An Expert Analysis of Popular React Data Grid Libraries

1. Introduction

Data grid components are fundamental in contemporary web applications, providing structured and interactive ways to present and manipulate tabular data. Within the React ecosystem, a multitude of data grid libraries exist, each offering a unique set of features and catering to diverse project requirements. Selecting the most appropriate library can be a complex undertaking for developers due to the sheer volume of options available and the varying needs of different applications. Factors such as licensing costs, performance demands, required functionalities, and the level of customization needed all play crucial roles in the decision-making process. This report aims to provide a comprehensive analysis of popular open-source and commercial React data grid libraries. By examining their licensing models, key features, ease of integration with React projects, performance characteristics when handling large datasets, customization options, and notable limitations, this analysis intends to equip software developers and technical leads with the necessary information to make well-informed decisions for their React projects.

2. Overview of Popular React Data Grid Libraries

The React ecosystem offers a wide selection of data grid libraries, ranging from freely available open-source solutions to commercially licensed components with advanced features and dedicated support. These libraries can be broadly categorized based on their licensing and target use cases.

Open-Source Options:

• ag-grid Community: A widely used, feature-rich open-source data grid that provides a solid foundation for many common table functionalities 1.
• reactdatagrid-community: While mentioned in the user query, it will be explored alongside other popular options to provide a comprehensive overview.
• React Table (TanStack Table): A lightweight and highly flexible “headless” table library that offers complete control over UI implementation 1.
• Material React Table: A relatively new library built on top of Material UI and TanStack Table, offering a balance of features and ease of use within the Material Design aesthetic 1.
• MUI X DataGrid (Community version): The free version of the data grid component from the developers of Material UI, providing a feature-rich table that integrates well with Material UI components 1.
• React Virtualized: A library specifically designed for efficiently rendering large lists and tabular data using virtualization techniques 2.
• Griddle: A highly customizable data grid component for React with plugin support, although its maintenance status appears to be inactive 5.
• React Spreadsheet Grid: An open-source library aimed at providing Excel-like functionality within React applications 2.
• React Datasheet: A lightweight component focused on creating spreadsheet-like tables with in-place editing capabilities, but with inactive maintenance 2.
• PrimeReact DataTable: A feature-rich and customizable data table component that is part of the comprehensive PrimeReact UI library 2.
• Mantine React Table: A fully-featured data grid built on Mantine and TanStack Table, emphasizing ease of use and customization within the Mantine ecosystem 2.
• SVAR React DataGrid: A relatively new open-source solution designed for handling large datasets with a focus on speed and essential functionalities 2.
• Revogrid (Community version): A data grid built with StencilJS, offering a React wrapper for integration, with both free and paid versions available 2.
• ApexGrid: A free and open-source React data grid component providing features like sorting, filtering, and pagination 75.

Commercial Options:

• ag-grid Enterprise: The commercial version of ag-grid, offering advanced features suitable for complex enterprise applications 1.
• MUI X DataGrid (Pro/Premium versions): Paid tiers of the MUI X DataGrid that include advanced functionalities for more demanding use cases 1.
• KendoReact Grid: A premium data grid component from Telerik, offering a comprehensive set of features and server-side rendering capabilities 5.
• Syncfusion React Data Grid: A feature-rich data grid with a focus on high performance and seamless data binding, available as part of the Syncfusion Essential Studio suite 5.
• DevExtreme React Grid: A commercial data grid component from DevExpress known for its speed, flexible data binding, and adaptability to various devices 5.
• DHTMLX Grid for React: A robust and flexible data table component that is part of the DHTMLX Suite UI library, offering extensive customization options 5.
• Wijmo’s FlexGrid: A flexible data grid component from GrapeCity with a focus on customization and integration within the React ecosystem 76.
• Revogrid (Pro version): The paid version of Revogrid, which includes advanced features beyond the community edition 2.

The subsequent sections of this report will provide a detailed analysis of each of these prominent React data grid libraries, examining their key characteristics to aid in the selection process.

3. Detailed Analysis of Each Data Grid Library

3.1. ag-grid Community/Enterprise

• 3.1.1. Licensing Model
  ag-grid is available under two licensing models: Community and Enterprise 4. The Community version is free for everyone, including for use in production, and is licensed under the MIT license 4. No license is required for the Community version 4. In contrast, ag-grid Enterprise requires a commercial, EULA license for production use 4. It is free to test the Enterprise version locally without a license key, and a free trial license key can be requested for testing in a production environment 4. Licenses for ag-grid Enterprise are perpetual and include one year of support and updates, available on a per-developer, per-deployment basis 4. This dual licensing approach allows developers to start with a robust free version and upgrade to a paid version for advanced features and dedicated support when needed.
• 3.1.2. Key Features and Functionalities
  ag-grid offers a comprehensive set of features in both its Community and Enterprise editions 4. The Community version includes core functionalities such as row and column configurations, sorting, filtering, and pagination 4. It also supports custom cell rendering using developer-provided components, pre-built themes with CSS customization, ARIA support and keyboard navigation for accessibility, and column and row virtualization for performance optimization 4. The Enterprise version extends these capabilities with advanced features like efficient handling of large datasets through server-side data loading, advanced export options to Excel with styling and formulas, built-in pivot and aggregation for complex data analysis, range selection and manipulation, integrated charting, nested grid views for hierarchical data, advanced grouping and sorting, enhanced copy and paste (including Excel-like behavior), built-in configuration panels for columns and filters (with custom panel options), and additional UI elements for enhanced user interaction 4. This extensive feature set positions ag-grid as a powerful option for a wide range of application complexities.
• 3.1.3. Ease of Integration and Compatibility with React
  Integrating ag-grid with React involves a few straightforward steps 108. First, the ag-grid-react package needs to be installed using npm, which also installs the ag-grid-community package 3. Next, for accessing all Community features, the AllCommunityModule needs to be imported and registered 3. For Enterprise features, the ag-grid-enterprise package would be installed and relevant modules registered. The AgGridReact component is then imported and can be used within a React component by defining row data and column definitions as state variables 3. The AgGridReact component is rendered within a container (typically a div) with a specified height, with rowData and columnDefs passed as attributes 3. This component-based approach ensures seamless integration into the React lifecycle and architecture.
• 3.1.4. Performance Characteristics
  ag-grid is known for its strong performance, particularly when handling large datasets 23. Performance can be further optimized by ensuring the React application is running in production mode 47. The use of custom Cell Renderers should be carefully considered, as they can impact performance by increasing DOM complexity; Value Getters or Value Formatters might be more efficient for simple value manipulation 47. The rowBuffer property, which controls the number of rows rendered outside the visible area, can be adjusted to balance initial load time and scrolling performance 47. Disabling row highlighting on hover (suppressRowHoverHighlight=true) can also provide a slight performance improvement 47. Benchmarks indicate that ag-grid outperforms React Table and React Virtualized in rendering and filtering large datasets, likely due to its built-in virtual rendering and other performance-focused features 23.
• 3.1.5. Customization Options
  ag-grid offers extensive customization options across various aspects of the grid 108. This includes comprehensive theming capabilities with built-in themes, theme parameters, and styling of theme parts, allowing for detailed control over the grid’s appearance 108. Columns can be highly customized through column definitions, including headers, grouping, sizing, moving, pinning, and spanning 108. Custom column filters and floating filters can also be implemented 108. Row styling and height can be adjusted, and full width rows are a customizable layout option 108. Cells can be customized in terms of content, text formatting, the use of custom cell components, styling, and change highlighting; custom cell editors are also supported 108. Filtering is highly customizable with various built-in filter types and the option to implement external filters 108. The editing experience can be tailored using edit components and provided cell editors 108. Tool panels, including the columns and filters tool panels, are customizable, and custom panels can be created 108. Finally, both the column menu and context menu are customizable, allowing for the addition or modification of menu items 108. This wide array of customization options allows developers to precisely tailor the grid to their application’s specific requirements.
• 3.1.6. Notable Limitations or Drawbacks
  While ag-grid is a powerful library, it has some limitations 1. The bundle size can be larger compared to some other data grid options, especially when including many features 1. Due to its extensive feature set, it can also have a steeper learning curve for developers new to the library 5. When used with jsdom, a JavaScript implementation of web standards often used for testing, ag-grid has known limitations, including no support for CSS layout (impacting virtualization) and no support for the innerText property (affecting some components) 12. The documentation recommends using end-to-end (e2e) tests with tools like Playwright or Cypress for more reliable testing in a real browser environment 12.

