Which is Better React Data Grid Libraries?
react-table vs react-virtualized vs ag-grid-react vs react-data-grid vs react-bootstrap-table-next vs @handsontable/react
1 Year
react-tablereact-virtualizedag-grid-reactreact-data-gridreact-bootstrap-table-next@handsontable/reactSimilar Packages:
What's 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 features like sorting, filtering, pagination, and editing capabilities, allowing for a rich user experience when interacting with data. They are essential for applications that require data-heavy interfaces, enabling efficient data management and presentation.

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react-table1,297,85725,106940 kB191-MIT
react-virtualized942,53826,3442.2 MB62 years agoMIT
ag-grid-react444,06912,691600 kB614 hours agoMIT
react-data-grid152,6376,959815 kB186a month agoMIT
react-bootstrap-table-next52,5131,266-5414 years agoMIT
@handsontable/react44,35619,905499 kB4195 days agoSEE LICENSE IN LICENSE.txt
Feature Comparison: react-table vs react-virtualized vs ag-grid-react vs react-data-grid vs react-bootstrap-table-next vs @handsontable/react

Data Editing

  • react-table: react-table does not provide built-in editing features but allows developers to implement custom editing logic. This gives flexibility but requires more effort to set up compared to other libraries.
  • react-virtualized: react-virtualized focuses on performance and does not provide built-in editing features. Developers need to implement their own editing logic, making it less suitable for applications that require extensive editing capabilities.
  • ag-grid-react: ag-grid-react offers extensive editing options, including cell editing, row editing, and custom editors. It allows for complex editing scenarios, such as batch editing and validation, making it suitable for enterprise applications with intricate data requirements.
  • react-data-grid: react-data-grid features inline editing with support for custom editors and validation. It allows developers to create a tailored editing experience, making it flexible for various data types and user interactions.
  • react-bootstrap-table-next: react-bootstrap-table-next provides basic editing capabilities through inline editing. It is straightforward to implement but lacks advanced features like validation or custom editors, making it suitable for simpler use cases.
  • @handsontable/react: @handsontable/react supports rich data editing capabilities, allowing users to edit cells directly in the grid, with features like dropdowns, checkboxes, and custom editors. This mimics the functionality of traditional spreadsheet applications, making it intuitive for users.

Performance Optimization

  • react-table: react-table is lightweight and does not include built-in performance optimizations. However, it allows developers to implement their own optimizations, making it flexible but requiring more effort for large datasets.
  • react-virtualized: react-virtualized excels in performance optimization by implementing windowing and virtualization techniques, allowing it to render only visible rows and columns. This makes it ideal for applications dealing with massive datasets.
  • ag-grid-react: ag-grid-react is designed for high performance with features like row and column virtualization, enabling it to handle millions of rows efficiently. Its architecture supports lazy loading and server-side pagination for optimal performance.
  • react-data-grid: react-data-grid is optimized for performance with features like row virtualization and efficient rendering, making it suitable for large datasets. It ensures smooth scrolling and quick interactions even with extensive data.
  • react-bootstrap-table-next: react-bootstrap-table-next is suitable for moderate-sized datasets but may struggle with performance in very large datasets due to its lack of advanced virtualization techniques. It is best for simpler applications with limited data.
  • @handsontable/react: @handsontable/react is optimized for performance with features like cell rendering optimizations and data caching, ensuring smooth interactions even with large datasets. It handles updates efficiently to minimize re-renders.

