react-table vs react-virtualized vs ag-grid-react vs @mui/x-data-grid-premium vs react-data-grid vs handsontable vs mui-datatables
React Data Grid Libraries Comparison
1 Year
react-tablereact-virtualizedag-grid-react@mui/x-data-grid-premiumreact-data-gridhandsontablemui-datatablesSimilar Packages:
What's React Data Grid Libraries?

These libraries provide powerful data grid functionalities for React applications, enabling developers to display, manipulate, and interact with large datasets efficiently. They offer various features such as sorting, filtering, pagination, and editing capabilities, making them suitable for applications that require robust data handling. Each library has its unique strengths, catering to different use cases and developer preferences, from lightweight solutions to feature-rich grids.

Package Weekly Downloads Trend
Github Stars Ranking
Stat Detail
Package
Downloads
Stars
Size
Issues
Publish
License
react-table1,563,90826,641940 kB289-MIT
react-virtualized1,386,23926,8472.24 MB15 months agoMIT
ag-grid-react704,21714,113649 kB1165 days agoMIT
@mui/x-data-grid-premium260,5045,3131.54 MB1,5463 days agoSEE LICENSE IN LICENSE
react-data-grid210,6387,311402 kB6021 days agoMIT
handsontable153,67221,14620.8 MB4142 months agoSEE LICENSE IN LICENSE.txt
mui-datatables63,3892,717585 kB646-MIT
Feature Comparison: react-table vs react-virtualized vs ag-grid-react vs @mui/x-data-grid-premium vs react-data-grid vs handsontable vs mui-datatables

Performance

  • react-table:

    Performance is highly dependent on implementation, as it is a headless library. Developers can optimize rendering based on their specific use case.

  • react-virtualized:

    Excels in performance for large datasets by rendering only the visible rows and columns, significantly reducing the rendering load.

  • ag-grid-react:

    Designed for high performance, it can efficiently manage large datasets with features like row virtualization and optimized rendering strategies, making it suitable for enterprise applications.

  • @mui/x-data-grid-premium:

    Offers optimized performance with features like virtualization and efficient rendering, allowing it to handle large datasets smoothly without sacrificing speed.

  • react-data-grid:

    Optimized for performance with features like row virtualization, making it suitable for handling larger datasets without significant lag.

  • handsontable:

    Performance is good for moderate datasets, but it may struggle with very large datasets due to its spreadsheet-like features that require more resources.

  • mui-datatables:

    Provides decent performance for small to medium datasets, but may not scale well for very large datasets due to its reliance on DOM manipulation.

Customization

  • react-table:

    Extremely customizable as a headless library, allowing developers to define their own rendering logic and styles, providing maximum flexibility.

  • react-virtualized:

    Customization is focused on performance, allowing developers to create optimized components, but may require more effort to implement complex features.

  • ag-grid-react:

    Extensive customization options, including custom cell renderers, editors, and themes, providing flexibility for complex applications that require unique features.

  • @mui/x-data-grid-premium:

    Highly customizable with support for custom cell renderers, themes, and styling, allowing developers to create a tailored user experience that fits their application's design.

  • react-data-grid:

    Customizable with support for custom renderers and editors, allowing developers to tailor the grid to their specific needs without much overhead.

  • handsontable:

    Offers customization for cell types and validations, but may be limited compared to other libraries for deeper customization of grid behavior.

  • mui-datatables:

    Provides basic customization options for styling and features, but may not offer as much flexibility as other libraries for advanced use cases.

Ease of Use

  • react-table:

    Requires more setup and understanding of its headless approach, which may pose a challenge for beginners but offers great flexibility for experienced developers.

  • react-virtualized:

    Has a steeper learning curve due to its focus on performance optimizations, but provides powerful tools for developers familiar with virtualization concepts.

  • ag-grid-react:

    Offers a rich set of features but may have a steeper learning curve due to its extensive capabilities, which can be overwhelming for beginners.

  • @mui/x-data-grid-premium:

    User-friendly with a straightforward API, making it easy to integrate and use within Material-UI based applications, suitable for developers of all skill levels.

  • react-data-grid:

    User-friendly with a simple API, making it accessible for developers looking for a straightforward grid solution without complex configurations.

