago
View more

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
View more

What are some alternatives?

When comparing Material UI and Plotly, you can also consider the following products

Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions

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.

Materialize CSS - A modern responsive front-end framework based on Material Design

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

Ant Design - An enterprise-class UI design language and React implementation with a set of high-quality React components, one of best React UI library for enterprises

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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