3.2. reactdatagrid-community

Due to the lack of specific research material available for “reactdatagrid-community,” a detailed analysis based on the provided snippets cannot be performed. To provide a comprehensive comparison, it would be necessary to gather specific documentation and resources related to this particular library.

3.3. React Table (TanStack Table)

• 3.3.1. Licensing Model
  React Table (now known as TanStack Table) is licensed under the MIT License 7. This permissive license allows for commercial use, modification, distribution, and private use, with the only conditions being the preservation of copyright and license notices 7. This makes it a freely usable option for a wide range of projects.
• 3.3.2. Key Features and Functionalities
  TanStack Table is a “headless UI” library for building tables and datagrids, offering a wide array of features without any built-in UI 6. Its core features include lightweightness (10-15kb bundle size), tree-shaking support, and auto-managed internal state with an option for fully controlled state management 6. It provides headless cell formatters and supports single and multi-column sorting, global and column filters, pagination, row grouping, aggregation, row selection and expansion, column ordering, visibility, and resizing 6. It is also virtualizable and compatible with server-side/external data, nested/grouped headers, and footers 6. This headless approach allows developers to build highly customized table experiences.
• 3.3.3. Ease of Integration and Compatibility with React
  TanStack Table is specifically designed to work seamlessly with React using React hooks 6. It provides hooks like useReactTable to create a table instance and flexRender to render table elements within React components 111. While it is framework-agnostic and can be used with other frameworks, its integration with React is well-documented with numerous examples available 6. Developers define column definitions and data, and the hooks provide the necessary logic for table operations, allowing for a high degree of control over the rendering process within React components 6.
• 3.3.4. Performance Characteristics
  TanStack Table is designed for performance, being lightweight and utilizing tree-shaking 6. It is built to efficiently handle large datasets and offers features like virtualization to further enhance performance when dealing with very large tables 6. By only rendering the necessary components and leveraging optimized algorithms, TanStack Table aims to provide a smooth user experience even with substantial amounts of data 109.
• 3.3.5. Customization Options
  Being a headless UI library, TanStack Table offers unparalleled customization options 6. Developers have 100% control over the HTML tags, components, classes, and styles used to render the table 6. While it provides excellent defaults, virtually everything can be customized and overridden 6. The core API is framework-independent, making it adaptable to different styling patterns and UI libraries within React 6. Features like custom cell rendering, header rendering, and the ability to add custom properties through the meta feature provide fine-grained control over the table’s appearance and behavior 8.
• 3.3.6. Notable Limitations or Drawbacks
  Despite its many advantages, TanStack Table also has some drawbacks 5. Its headless nature means that developers must implement all UI components and styling themselves, which can increase development time 5. Managing column width according to data length and making the table responsive for all screen sizes might require additional effort 109. Debugging a custom-built table using TanStack Table can also be challenging 109. While the documentation is comprehensive, its sheer volume can sometimes make it difficult to find quick answers 5. It might also lack built-in optimizations for extremely large datasets compared to libraries like React Virtualized 5.

3.4. Material React Table

• 3.4.1. Licensing Model
  Material React Table is licensed under the MIT License 9. It is free to use in both personal and commercial projects, making it an accessible option for developers working within the Material UI ecosystem 9.
• 3.4.2. Key Features and Functionalities
  Material React Table is a fully-featured data grid built on Material UI V6 and TanStack Table V8 10. It includes a wide range of features such as pagination, sorting, filtering, row selection and expansion, column resizing and reordering, virtualization, aggregation and grouping, advanced filter UIs, fuzzy search, full editing (CRUD), column and row pinning, row numbers, and click to copy 10. It also offers features like column actions (menu), cell actions (context menu), row actions (buttons), density toggle, and full-screen toggle 10. This comprehensive feature set makes it a strong contender for applications using Material UI.
• 3.4.3. Ease of Integration and Compatibility with React
  Material React Table is specifically designed for React and integrates seamlessly with React projects, particularly those already using Material UI 10. It provides a primary React component, <MaterialReactTable />, which can be directly included in JSX 10. It also offers a useMaterialReactTable hook for building custom table markup 10. Configuration is primarily done through JSX props, and it leverages the component-based architecture of React 10. Being built on Material UI, it benefits from the styling and theming capabilities of that framework 10.
• 3.4.4. Performance Characteristics
  Material React Table is designed to be performant and lightweight, with a bundle size ranging from 37 to 53 KB depending on the imported components 10. It utilizes memoization and supports virtualization (scrolling) for efficient handling of large datasets by rendering only visible rows 10. Built on top of the performance-oriented TanStack Table and React Virtual, it benefits from the optimizations provided by these underlying libraries 10.
• 3.4.5. Customization Options
  Material React Table offers extensive customization options 10. Almost everything is customizable or overridable through custom props and styles passed to internal components 10. Simple enable* props allow easy toggling of features 10. You can customize the style of any internal component, use custom icons, and leverage localization with over 30 community-contributed locales 10. The toolbar, columns (including widths, resizing, and hiding), density, filtering, grouping, aggregation, pinning, and action buttons/menus are all customizable 10. This high level of customizability allows developers to tailor the table extensively within the Material UI design system.
• 3.4.6. Notable Limitations or Drawbacks
  Based on the available information, Material React Table does not support column spanning or same-column multi-filtering 10. While it offers CSV export, it might not be as straightforward as other features 10. Server-Side Rendering (SSR) compatibility might also have some limitations or require extra configuration 10. Virtualization for older browsers like IE11 might not be fully supported 10. However, as the library is actively developed, some of these limitations might be addressed in future updates 10.