Customization

  • react-table: react-table is designed to be highly customizable and flexible, allowing developers to implement their own features and styles. It provides hooks for building custom table components, making it suitable for unique use cases.
  • react-virtualized: react-virtualized offers customization options primarily focused on performance. While it allows for some level of customization, it requires more effort to implement custom features compared to other libraries.
  • ag-grid-react: ag-grid-react offers a wide range of customization options, including custom cell renderers, filters, and editors. This flexibility allows developers to tailor the grid to meet complex business requirements.
  • react-data-grid: react-data-grid is highly customizable, allowing developers to define custom cell renderers and editors. It supports themes and styling, making it adaptable to various design requirements.
  • react-bootstrap-table-next: react-bootstrap-table-next allows for basic customization through props and Bootstrap classes. However, it is less flexible compared to other libraries when it comes to advanced customizations.
  • @handsontable/react: @handsontable/react provides extensive customization options for cell rendering, formatting, and behavior. Developers can create custom cell types and editors, making it highly adaptable to specific use cases.

Integration

  • react-table: react-table is framework-agnostic and can be integrated into any React application. It is flexible enough to work with various state management libraries, allowing for easy integration into diverse projects.
  • react-virtualized: react-virtualized can be integrated into any React application but requires more setup for styling and features. It is best suited for applications where performance is the primary concern.
  • ag-grid-react: ag-grid-react is compatible with various frameworks and libraries, including Redux and Angular. Its extensive API allows for easy integration into complex applications with multiple data sources.
  • react-data-grid: react-data-grid integrates well with React and supports various state management solutions. It is easy to incorporate into existing React applications, providing a straightforward setup process.
  • react-bootstrap-table-next: react-bootstrap-table-next is designed to work seamlessly with Bootstrap, making it an excellent choice for applications already using Bootstrap for styling. Its integration with Bootstrap components simplifies development.
  • @handsontable/react: @handsontable/react integrates well with various state management libraries and frameworks, making it easy to incorporate into existing applications. It also supports various data sources for seamless data handling.

Learning Curve

  • react-table: react-table has a steeper learning curve for those unfamiliar with its headless approach. However, its flexibility allows experienced developers to create tailored solutions efficiently.
  • react-virtualized: react-virtualized has a higher learning curve due to its focus on performance optimizations and the need for custom implementations. Developers must invest time to understand its concepts and best practices.
  • ag-grid-react: ag-grid-react has a steeper learning curve due to its rich feature set and configuration options. However, once mastered, it offers powerful capabilities for enterprise applications.
  • react-data-grid: react-data-grid has a moderate learning curve, with a focus on customization and flexibility. Developers may need time to explore its features fully but will benefit from its adaptability.
  • react-bootstrap-table-next: react-bootstrap-table-next is easy to learn and implement, especially for developers familiar with Bootstrap. Its straightforward API allows for quick integration and basic functionalities.
  • @handsontable/react: @handsontable/react has a moderate learning curve due to its extensive features and functionalities. Developers familiar with spreadsheet concepts will find it easier to adapt.
How to Choose: react-table vs react-virtualized vs ag-grid-react vs react-data-grid vs react-bootstrap-table-next vs @handsontable/react
  • react-table: Choose react-table if you prefer a lightweight, headless approach to building tables. It offers great flexibility and is suitable for developers who want to implement custom table features without being tied to a specific UI framework.
  • react-virtualized: Select react-virtualized when dealing with large lists or tables where performance is critical. It provides efficient rendering techniques like windowing and virtualization to ensure smooth scrolling and rendering of large datasets.
  • ag-grid-react: Select ag-grid-react for enterprise-level applications that require high performance and extensive features like custom cell rendering, server-side operations, and rich data visualization options. It is suitable for large datasets and complex data interactions.
  • react-data-grid: Use react-data-grid for a highly customizable grid that supports features like inline editing, keyboard navigation, and virtualization. It is perfect for applications that require a flexible grid layout and performance optimization for large datasets.
  • react-bootstrap-table-next: Opt for react-bootstrap-table-next if you are already using Bootstrap and need a simple, easy-to-implement table solution that integrates well with Bootstrap styling. It is great for projects that require quick setup and basic functionalities.
  • @handsontable/react: Choose @handsontable/react if you need a spreadsheet-like experience with advanced features such as cell editing, data validation, and conditional formatting. It is ideal for applications that require complex data manipulation similar to Excel.
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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