PACKAGE · CHARTS

echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser

WEEKLY DOWNLOADS 1.6M
STARS 66.5K
FORKS 19.8K
OPEN ISSUES 1.6K
GZIP SIZE 383.8 kB
UNPACKED SIZE 60.3 MB
LAST UPDATED 10mo ago
DOWNLOAD TRENDS

echarts downloads — last 12 months

Download trends for echarts1 download series from Jun 2025 to May 2026. Use left and right arrow keys to inspect monthly values.03.2M6.5M9.7M12.9MJun 2025SepDecMarMay 2026
echarts
ABOUT ECHARTS

Apache ECharts is a sophisticated charting and data visualization library designed to render interactive charts directly in the browser. It addresses the need for dynamic and informative data displays by offering a comprehensive suite of chart types and customization options, solving the complexity of creating visually engaging data representations from scratch within web applications. The library's design prioritizes flexibility and power, catering to developers who require extensive control over chart appearance and behavior.

Its core philosophy centers on providing a declarative API for defining chart configurations, making it accessible for developers familiar with JSON-based configurations. ECharts aims to empower data analysts and front-end developers alike to transform raw data into insightful visual narratives without requiring deep expertise in graphics programming. The library's extensive documentation and active community support further reinforce its goal of democratizing sophisticated data visualization.

Key API patterns revolve around initializing an ECharts instance on a specific DOM element and then setting or merging options objects that define the chart's series, axes, legends, and tooltip behaviors. For instance, the `setOption` method is central to updating chart data and configurations dynamically. ECharts also supports event handling, allowing developers to react to user interactions like clicks or hovers on chart elements, and offers an extensive API for programmatically controlling chart states and interactions.

ECharts integrates seamlessly into various front-end JavaScript workflows. It can be used directly in plain HTML/JavaScript projects, or adopted within popular frameworks like React, Vue, and Angular through community-maintained wrappers or direct ES module imports. Its flexibility extends to different rendering modes, supporting both Canvas and SVG, allowing developers to choose based on performance needs or interactive requirements for specific chart types and use cases.

The library is notable for its maturity and extensive feature set, derived from its origins as a widely adopted charting solution. Developers should be aware that the unpacked size of 60.3 MB is considerable, though the gzipped bundle size of 383.8 kB is more representative of its on-the-wire footprint. This trade-off signifies a rich library with many capabilities, necessitating careful consideration of import strategies to manage application bundle sizes effectively.

A potential limitation to consider is the learning curve associated with its comprehensive configuration options. While powerful, mastering the full spectrum of ECharts' capabilities and fine-tuning complex chart interactions may require a dedicated investment in understanding its API. For very simple, static charts, a lighter-weight charting solution might offer a quicker integration path and a smaller dependency footprint.

WHEN TO USE
  • When you need to render a wide array of complex chart types such as line, bar, pie, scatter, heatmap, and network graphs within a web interface.
  • When creating highly interactive data visualizations that respond to user input with features like zooming, panning, and data highlighting.
  • When integrating advanced charting capabilities into single-page applications built with frameworks like React, Vue, or Angular, utilizing provided component wrappers or direct ES module imports.
  • When requiring fine-grained control over chart aesthetics, including custom themes, gradients, animations, and complex data mapping through its declarative `setOption` API.
  • When dealing with large datasets that benefit from ECharts' efficient rendering capabilities, especially when choosing between Canvas and SVG rendering based on specific chart needs.
  • When building dashboards or reporting tools that require multiple, diverse charts on a single page, managed efficiently through distinct ECharts instances.
WHEN NOT TO USE
  • If your requirement is for a very basic, static chart with minimal interactivity, a simpler charting library with a smaller bundle size will suffice.
  • If you need to embed charts directly into server-rendered HTML without client-side JavaScript execution, ECharts' client-side rendering approach is not suitable.
  • When the application's total JavaScript bundle size is extremely constrained, and even the gzipped 383.8 kB footprint of ECharts is prohibitive, consider alternatives focusing on minimal dependencies.
  • If you only need to display a single, straightforward chart type and don't anticipate needing the extensive configuration options or advanced features ECharts offers.
  • When developing for environments with very limited memory or processing power where the overhead of initializing and rendering ECharts might be too significant.

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