3.5. MUI X DataGrid (Community version)

• 3.5.1. Licensing Model
  The MUI X DataGrid comes in different versions with varying licenses 13. The Community version is open-source and available under the MIT license, making it free for both personal and commercial use 13. The Pro and Premium versions are commercially licensed and require a paid subscription 13.
• 3.5.2. Key Features and Functionalities
  The MUI X DataGrid (Community version) offers a robust set of features, including editing, pagination, column grouping, and single-column sorting and filtering 15. It also provides row and column features, selection, pagination (up to 100 rows per page), CSV export, print, clipboard copy, customizable components, accessibility, keyboard navigation, and localization 13. The Pro and Premium versions extend these features with advanced functionalities like advanced filtering, column pinning and reordering, row reordering and pinning, tree data, master detail, row grouping, aggregation, Excel export, and more 13. This tiered feature set allows users to choose a version that aligns with their project’s complexity and budget.
• 3.5.3. Ease of Integration and Compatibility with React
  MUI X DataGrid is built with and exclusively for React, ensuring seamless integration into React projects 15. It is installed via npm (@mui/x-data-grid for the Community version, @mui/x-data-grid-pro for Pro, and @mui/x-data-grid-premium for Premium) 14. The DataGrid component is then imported and used within React components, with configuration done through JSX props such as rows and columns 14. It is designed to work well with the rest of the Material UI component library 1.
• 3.5.4. Performance Characteristics
  The MUI X DataGrid is designed for high performance, leveraging row and column virtualization to handle large datasets efficiently 16. DOM virtualization ensures that only the visible portion of the grid is rendered, improving rendering performance 16. However, the MIT-licensed Community version limits row virtualization to 100 rows 16. For larger datasets requiring virtualization beyond this limit, upgrading to the Pro or Premium plan is necessary 16.
• 3.5.5. Customization Options
  MUI X DataGrid offers various customization options 18. One-off styles can be applied using the sx prop 20. Column headers, rows, and cells can be styled using properties like headerClassName, headerAlign, getRowClassName, and cellClassName 20. Custom cell rendering is also supported 14. The appearance of the header and pinned sections can be themed, and custom themes can be created 20. Filtering operators and input components can be customized as well 19.
• 3.5.6. Notable Limitations or Drawbacks
  The Community version of MUI X DataGrid has a limitation on the size of the page, with a maximum of 100 rows per page 17. For larger pages, a Pro or Premium license is required 17. Row virtualization in the Community version is also limited to 100 rows and does not work with the autoHeight prop enabled 16.

3.6. React Virtualized

• 3.6.1. Licensing Model
  React Virtualized is licensed under the MIT License 24. This allows for broad usage in various types of projects without significant restrictions 24.
• 3.6.2. Key Features and Functionalities
  React Virtualized provides a set of React components specifically designed for efficiently rendering large lists and tabular data 24. Its core functionality revolves around virtualization, rendering only the visible portion of data to optimize performance 24. It supports customizable layouts, including grids, lists, and dynamic row heights 5. Features like windowing and infinite loading are also provided for smooth scrolling through massive datasets 5.
• 3.6.3. Ease of Integration and Compatibility with React
  React Virtualized is a library of React components that are designed to be used within React applications 24. Installation is done via npm (npm install react-virtualized) 5. The library’s components, such as Table, List, and Grid, can then be imported and used directly within React JSX 24. Configuration is primarily through props, making it relatively straightforward to integrate into existing React projects 24.
• 3.6.4. Performance Characteristics
  Performance is the primary focus of React Virtualized 24. By employing virtualization techniques, it ensures that only the visible rows and columns are rendered, leading to significant performance gains when dealing with large datasets 24. The library uses shallowCompare by default to avoid unnecessary re-renders, further optimizing performance 24. Components like AutoSizer and InfiniteLoader also contribute to efficient rendering of large amounts of data 24.
• 3.6.5. Customization Options
  React Virtualized offers customization options primarily through styling and the composition of its components 24. Developers can customize the classes and styles applied to the components to match their application’s design 24. The library’s flexibility allows for the creation of various table layouts and the integration of custom rendering logic within the virtualized components 5.
• 3.6.6. Notable Limitations or Drawbacks
  One potential drawback of React Virtualized is its bundle size, which might be larger compared to some more specialized virtualization libraries like react-window, which is suggested as a lighter-weight alternative by the library’s maintainers 24. This suggests that for projects with strict bundle size constraints, react-window might be a better option.