  • handsontable:

    Intuitive for users familiar with spreadsheets, making it easy to adopt for applications that require spreadsheet-like functionality.

  • mui-datatables:

    Very easy to set up and use, with built-in features that require minimal configuration, making it ideal for quick implementations.

Feature Set

  • react-table:

    Focuses on flexibility and customization, allowing developers to implement features as needed, but requires more effort to build out a complete feature set.

  • react-virtualized:

    Primarily focused on performance optimization, it provides essential grid features but may require additional work to implement advanced functionalities.

  • ag-grid-react:

    Comprehensive feature set including grouping, pivoting, and custom cell rendering, making it ideal for enterprise applications with complex data requirements.

  • @mui/x-data-grid-premium:

    Includes advanced features like server-side pagination, grouping, and filtering, making it suitable for applications that require robust data handling capabilities.

  • react-data-grid:

    Provides essential grid features with the ability to extend functionality through custom components, making it versatile for various applications.

  • handsontable:

    Rich feature set for spreadsheet functionalities, including data validation and formula support, ideal for applications that mimic Excel behavior.

  • mui-datatables:

    Offers essential features like sorting, filtering, and pagination out of the box, suitable for applications that need basic grid functionalities without complexity.

Community and Support

  • react-table:

    Large community with extensive resources, documentation, and examples available, making it easy to find solutions and support for various use cases.

  • react-virtualized:

    Good community support with comprehensive documentation, but may require more effort to find specific solutions due to its specialized focus.

  • ag-grid-react:

    Strong community support with extensive documentation, tutorials, and a dedicated forum for addressing user queries and issues.

  • @mui/x-data-grid-premium:

    Backed by the Material-UI community, offering good documentation and support, with an active community for troubleshooting and enhancements.

  • react-data-grid:

    Active community with a growing number of contributors, providing support through GitHub and documentation, making it easier to find help.

  • handsontable:

    Has a supportive community with decent documentation, but may not be as extensive as larger libraries, which can affect troubleshooting.

  • mui-datatables:

    Smaller community compared to others, but still offers good documentation and examples for getting started quickly.

How to Choose: react-table vs react-virtualized vs ag-grid-react vs @mui/x-data-grid-premium vs react-data-grid vs handsontable vs mui-datatables
  • react-table:

    Select react-table if you prefer a headless approach to building tables, providing maximum flexibility and control over rendering. It is great for developers who want to create highly customized table components without the overhead of a full-featured grid.

  • react-virtualized:

    Opt for react-virtualized if performance is a priority, especially when dealing with large lists or tables. It provides virtualization capabilities to render only visible rows, significantly improving rendering speed and efficiency.

  • ag-grid-react:

    Choose ag-Grid if you require a comprehensive feature set and performance optimizations for large datasets. It supports complex use cases, including enterprise-level features like row grouping, pivoting, and custom cell rendering.

  • @mui/x-data-grid-premium:

    Opt for this package if you need a highly customizable data grid that integrates seamlessly with Material-UI components. It is ideal for applications that require a modern UI and advanced features like server-side pagination and grouping.

  • react-data-grid:

    Choose react-data-grid for a lightweight and flexible grid solution that allows for easy customization and integration with various data sources. It is ideal for applications that require a simple yet effective data grid.

  • handsontable:

    Select Handsontable if you need a spreadsheet-like experience with Excel-like features such as data validation and formula support. It is perfect for applications that require a familiar interface for users who are accustomed to working with spreadsheets.

  • mui-datatables:

    Use mui-datatables for a quick and easy setup with built-in features like sorting, filtering, and pagination. It is suitable for projects that need a straightforward solution without extensive customization.

README for react-table

React Table v7

Looking for the latest version?

Visit react-table-v7.tanstack.com for docs, guides, API and more!

Quick Features

  • Lightweight (5kb - 14kb+ depending on features used and tree-shaking)
  • Headless (100% customizable, Bring-your-own-UI)
  • Auto out of the box, fully controllable API
  • Sorting (Multi and Stable)
  • Filters
  • Pivoting & Aggregation
  • Row Selection
  • Row Expansion
  • Column Ordering
  • Animatable
  • Virtualizable
  • Resizable
  • Server-side/controlled data/state
  • Extensible via hook-based plugin system

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