react-table vs ag-grid-react vs react-data-grid vs @syncfusion/ej2-react-grids vs mui-datatables vs react-bootstrap-table-next vs react-grid-system vs react-virtualized
React Data Grid Libraries
react-tableag-grid-reactreact-data-grid@syncfusion/ej2-react-gridsmui-datatablesreact-bootstrap-table-nextreact-grid-systemreact-virtualizedSimilar Packages:
React Data Grid Libraries

React data grid libraries provide developers with powerful tools to display and manipulate tabular data in web applications. These libraries offer a range of features such as sorting, filtering, pagination, and editing capabilities, making it easier to manage large datasets effectively. They are designed to integrate seamlessly with React, allowing for efficient rendering and state management. Each library has its unique strengths and use cases, catering to different project requirements and developer preferences.

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react-table1,541,45427,396940 kB334-MIT
ag-grid-react1,049,36814,812658 kB133a month agoMIT
react-data-grid275,4647,490412 kB615 days agoMIT
@syncfusion/ej2-react-grids18,912394123 kB1917 hours agoSEE LICENSE IN license
mui-datatables02,718585 kB647-MIT
react-bootstrap-table-next01,263-5436 years agoMIT
react-grid-system082888.9 kB43a year agoMIT
react-virtualized027,0392.24 MB1a year agoMIT
Feature Comparison: react-table vs ag-grid-react vs react-data-grid vs @syncfusion/ej2-react-grids vs mui-datatables vs react-bootstrap-table-next vs react-grid-system vs react-virtualized

Performance

  • react-table:

    Highly performant for small to medium datasets, but requires additional configuration for handling larger datasets efficiently.

  • ag-grid-react:

    Ag-Grid is known for its exceptional performance, supporting thousands of rows and columns with minimal lag, thanks to its efficient rendering and data handling mechanisms.

  • react-data-grid:

    Designed for high performance, it supports large datasets with features like row virtualization to ensure smooth scrolling and interaction.

  • @syncfusion/ej2-react-grids:

    This library is optimized for performance with features like virtual scrolling and lazy loading, allowing it to handle large datasets efficiently without sacrificing speed.

  • mui-datatables:

    While not as performant as ag-grid, mui-datatables offers decent performance for moderate datasets, focusing on ease of use and quick setup.

  • react-bootstrap-table-next:

    Performance is adequate for small to medium datasets, but may struggle with larger datasets due to lack of advanced optimization features.

  • react-grid-system:

    Performance is not a primary focus as it is more about layout management, but it integrates well with other libraries for data handling.

  • react-virtualized:

    Specifically designed for performance, it excels in rendering large lists and tables by only rendering visible items, significantly improving performance.

Customization

  • react-table:

    Extremely customizable, allowing developers to define their own rendering logic and behaviors, making it suitable for projects requiring unique table implementations.

  • ag-grid-react:

    Highly customizable with a wide range of options for cell rendering, row grouping, and filtering, making it suitable for complex applications that need tailored solutions.

  • react-data-grid:

    Offers a good level of customization, allowing developers to create custom cell renderers and editors, suitable for applications needing specific functionalities.

  • @syncfusion/ej2-react-grids:

    Offers extensive customization options, allowing developers to tailor the grid's appearance and behavior to fit specific requirements, including custom cell templates and themes.

  • mui-datatables:

    Provides basic customization options, primarily focused on styling through Material-UI, making it easy to integrate into existing Material-UI projects.

  • react-bootstrap-table-next:

    Customization is straightforward, especially for Bootstrap users, but may be limited compared to more feature-rich libraries.

  • react-grid-system:

    Customization is focused on layout rather than data manipulation, allowing developers to create responsive designs easily.

  • react-virtualized:

    Customization is primarily around performance optimizations, with less focus on styling; however, it can be integrated with other libraries for enhanced UI.

Ease of Use

  • react-table:

    Has a steeper learning curve due to its flexibility and customization options, but offers great power for those willing to invest the time.

  • ag-grid-react:

    Offers a user-friendly API and excellent documentation, making it relatively easy to integrate and use, even for complex features.

  • react-data-grid:

    User-friendly with a clear API, but may require additional effort for advanced features, making it suitable for developers with some experience.

  • @syncfusion/ej2-react-grids:

    While feature-rich, it may have a steeper learning curve due to its extensive capabilities, but offers comprehensive documentation to ease the process.