3.7. Griddle

• 3.7.1. Licensing Model
  Griddle React is released under the MIT license 25. This permissive license allows for its free use in both commercial and personal projects, provided the copyright and license notices are preserved 25.
• 3.7.2. Key Features and Functionalities
  Griddle is a highly customizable data grid component for React that has been rebuilt with customization and plugin support in mind 26. It allows for overriding almost anything, including components and methods, and can function as a component for rendering lists of data beyond just a traditional data grid 26. Key features include plugin support for reusable customizations, customizable components and methods, and built-in filtering 26. It also supports features like cards, nesting, and maps 28.
• 3.7.3. Ease of Integration and Compatibility with React
  Integrating Griddle with React involves installing the griddle-react package via npm 26. The Griddle component is then imported into the React component file 26. Data is provided as an array of objects via the data prop 26. Griddle is structured similarly to many React applications, using container and view components, making it conceptually familiar for React developers 28.
• 3.7.4. Performance Characteristics
  Information regarding the specific performance characteristics of Griddle, particularly with large datasets, is limited in the provided research material 26. However, its architecture, which includes container and view components and uses Redux internally for state management, suggests a focus on maintainability and customizability 30.
• 3.7.5. Customization Options
  Griddle is known for its ultra-customizability 26. It allows for customization of components, internal state management, and more through a plugin architecture 31. Custom column and row formats can be defined, and components can be enhanced or replaced 28. Column metadata allows for specifying display names, sortability, custom compare functions, styling, and custom header and data components 34. This extensive customization capability is a key strength of Griddle.
• 3.7.6. Notable Limitations or Drawbacks
  A significant drawback of Griddle is that it appears to be no longer actively maintained, with the latest commit on its GitHub repository being several years ago 31. This lack of active maintenance could lead to issues with compatibility with newer React versions and a lack of bug fixes or new features 31. Additionally, while highly customizable, implementing basic features not included by default might require substantial development effort 33. There have also been reports of issues with rendering when initial data is empty and problems with data updates 43.

3.8. React Spreadsheet Grid

• 3.8.1. Licensing Model
  The research material indicates that React Spreadsheet Grid is an open-source React grid library 22. However, specific licensing details (like MIT or Apache) are not provided in the accessible snippets 117. Further investigation of the library’s repository would be needed to confirm its exact licensing terms.
• 3.8.2. Key Features and Functionalities
  React Spreadsheet Grid is designed to provide Excel-like functionality to React applications 22. It offers a range of features, including sorting, filtering, grouping, and aggregation of data, along with support for keyboard navigation 22. It also supports custom cell editors, performant scrolling for large numbers of rows, resizable columns, and the ability to control the grid via mouse and keyboard 45. Lazy loading and customizable CSS styling are also among its features 45.
• 3.8.3. Ease of Integration and Compatibility with React
  React Spreadsheet Grid is a React component that can be integrated into React applications 45. It is typically installed using npm (npm install react-spreadsheet-grid) 28. The grid’s rows and columns are often stored in the state of the parent component, and callbacks are used to handle changes to cell values 45. It is also reported to be compatible with other popular React libraries and frameworks like Redux and Next.js 22.
• 3.8.4. Performance Characteristics
  The library is mentioned as having “performant scroll for as many rows as you need,” suggesting it is designed to handle large datasets efficiently 45. The use of a scrollable container where only visible rows are rendered contributes to this performance 45.
• 3.8.5. Customization Options
  React Spreadsheet Grid allows customization of cell and header content using custom cell editors and header content 45. Built-in Input and Select components are provided as cell editors, but developers can also use any other React components for this purpose 45. CSS styling is also customizable 45.
• 3.8.6. Notable Limitations or Drawbacks
  The provided research material does not explicitly detail notable limitations or drawbacks of React Spreadsheet Grid 117. However, the level of community support and the frequency of updates might need to be considered based on the library’s repository activity.

3.9. React Datasheet

• 3.9.1. Licensing Model
  React Datasheet is released under the MIT license 54. This allows for its free use and modification in various projects, provided the license terms are met 27.
• 3.9.2. Key Features and Functionalities
  React Datasheet is a simple React component for creating spreadsheet-like interfaces 54. It supports features like selecting, cutting, copying, and pasting cells, keyboard navigation and deletion, and callbacks for handling cell changes and rendering values 54. It also allows developers to supply their own editors and view controls with custom renderers, providing extensive control over the generated markup 54.
• 3.9.3. Ease of Integration and Compatibility with React
  React Datasheet is integrated into React projects by installing the react-datasheet package via npm 54. The ReactDataSheet component and its CSS are then imported into the React component 54. The grid data is provided as an array of rows, with each row being an array of cell objects, via the data prop 54. The valueRenderer prop determines how cell values are displayed, and onCellsChanged handles updates to the data 54.
• 3.9.4. Performance Characteristics
  The research material describes React Datasheet as a “simple react component to create a spreadsheet” but does not provide specific performance metrics or comparisons 54. Its focus seems to be more on providing basic spreadsheet functionalities with ease of use.
• 3.9.5. Customization Options
  React Datasheet offers customization options for rendering the sheet, rows, and cells, as well as custom value viewers and data editors 54. These can be set for the entire sheet or for individual cells. The appearance and behavior of individual cells can also be controlled using properties like readOnly, className, and custom renderers 54.
• 3.9.6. Notable Limitations or Drawbacks
  A significant limitation of React Datasheet is that it is reported as no longer under active development, and the maintainers are seeking new contributors 54. This lack of active maintenance could pose risks for long-term use and support.

3.10. PrimeReact DataTable

• 3.10.1. Licensing Model
  PrimeReact is a collection of rich UI components for React, and all widgets, including the DataTable, are open source and free to use under the MIT License 56. This makes the DataTable a freely available option for React developers 56.
• 3.10.2. Key Features and Functionalities
  The PrimeReact DataTable offers a wide array of features, including basic table display, dynamic columns, templating, various sizing options, grid lines, and striped rows 55. It supports data handling and navigation features like pagination, sorting (single and multi-column), basic and advanced filtering, lazy loading, and virtual scrolling 55. Row and cell interactions include single and multiple selection, row expansion, editing (cell and row), and reordering (columns and rows) 55. Advanced layout and styling features include column and row grouping, conditional styling, column resizing and toggling, and frozen rows and columns 55. Additional features include CSV export, context menu integration, stateful persistence, and comprehensive accessibility features 55. This extensive feature set makes it suitable for a wide range of data presentation and manipulation needs.
• 3.10.3. Ease of Integration and Compatibility with React
  The PrimeReact DataTable is designed for seamless integration with React applications 55. It is installed via npm (npm install primereact) 28. The DataTable and Column components are imported from primereact/datatable and used within React components 55. Data is bound to the value property, and columns are defined using the Column component with various props for configuration 55. Many features are controlled through properties bound to the React component’s state and event handlers 55.
• 3.10.4. Performance Characteristics
  The PrimeReact DataTable offers features like lazy loading and virtual scrolling to enhance performance when dealing with large datasets 55. Lazy loading allows data to be loaded on demand, while virtual scrolling renders only the visible rows 55. Providing a unique identifier for each row using the dataKey prop is also suggested for performance optimization, especially with row selection or expansion 55.
• 3.10.5. Customization Options
  The PrimeReact DataTable provides a wide range of customization options 55. Columns can be dynamically created, templated, resized, reordered, and toggled 55. Rows can be grouped, styled conditionally, and reordered 55. The table layout and features like pagination and scrolling are also customizable 55. The component supports templating for headers, body, and footers of columns, allowing for custom content rendering 55. Styling can be achieved through PrimeReact’s theming system or by applying custom CSS 55.
• 3.10.6. Notable Limitations or Drawbacks
  The provided research material does not explicitly mention any significant limitations of the PrimeReact DataTable 55. However, some users have reported performance issues with filtering and row expansion in tables with a moderate number of rows, suggesting that careful implementation and optimization might be necessary for certain use cases 60. Additionally, when using features like virtual scrolling or lazy loading with checkbox selection, special considerations might be needed to handle selections across the entire dataset 61.

