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Chakra UI VS Plotly

Compare Chakra 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

Chakra UI logo Chakra UI

Simple, modular and accessible UI components for your React applications.

Plotly logo Plotly

Low-Code Data Apps
  • Chakra UI Landing page
    Landing page //
    2021-08-13
  • Plotly Landing page
    Landing page //
    2023-07-31

Chakra UI features and specs

  • Component Library
    Chakra UI provides a rich set of customizable and accessible components out of the box, which significantly speeds up the development process.
  • Theming
    Chakra UI offers a powerful theming and styling system. It allows developers to easily define and manage theme properties, leading to consistent design throughout the application.
  • Accessibility
    Components in Chakra UI are built with accessibility in mind. They come with built-in ARIA roles and keyboard navigation support, which makes it easier to build accessible applications.
  • Responsive Design
    Chakra UI facilitates responsive design through its style props and advanced responsive utilities, allowing for seamless adjustments across different screen sizes.
  • Ease of Use
    The API is intuitive and designed with simplicity in mind, making it user-friendly and easy to learn, even for developers who are new to UI frameworks.
  • Community and Documentation
    Chakra UI has an active community and comprehensive documentation, providing ample resources for troubleshooting and learning.

Possible disadvantages of Chakra UI

  • Bundle Size
    The library can add considerable size to your bundle, especially when using a large number of its components and utilities, which might affect performance.
  • Customization Limitations
    While Chakra UI is quite flexible, there might be some limitations when trying to implement highly specific or complex design requirements.
  • Learning Curve for Advanced Features
    Although basics are easy to grasp, mastering the more advanced features and customization options may require a deeper understanding and more time investment.
  • Dependency on Emotion
    Chakra UI relies on emotion.js for its styling engine, which means it brings in an additional dependency and could complicate using other styling solutions concurrently.
  • Potential Overhead
    Using a component library like Chakra UI could introduce overhead in projects where performance is highly critical or where only a small number of components is needed.

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 Chakra UI

Overall verdict

  • Yes, Chakra UI (v2.chakra-ui.com) is considered good.

Why this product is good

  • Chakra UI offers a set of modular and accessible components that significantly simplify the process of building a modern React application with a clean and consistent design.
  • It emphasizes accessibility, ensuring that applications built with Chakra UI are usable by as many people as possible.
  • Chakra UI is highly customizable, allowing developers to easily adjust the design system to meet the specific needs of their projects.
  • The documentation is comprehensive and well-organized, which makes it easy for developers to understand and implement the components.
  • The community around Chakra UI is active, and the library is frequently updated, reflecting a well-maintained project.

Recommended for

  • Developers who are building React applications and desire a library that provides a great balance between flexibility and ease of use.
  • Teams looking for a library that ensures accessibility and adheres to best practices in web development.
  • Projects that require a consistent design system with the ability to easily customize or override styles to fit specific branding needs.
  • Developers new to React who would benefit from an intuitive, component-driven approach to building UIs.

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.

Chakra UI videos

+ Add

React Forms Using Chakra UI - React Tutorial - Learn React in 2020 - React Component Library

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 Chakra UI and Plotly)

Chakra 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 Chakra UI and Plotly

Chakra UI Reviews

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
10 Best Free React UI Libraries in 2023
Chakra UI is another popular UI component library often used by React developers to design components. Similar to the previous two libraries, it is also an open-source project.
Source: www.wearedevelopers.com
11 Best Material UI Alternatives
Chakra UI provides pre-designed components and utility functions, allowing developers to create visually appealing and responsive websites. Developers can leverage Chakra UIโ€™s customizable and reusable components, such as buttons, forms, cards, and navigation elements, to design intuitive and accessible user interfaces.
Source: www.uxpin.com
React UI Components Libraries: Our Top Picks for 2023
Faster development: Instead of creating the code for every component, you can use a React UI component library such as MUI, Chakra UI, React Bootstrap, etc. They will expose you to multiple, ready to use components suitable for your design. This way, you can save time and develop software faster.
Source: kinsta.com
Top React component libraries (2021 edition)
Theming โ€” At the core of Chakra UI is a default theme to define color palette, type scale, font stacks, breakpoints, border-radius values for an application. Customized themes can then be layered on top of the default theme. Chakra UI also offers a framework to customize components using modifier styles that alter components based on specified properties or state.
Source: retool.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, Chakra UI should be more popular than Plotly. It has been mentiond 201 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.

Chakra UI mentions (201)

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 Chakra UI and Plotly, you can also consider the following products

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

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.

Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.

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

Next.js - A small framework for server-rendered universal JavaScript apps

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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