@visx/visx vs recharts

Side-by-side comparison of @visx/visx and recharts

@visx/visx v3.12.0 MIT
Weekly Downloads
77.4K
Stars
20.6K
License
MIT
Last Updated
2mo ago
Open Issues
147
Forks
755
Unpacked Size
12.3 kB
recharts v3.7.0 MIT
Weekly Downloads
13.9M
Stars
26.6K
License
MIT
Last Updated
11h ago
Open Issues
444
Forks
1.9K
Unpacked Size
6.4 MB

Download Trends

Download trends for @visx/visx and recharts012.0M24.0M36.0M48.0MFeb 25May 25Aug 25Nov 25Feb 26
@visx/visx
recharts

Verdict

@visx/visx serves as a comprehensive toolkit for creating data visualizations in React, making it ideal for developers looking for a cohesive set of visualization tools. On the other hand, recharts is highly suitable for those who need a straightforward approach to build React charts with reusable components, focusing on performance and ease of use.

For projects that require sophisticated and customizable visualizations, especially in data-heavy applications, @visx/visx is the better choice. Conversely, if the goal is to quickly implement charts with a less steep learning curve, especially in smaller applications or by less experienced developers, recharts would be more appropriate. The larger community and higher weekly downloads of recharts may also appeal to teams seeking readily available resources and support.

While both packages are built with React in mind and allow for extensive customization, teams considering @visx/visx should be prepared for a steeper learning curve and a more complex setup. In contrast, recharts offers a more plug-and-play experience but at the cost of potential limitations in customization for advanced use cases.

Detailed Comparison

Criteria @visx/visx recharts
Bundle Size Unpacked size is 12.3 kB, indicating a minimal footprint. Unpacked size of 6.4 MB is significantly larger.
Open Issues 147 open issues may indicate potential challenges or areas needing attention. 446 open issues might signal a more complex package to maintain.
GitHub Forks 755 forks suggest good engagement for personal modifications. 1.9K forks show significant user contributions.
GitHub Stars 20.6K stars reflect a solid interest level. 26.6K stars indicate a strong community backing.
Last Updated Last updated on 2025-11-11, suggesting ongoing support. Last updated on 2026-02-07, indicating recent activity.
Learning Curve Requires more experience to fully utilize its capabilities. Easier for beginners with quicker implementation.
Weekly Downloads 77.6K weekly downloads indicate moderate usage. 13.9M weekly downloads show strong community adoption.
Community Support Moderate community support with a solid base. Strong community support with many examples and resources.
Overall Positioning @visx/visx is best for complex and customizable visualizations. recharts excels in simplicity and speed for common chart types.
Use Case Suitability More suitable for complex data visualization projects. Ideal for simple charts in various projects.
Customization Flexibility Highly customizable for detailed visualizations. More limited customization for rapid deployment.

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