3.11. Mantine React Table

• 3.11.1. Licensing Model
  Mantine React Table is licensed under the MIT License and is free for both personal and commercial use 26. This makes it a readily accessible option for React developers, particularly those utilizing the Mantine UI library 26.
• 3.11.2. Key Features and Functionalities
  Mantine React Table (MRT) is a fully-featured data grid built on Mantine and TanStack Table 63. It offers a comprehensive set of features, including pagination, sorting, filtering, row selection and expansion, column resizing and reordering, virtualization, aggregation and grouping, advanced filter UIs, fuzzy search, full editing (CRUD), column and row pinning, row numbers, and click to copy 63. It also supports localization with over 30 locales, toolbar customization, and various column features 63. This extensive feature set aims to provide most functionalities expected from a modern table library.
• 3.11.3. Ease of Integration and Compatibility with React
  Mantine React Table is designed to work best in projects already using Mantine components, although it is not strictly required 26. It provides a primary React component, <MantineReactTable />, and a useMantineReactTable hook for more custom implementations 63. Integration involves importing the component or hook and configuring it with props for columns and data 63. It leverages the styling and component ecosystem of the Mantine UI library 63.
• 3.11.4. Performance Characteristics
  Mantine React Table aims for a balance between features and performance, with a bundle size ranging from 33-47 KB depending on the imported components 63. It utilizes virtualization for efficient handling of large datasets 63. Being built on TanStack Table, it benefits from the performance optimizations inherent in that library 63.
• 3.11.5. Customization Options
  MRT offers extensive customization options, allowing users to override styles as needed 63. You can use the pre-built <MantineReactTable /> component or build your own markup with the useMantineReactTable hook 63. Almost everything is customizable through props and styles passed to internal components, and simple enable* props control feature visibility 63. Custom icons and localization are also supported 63. The library provides detailed guidance on styling components by leveraging props forwarded to the underlying Mantine components 63.
• 3.11.6. Notable Limitations or Drawbacks
  Based on the provided information, Mantine React Table does not have built-in support for column spanning or a row context menu 63.

3.12. SVAR React DataGrid

• 3.12.1. Licensing Model
  SVAR React DataGrid is free to use under the MIT license 65. This allows for its use in a variety of projects without licensing fees or significant restrictions 65.
• 3.12.2. Key Features and Functionalities
  SVAR React DataGrid offers features such as tree data display, optimization for large datasets (with virtual scrolling, dynamic loading, and paging), intuitive in-cell editing, an easy-to-use context menu, frozen and collapsible columns, responsive design, multi-column sorting, multi-row selection, effortless keyboard navigation, and a RestDataProvider for easy data updates via REST APIs 65. These features make it a promising option for applications dealing with substantial amounts of data.
• 3.12.3. Ease of Integration and Compatibility with React
  SVAR React DataGrid is specifically designed for integration with React applications, as indicated by its name and documentation 65. It is intended to be easily integrated as a high-performance data grid within React projects 65.
• 3.12.4. Performance Characteristics
  The library is optimized for handling large datasets with features like virtual scrolling, dynamic loading, and paging, aiming to provide a responsive and seamless experience even with extensive data 65. It is described as “lightning fast,” suggesting a focus on performance 65.
• 3.12.5. Customization Options
  SVAR React DataGrid allows customization of column widths and provides built-in light and dark themes 65. The context menu is also customizable, allowing developers to implement their own menu items 65. The presence of features like frozen and collapsible columns, responsive design, and multi-column sorting also suggests a degree of configurability 65.
• 3.12.6. Notable Limitations or Drawbacks
  The provided research material does not explicitly detail notable limitations or drawbacks of SVAR React DataGrid 65. As a newer library, its community support and long-term stability might be factors to consider.

3.13. Revogrid (Community version)

• 3.13.1. Licensing Model
  Revogrid is a free, MIT-licensed component, although some advanced features are available only in its paid Pro version 2. The community version provides a solid set of core functionalities under an open-source license.
• 3.13.2. Key Features and Functionalities
  Revogrid offers features such as in-cell editing, sorting and filtering, column resizing, reordering, grouping, and pinning, virtual scrolling for efficient handling of large datasets, CRUD operations support, and clipboard support for easy data copying 2. It is built with StencilJS and provides a wrapper for React, allowing it to be used as part of a React project 2. The Pro version includes additional features like cell validation, input validation, paging, complex formulas, tree data view, master details/expandable rows, row grouping and drag-and-drop, context menu, and export to Excel 2.
• 3.13.3. Ease of Integration and Compatibility with React
  Revogrid provides a special wrapper for React based on StencilJS’s React adapter, making it integrable into React projects 72. It can be imported and used as a standard React component 72. Installation is typically done via npm or yarn 72.
• 3.13.4. Performance Characteristics
  Revogrid is designed to handle big data and maintain a high level of performance through features like virtual scrolling for efficient handling of large datasets 2. It leverages virtualization for both rows and columns, rendering only the visible portion of the grid 73.
• 3.13.5. Customization Options
  Revogrid offers various customization options, including defining custom sizes for columns and rows, column resizing, auto-sizing columns, pinning/freezing columns and rows, column grouping (nested headers), row grouping, and custom column types 71. It also supports custom header and row templates, cell properties, nested grids, context menus, and custom cell templates and editors 71.
• 3.13.6. Notable Limitations or Drawbacks
  The research material does not explicitly detail limitations of the Community version of Revogrid beyond the fact that some advanced features are reserved for the Pro version 70. General limitations of HTML tables compared to data grids include rendering all data at once (inefficient for large datasets) and limited interactivity without JavaScript, which Revogrid aims to overcome 74.