  • mui-datatables:

    Designed for ease of use, especially for developers familiar with Material-UI, allowing for quick setup and implementation.

  • react-bootstrap-table-next:

    Very easy to use for developers already familiar with Bootstrap, providing a straightforward API for basic table functionalities.

  • react-grid-system:

    Simple to use for layout management, but does not handle data manipulation, making it less complex than data grid libraries.

  • react-virtualized:

    Requires some understanding of virtualization concepts, which may pose a challenge for beginners, but provides excellent performance once mastered.

Features

  • react-table:

    Highly flexible, allowing for custom features to be built, but requires additional setup for advanced functionalities.

  • ag-grid-react:

    Packed with features like row grouping, pivoting, and custom cell rendering, it is one of the most feature-rich options available.

  • react-data-grid:

    Supports essential features like sorting and filtering, with additional capabilities for custom cell rendering and editing.

  • @syncfusion/ej2-react-grids:

    Includes a wide array of features such as filtering, sorting, grouping, editing, and exporting, making it a comprehensive solution for data management.

  • mui-datatables:

    Offers essential features like sorting, filtering, and pagination, but lacks some advanced functionalities found in other libraries.

  • react-bootstrap-table-next:

    Provides basic features for data display, including sorting and pagination, but is limited compared to more advanced libraries.

  • react-grid-system:

    Focuses on layout features rather than data manipulation, providing a responsive grid system for building layouts.

  • react-virtualized:

    Focuses on performance features like virtualization for large datasets, but does not provide built-in data manipulation features.

Integration

  • react-table:

    Highly flexible and can be integrated with various state management solutions, allowing for custom implementations based on project needs.

  • ag-grid-react:

    Easily integrates with various state management libraries and frameworks, making it a versatile choice for complex applications.

  • react-data-grid:

    Integrates well with React applications, offering flexibility in how data is managed and displayed, suitable for various use cases.

  • @syncfusion/ej2-react-grids:

    Integrates well with various frameworks and libraries, making it suitable for enterprise applications that require robust data handling.

  • mui-datatables:

    Seamlessly integrates with Material-UI, making it a great choice for projects that prioritize design consistency with Material components.

  • react-bootstrap-table-next:

    Best suited for projects using Bootstrap, providing a familiar integration experience for developers.

  • react-grid-system:

    Focuses on layout integration, allowing developers to create responsive designs easily, but does not handle data directly.

  • react-virtualized:

    Can be integrated with other libraries for enhanced UI, but primarily focuses on performance optimizations for rendering large datasets.

How to Choose: react-table vs ag-grid-react vs react-data-grid vs @syncfusion/ej2-react-grids vs mui-datatables vs react-bootstrap-table-next vs react-grid-system vs react-virtualized
  • react-table:

    Opt for react-table if you prefer a lightweight and highly customizable table solution. It is suitable for developers who want to build tables from scratch and need fine-grained control over the rendering and behavior of their tables.

  • ag-grid-react:

    Opt for ag-grid-react if you require a highly customizable and feature-rich grid. It supports complex data operations, offers excellent performance, and is suitable for applications that need advanced features like row grouping and pivoting.

  • react-data-grid:

    Choose react-data-grid if you need a grid that can handle large datasets efficiently with features like virtualization and custom cell rendering. It is suitable for applications that require high performance and flexibility in data handling.

  • @syncfusion/ej2-react-grids:

    Choose this package if you need a comprehensive grid solution with extensive features like data binding, editing, and exporting capabilities. It is ideal for enterprise-level applications that require high performance and advanced functionalities.

  • mui-datatables:

    Select mui-datatables if you are looking for a simple yet powerful solution that integrates well with Material-UI. It is great for projects that prioritize design consistency and ease of use, providing built-in features like sorting, filtering, and pagination.

  • react-bootstrap-table-next:

    Use react-bootstrap-table-next if you are already using Bootstrap in your project and want a straightforward way to create tables with Bootstrap styling. It is easy to set up and provides essential features for basic data display.

  • react-grid-system:

    Select react-grid-system if you need a responsive grid layout system for building complex layouts. It focuses on layout rather than data manipulation and is ideal for applications that require a flexible grid structure.

  • react-virtualized:

    Choose react-virtualized if you are dealing with large lists or tables and need to optimize rendering performance. It provides virtualization capabilities that significantly improve performance by only rendering visible rows.

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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