chart.js vs echarts
Side-by-side comparison of chart.js and echarts
- Weekly Downloads
- 6.8M
- Stars
- 67.1K
- Gzip Size
- 71.4 kB
- License
- MIT
- Last Updated
- 2mo ago
- Open Issues
- 525
- Forks
- 12.0K
- Unpacked Size
- 6.2 MB
- Dependencies
- 2
- Weekly Downloads
- 1.8M
- Stars
- 65.7K
- Gzip Size
- —
- License
- Apache-2.0
- Last Updated
- 3d ago
- Open Issues
- 1.8K
- Forks
- 19.8K
- Unpacked Size
- 57.6 MB
- Dependencies
- —
Download Trends
Verdict
chart.js is well-suited for projects needing simple, straightforward HTML5 charts with a focus on the canvas element. Its versatility and ease of use make it ideal for developers who want to quickly implement various chart types without extensive overhead.
echarts offers a more robust, interactive solution for complex data visualizations, catering to developers who require features like advanced data handling and interactivity. It's preferable for larger projects or teams that are comfortable managing a more substantial codebase and tackling advanced visualization needs.
The choice between chart.js and echarts hinges on project complexity and team experience. State management and the learning curve can be more pronounced with echarts due to its larger size and broader capabilities compared to the simpler setup of chart.js.
Detailed Comparison
| Criteria | chart.js | echarts |
|---|---|---|
| License | ✓MIT | Apache-2.0 |
| Version | 4.5.1 | ✓6.0.0 |
| Description | ✓Simple HTML5 charts focusing on ease of use. | Powerful interactive charting and data visualization library. |
| Open Issues | ✓525 open issues, suggesting moderate ongoing concerns. | 1.8K open issues, reflecting a need for more attention or complexity. |
| GitHub Forks | 12.0K forks showing high versatility and development interest. | ✓19.8K forks indicating strong community contributions. |
| GitHub Stars | ✓67.1K demonstrating strong community support. | 65.7K indicating robust but slightly lower engagement. |
| Unpacked Size | ✓6.2 MB is relatively lightweight. | 57.6 MB indicates a much heavier library. |
| Learning Curve | ✓Lower due to its simplicity and intuitive API. | Higher due to more features and complexity. |
| Target Audience | ✓Great for quick implementations and smaller projects. | Ideal for developers needing advanced features for larger data sets. |
| Weekly Downloads | ✓6.8M indicating high popularity. | 1.8M which is lower, suggesting a smaller user base. |
| Bundle Size (gzip) | ✓71.4 kB, which is efficient for web use. | No data provided to compare. |