3.14. ApexGrid

• 3.14.1. Licensing Model
  ApexGrid is described as a free and open-source React data grid 75. Specific licensing details (like MIT or Apache) would likely be found in the project’s repository.
• 3.14.2. Key Features and Functionalities
  ApexGrid delivers features such as sorting, filtering, pagination, and column resizing 75. It is designed to display and manipulate tabular data within web applications 75.
• 3.14.3. Ease of Integration and Compatibility with React
  Integrating ApexGrid into a React project involves installing the apex-grid and @lit-labs/react packages via npm 75. The createComponent function from @lit-labs/react is used to wrap the Apex grid into a React component 75. This wrapped component can then be used in React applications by passing data and column configurations as props 75.
• 3.14.4. Performance Characteristics
  The description of ApexGrid does not provide specific details on its performance characteristics, particularly with large datasets.
• 3.14.5. Customization Options
  The documentation for ApexGrid indicates that cell and table customization are possible, along with pre-made templates and themes 76. However, the provided snippets do not offer extensive details on the available customization options.
• 3.14.6. Notable Limitations or Drawbacks
  The provided research material does not highlight specific limitations or drawbacks of ApexGrid. As it requires an additional helper package (@lit-labs/react) for integration, this might be a consideration for some projects.

3.15. KendoReact Grid

• 3.15.1. Licensing Model
  KendoReact Grid is a premium component that requires either a commercial license key or an active trial license key for use in production 49. While KendoReact offers over 50 free components, the Grid is part of the premium set 49. Licensing is typically per developer, and the process involves purchasing a license, downloading a license key, installing it in the project, and activating it via a CLI command 49.
• 3.15.2. Key Features and Functionalities
  The KendoReact Data Grid offers a wide array of features, including data binding (streaming, remote), data analysis and review (filtering, sorting, grouping, aggregation), data exporting (PDF, Excel), data visualization (scrolling, paging), data editing (inline, in-cell, validation), custom cells, and comprehensive column and row management (locking, resizing, spanning, reordering, virtualization, master-detail layout) 50. It also provides user interactivity features like selection, context and column menus, clipboard support, and keyboard navigation, along with styling and accessibility options 50. Notably, it supports React Server Components (RSC) mode for server-side rendering and data operations 50.
• 3.15.3. Ease of Integration and Compatibility with React
  KendoReact Grid is a native React component built specifically for the React ecosystem 50. It is distributed via npm (@progress/kendo-react-grid) and leverages React’s component-based architecture 50. Integration involves importing the Grid component and defining columns using <GridColumn> components 50. It supports both a native client-side mode and an RSC mode for server-side rendering 50.
• 3.15.4. Performance Characteristics
  The KendoReact Data Grid is designed for efficient display and management of large datasets 50. It utilizes row and column virtualization, rendering only the visible data 50. The RSC mode further optimizes performance by offloading data operations and rendering to the server 50. This can lead to improved load times, reduced client-side JavaScript, and enhanced scalability 50.
• 3.15.5. Customization Options
  KendoReact Grid offers extensive customization options for various cell types through its cells property, available at both the Grid and GridColumn levels 51. This allows for custom rendering of data cells, header/footer/filter cells, edit cells, and hierarchy cells 51. The grid also provides options for styling, templates, and event handlers to control its appearance and behavior 50.
• 3.15.6. Notable Limitations or Drawbacks
  Some users have reported issues with KendoReact, including poor support, lacking or unclear documentation, missing basic features, and difficult component customization 77. TypeScript integration has also been mentioned as cumbersome 77. Additionally, the library can contribute to a larger bundle size, and some components might depend on jQuery 77. The PDF export functionality has certain limitations, such as no support for right-to-left content or hierarchical grids 118. Performance with a large number of records and frequent re-renders due to selection changes has also been noted as a potential issue 80.

3.16. Syncfusion React Data Grid

• 3.16.1. Licensing Model
  The Syncfusion React Data Grid is part of the Syncfusion Essential Studio suite and is not sold separately 82. It requires a Syncfusion team license, which includes over 1900 components and frameworks, with pricing starting at $395 per month for 5 developers 82. A free community license is available for smaller organizations meeting specific criteria 82.
• 3.16.2. Key Features and Functionalities
  The Syncfusion React Data Grid is a feature-rich component offering high performance (loading millions of records in a second), seamless data binding (local and remote sources), adaptive layout, flexible editing (CRUD operations), templating, customizable themes, exporting and printing (Excel, PDF, CSV), globalization and localization, and many advanced features like skeleton loading, column features, paging, sorting, filtering, selection, grouping, aggregation, frozen rows and columns, sticky header, row drag and drop, master-detail grid, state management, live updates, row height customization, copy to clipboard, and context menu 82.
• 3.16.3. Ease of Integration and Compatibility with React
  The Syncfusion React Data Grid is designed for seamless integration with React applications 82. It is installed via npm (npm install @syncfusion/ej2-react-grids) 86. The GridComponent and related directives (like ColumnsDirective and ColumnDirective) are imported and used within React components 85. Data binding is straightforward, supporting various data sources 82.
• 3.16.4. Performance Characteristics
  The Syncfusion React Data Grid is known for its high performance, capable of loading millions of records in just a second 52. It offers performance optimization techniques such as paging, row and column virtualization, and infinite scrolling for handling large datasets efficiently 88.
• 3.16.5. Customization Options
  The grid offers extensive customization options, including customizable themes via an online Theme Studio, various template options for creating custom UI experiences, and customization of columns (formatting, resizing, reordering, etc.) 82. Cell customization using templates and events is also supported 87.
• 3.16.6. Notable Limitations or Drawbacks
  The provided research material does not explicitly detail significant limitations of the Syncfusion React Data Grid 82. However, some users have reported aggressive sales tactics and potentially problematic licensing terms 89. Documentation has been criticized as difficult to navigate, with inconsistent examples 89. Technical issues like localization complexities and potential component cleanup problems have also been mentioned 89. There are also limitations with row virtual scrolling not being compatible with features like batch editing and detail templates, and limitations with column virtual scrolling requiring column widths to be in pixels and having restrictions with grouping and other features 83.

