@tanstack/react-table vs react-virtualized

Side-by-side comparison of @tanstack/react-table and react-virtualized

@tanstack/react-table v8.21.3 MIT
Weekly Downloads
7.6M
Stars
27.7K
Gzip Size
18.8 kB
License
MIT
Last Updated
11d ago
Open Issues
349
Forks
3.5K
Unpacked Size
761.9 kB
Dependencies
3
react-virtualized v9.22.6 MIT
Weekly Downloads
1.4M
Stars
27.1K
Gzip Size
License
MIT
Last Updated
1y ago
Open Issues
0
Forks
3.0K
Unpacked Size
2.2 MB
Dependencies

Download Trends

Download trends for @tanstack/react-table and react-virtualized06.9M13.9M20.8M27.7MFeb 25May 25Aug 25Nov 25Feb 26
@tanstack/react-table
react-virtualized

Verdict

@tanstack/react-table serves as a powerful headless UI specifically designed for building customizable tables and datagrids within React applications, making it ideal for developers who prioritize flexibility and complex data handling. In contrast, react-virtualized is focused on the efficient rendering of large lists and tabular data, excelling in cases where performance during scrolling is critical, particularly for massive datasets.

For teams working on large-scale applications that require extensive table customization and features such as filtering, sorting, and pagination, @tanstack/react-table may be the preferred choice due to its comprehensive tooling and hooks. Alternatively, react-virtualized would be more suitable for projects needing to handle significant amounts of data with optimal performance, especially in scenarios where virtual scrolling enhances the user experience.

While both solutions have their strengths, developers might face considerations around their learning curves and implementation complexities. @tanstack/react-table's broader feature set could mean a steeper learning process, whereas react-virtualized, with its focus on virtualization, may be simpler to implement if the primary need is performance during data-heavy interactions.

Detailed Comparison

Criteria @tanstack/react-table react-virtualized
Open Issues Currently has 348 open issues, indicating ongoing development and support needs. No open issues, suggesting stability and fewer unresolved concerns.
Performance Excellent features may affect performance in very large datasets. Specifically optimized for performance with large amounts of data.
GitHub Forks Has more forks at 3.5K, suggesting extensive experimentation and community contribution. 3.0K forks, good but slightly less engagement from the community.
GitHub Stars Highly rated with 27.7K stars, showing strong developer interest. Close behind with 27.1K stars, indicating a solid reputation.
Last Updated Last updated on 2026-01-28, indicating current relevance. Updated on 2025-01-20, also current but slightly earlier.
Unpacked Size Smaller at 761.9 kB, which may enhance initial loading. Larger at 2.2 MB, which could impact loading times.
Learning Curve Might require more initial investment to utilize its full feature set. Easier to pick up for simple use cases focusing on virtualization.
Weekly Downloads Widely popular with 7.5M downloads, indicating strong community usage. Less popular but still significant at 1.4M downloads.
Bundle Size (gzip) Minimal bundle size of 18.8 kB, contributing to performance efficiency. Not specified but inferred larger due to the unpacked size.
TypeScript Support Supports TypeScript for strong type checking. TypeScript support not explicitly mentioned but is likely.
Overall Positioning Specialized for customizable tables and datagrids in React. Optimized for efficiently rendering large scrollable lists and tables.

Related Comparisons