3.17. DevExtreme React Grid

• 3.17.1. Licensing Model
  The DevExtreme React Grid requires a commercial 12-month subscription for use in commercial applications 93. Licenses are per developer, and a license key is obtained via the DevExpress Download Manager after purchase 93. Royalty-free distribution of applications built with DevExtreme is allowed after purchasing a subscription 93.
• 3.17.2. Key Features and Functionalities
  The DevExtreme React Grid offers features like blazing-fast data processing (with server-side support), flexible data binding (local arrays, JSON, WebAPI, OData, custom remote services), adaptability to different screen sizes, master-detail layouts, powerful data shaping and record grouping, integrated filtering and search panel, built-in data editing and validation (various edit modes and validation rules), intuitive record selection, column and layout customization (fixed columns, resizing, reordering, hiding), data summaries (aggregate functions), comprehensive data export options (Excel), and touch optimization 92.
• 3.17.3. Ease of Integration and Compatibility with React
  The DevExtreme React Grid is a responsive React component designed for seamless integration with React applications 92. It is installed via npm (npm install devextreme devextreme-react) 28. The DataGrid component and related components like Column are imported and used within React components 95. Data binding is flexible, supporting various data sources 92.
• 3.17.4. Performance Characteristics
  The DevExtreme React Grid is built for speed and can handle large datasets with integrated server-side support for data operations 92. Performance optimization involves avoiding passing inline functions and objects as component props and ensuring unique keys for element collections to prevent unnecessary re-renders 94.
• 3.17.5. Customization Options
  The grid offers customization options for cell appearance using CSS classes, the onCellPrepared function, and the cellTemplate property 95. Row appearance can be customized using CSS and the onRowPrepared event handler or the dataRowTemplate property 95. The customizeText and calculateCellValue functions allow for customizing cell value and text 95.
• 3.17.6. Notable Limitations or Drawbacks
  The DevExtreme Reactive component libraries, which include the React Grid, are in maintenance support mode, with no new features planned and an end-of-life date of December 2025 96. This is a significant limitation for long-term projects.

3.18. DHTMLX Grid for React

• 3.18.1. Licensing Model
  DHTMLX Grid for React is part of the DHTMLX Suite UI library, which requires a commercial license 97. Licenses are available on a per-developer basis with different tiers for commercial and enterprise use 97. Perpetual licenses are offered with one year of updates and technical support included 100.
• 3.18.2. Key Features and Functionalities
  DHTMLX Grid for React offers features like cross-browser compatibility, IE11+ support, extensive customization, full control with a rich JavaScript API, TreeGrid mode, JSON data loading, multiline header and footer, column and row spans, custom cell templates, drag-n-drop of multiple rows, marking cells with min/max values, auto-calculated values in header/footer, ability to freeze columns and rows, auto width for columns, highlighting selected cells/rows, sorting, filtering, Excel export, and various cell editor types 97.
• 3.18.3. Ease of Integration and Compatibility with React
  Integrating DHTMLX Grid with React involves importing necessary files and styles, creating a React component class, adding an empty container with a reference, and initializing the Grid in the componentDidMount lifecycle method 97. Configuration is done through properties passed to the Grid instance 97.
• 3.18.4. Performance Characteristics
  The article comparing Bryntum Grid and DHTMLX Grid mentions that DHTMLX Grid has a scrolling frame rate of 25 FPS 99. While initial rendering speed might be good, lower FPS during scrolling could lead to a less smooth user experience, especially with large datasets 99. There have also been reports of the grid stopping to load with a certain number of rows 102.
• 3.18.5. Customization Options
  DHTMLX Grid for React provides extensive customization possibilities through a rich JavaScript API and CSS styling 97. Developers can add spans to any grid element, fine-tune sizes, specify auto column widths, freeze columns, and configure footers/headers to display aggregate values 97. Custom CSS classes can be added to style any grid element, and custom HTML can be inserted into cells 97.
• 3.18.6. Notable Limitations or Drawbacks
  Compared to Bryntum Grid, DHTMLX Grid has a lower scrolling frame rate, potentially impacting user experience with large datasets 99. The standalone Grid component has limited unique features compared to Bryntum Grid, which offers more widgets and segmentation options 99. Support requests are also limited in the Commercial plan 99. There have been reports of the grid stopping to load with a certain number of rows 102.

3.19. Wijmo’s FlexGrid

• 3.19.1. Licensing Model
  Wijmo’s FlexGrid requires a developer license for development and a deployment license for publishing applications 104. The licensing is per developer and deployment hostname 104. Different license types are available for internal/non-commercial use, commercial use, SaaS use, and OEM use, with varying pricing models, including annual subscriptions and perpetual licenses 104.
• 3.19.2. Key Features and Functionalities
  Wijmo’s FlexGrid offers a wide range of features, including data binding, sorting, filtering, grouping, paging, column customization (width, data maps, picker, reordering, dynamic columns, resizing, selecting, freezing, pinning, grouping), header tooltips, sticky headers, scrolling (virtualization, no scrollbars, fast scroller), editing (quick, read-only, validation, custom editors), filtering (Excel-like, custom), grouping with aggregates, row and column freezing, paging, adding/deleting records, cell templates, and Excel/PDF export 105. It also supports mouse and keyboard interactivity, selection, resizing, reordering, and drag and drop 105.
• 3.19.3. Ease of Integration and Compatibility with React
  Wijmo provides React components that allow using Wijmo controls in React JSX syntax 106. These components are wrappers for the underlying Wijmo controls 106. Installation involves installing npm packages (e.g., @mescius/wijmo.react.grid) and importing the components 106. CSS styles from @mescius/wijmo.styles also need to be imported 106.
• 3.19.4. Performance Characteristics
  FlexGrid can automatically set its height to fit content or can be limited using CSS, in which case it will show scrollbars and virtualize content to improve performance 107. It offers features like scroll virtualization and a fast scroller to handle large datasets 105.
• 3.19.5. Customization Options
  FlexGrid is known for its flexibility, allowing developers to configure it for various needs, customize cells with templates and themes, and incorporate an extensive range of APIs 76. It supports layout definitions, collapsible and custom column headers, styling of records, groups, and cells, and custom cell content and rendering 105.
• 3.19.6. Notable Limitations or Drawbacks
  The research material does not explicitly detail notable limitations or drawbacks of Wijmo’s FlexGrid in the context of React. However, as a commercial library, the licensing costs might be a consideration for some projects.

4. Comparative Analysis

The following table provides a comparative overview of some of the most prominent React data grid libraries based on the analysis above.

Library Name	License	Key Features	Ease of Integration	Performance (Large Datasets)	Customization Options	Notable Limitations
ag-grid Community	MIT	Sorting, filtering, pagination, virtualization, custom cell rendering, theming	Easy via npm and React component	Strong, virtual rendering	Extensive theming and component customization	Larger bundle size, jsdom testing limitations
ag-grid Enterprise	Commercial	All Community features + server-side data, advanced export, pivot, charting, row grouping	Easy via npm and React component	Excellent, optimized for large data	Very extensive, all aspects customizable	Commercial license required for production
React Table (TanStack Table)	MIT	Headless UI, sorting, filtering, pagination, row grouping, virtualization, framework agnostic	Easy via React hooks	Lightweight, virtualization	100% control over UI, highly flexible	Requires manual UI implementation, managing responsiveness
Material React Table	MIT	Built on Material UI & TanStack Table, sorting, filtering, pagination, virtualization, editing, grouping, column pinning	Easy via React component and hooks, integrates with Material UI	Lightweight, virtualization	Extensive via props and Material UI theming	No column spanning, potential limitations with CSV export & SSR
MUI X DataGrid (Community)	MIT	Editing, pagination, column grouping, sorting, filtering, virtualization (limited to 100 rows)	Easy via npm and React component, integrates with Material UI	Good, row & column virtualization	Various styling options via sx prop and column/row properties	Row virtualization limited to 100 rows in free version
MUI X DataGrid (Pro/Premium)	Commercial	All Community features + advanced filtering, column pinning, tree data, Excel export, row grouping, pivoting	Easy via npm and React component, integrates with Material UI	Excellent, virtualization for large datasets	Extensive styling and feature customization	Commercial license required
React Virtualized	MIT	Specifically for large lists/tabular data, virtualization, customizable layouts	Easy via npm and React components	Excellent, focus on virtualization	Styling and component composition	Larger bundle size compared to alternatives
Griddle	MIT	Highly customizable, plugin support, built-in filtering	Easy via npm and React component	Not specifically detailed	Ultra-customizable components and methods	Not actively maintained, basic features may require effort
React Datasheet	MIT	Spreadsheet-like interface, cell selection, copy/paste, keyboard navigation, custom renderers/editors	Easy via npm and React component	Not specifically detailed	Custom rendering of sheet, rows, cells, values, and editors	Not actively maintained
PrimeReact DataTable	MIT	Comprehensive features (sorting, filtering, pagination, virtualization, editing, grouping, etc.)	Easy via npm and React components	Good, lazy loading and virtual scroll	Wide range of props for customization, templating	No explicit limitations mentioned, potential performance issues with very large data or complex interactions
Mantine React Table	MIT	Built on Mantine & TanStack Table, comprehensive features, localization	Easy via React component and hooks, integrates with Mantine	Efficient bundle size, virtualization	Extensive via props and Mantine theming	No column spanning, no row context menu
SVAR React DataGrid	MIT	Tree data, optimized for large datasets, in-cell editing, context menu, frozen columns	Designed for React integration	High performance, virtual scrolling, dynamic loading	Column width customization, light/dark themes, context menu	Not explicitly detailed
Revogrid (Community)	MIT (Pro version commercial)	In-cell editing, sorting, filtering, virtualization, column grouping	Easy via React wrapper	High performance, virtual scrolling	Custom sizes, resizing, pinning, grouping	Some advanced features in Pro version
KendoReact Grid	Commercial	Comprehensive features, data binding, editing, sorting, filtering, grouping, virtualization, RSC mode	Native React components, supports RSC	High performance, virtualization, RSC mode	Extensive customization of cells and other elements	Large bundle size, commercial license required, some reported issues with support and documentation
Syncfusion React Data Grid	Commercial	High performance, extensive features (editing, filtering, sorting, grouping, exporting), adaptive layout	Easy via npm and React components	Excellent performance, loads millions of records	Extensive theming and templating options	Commercial license required, some reports of aggressive sales and documentation issues
DevExtreme React Grid	Commercial	High performance, flexible data binding, comprehensive features (editing, filtering, sorting, grouping, export), adaptive UI	Responsive React component, easy data binding	Excellent, built for speed and large datasets	Various options for customizing cell and row appearance	Commercial license required, in maintenance support mode (end-of-life Dec 2025)
DHTMLX Grid for React	Commercial	Extensive customization, TreeGrid mode, various features (sorting, filtering, editing, export)	Relatively straightforward integration as a React component	Moderate performance, scrolling frame rate might be lower	Extensive customization via API and CSS	Lower scrolling performance compared to some alternatives, commercial license required
Wijmo’s FlexGrid	Commercial	Feature-rich (data binding, sorting, filtering, grouping, editing, export), flexible layout	React components, easy to use	Good performance with virtualization	Highly customizable appearance and behavior	Commercial license required

5. Conclusion and Recommendations

The landscape of React data grid libraries is rich and varied, offering solutions for virtually any project requirement. The analysis reveals that the choice of library often involves trade-offs between factors like cost, features, performance, and customization.

For enterprise-level applications demanding an extensive feature set and high performance, ag-grid Enterprise and MUI X DataGrid Premium stand out as robust commercial options. They offer advanced functionalities like server-side data handling, sophisticated data manipulation features, and dedicated support.

Projects prioritizing exceptional performance and the ability to handle extremely large datasets might find React Virtualized to be a compelling open-source choice due to its focus on virtualization techniques.

Developers already invested in the Material UI ecosystem and needing a feature-rich and highly customizable table should consider Material React Table or MUI X DataGrid (both the Community and Pro/Premium versions, depending on the required feature set and budget). Similarly, for those using the Mantine UI library, Mantine React Table provides a well-integrated and feature-rich solution.

For developers who require maximum control over the UI and are comfortable with implementing their own styling and components, the headless nature of React Table (TanStack Table) offers unparalleled flexibility.

Applications with specific needs for spreadsheet-like functionalities might explore React Spreadsheet Grid or React Datasheet. However, it is important to note that React Datasheet is no longer actively maintained, and the maintenance status of React Spreadsheet Grid should be verified.

Smaller to mid-size projects with budget constraints can find excellent open-source options in ag-grid Community and MUI X DataGrid Community, both of which offer a solid foundation of features for common use cases. SVAR React DataGrid and Revogrid (Community version) also present promising free alternatives with a good set of functionalities.

Ultimately, the optimal data grid library depends on the specific needs and constraints of the project. It is crucial to carefully evaluate factors such as budget, performance requirements, integration with existing UI frameworks, the specific features required, and the level of customization needed. Before making a final decision, it is highly recommended to try out the top contenders with a small prototype to assess their suitability and ease of use firsthand within the project’s context.

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