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ECharts

137
258
+ 1
30
Epoch by Fastly

9
16
+ 1
0
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ECharts vs Epoch by Fastly: What are the differences?

## Key Differences between ECharts and Epoch by Fastly

<Write introduction here>

1. **Performance and Scalability**: ECharts is known for its high performance and the ability to handle large datasets efficiently, while Epoch by Fastly is designed for real-time data visualization, making it more suitable for streaming data applications.
2. **Chart Types and Customization**: ECharts offers a wide variety of chart types and extensive customization options, enabling users to create visually appealing and interactive charts. On the other hand, Epoch focuses on providing a subset of essential chart types with limited customization capabilities.
3. **Ease of Use and Learning Curve**: ECharts has a steeper learning curve due to its extensive feature set and configuration options, requiring users to invest time in understanding its complexities. In contrast, Epoch aims to provide a user-friendly interface with simpler configuration options, making it easier to use for beginners.
4. **Community Support and Documentation**: ECharts has a larger and more active community with comprehensive documentation, tutorials, and forums for troubleshooting and sharing knowledge. Epoch, being a newer tool, may have limited community support and resources available for users.
5. **Integration with Existing Systems**: ECharts has strong support for integrations with popular frameworks and libraries, making it easier to implement in existing applications. Epoch may have limited compatibility and integration options, which could require more effort for seamless integration with other systems.
6. **Updates and Maintenance**: ECharts has a more frequent update cycle, with regular releases and bug fixes to improve stability and performance. Epoch may have a slower update schedule, potentially affecting the availability of new features and improvements for users.

In Summary, ECharts and Epoch by Fastly differ in terms of performance, chart types, ease of use, community support, integration capabilities, and update cycles.
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Pros of ECharts
Pros of Epoch by Fastly
  • 7
    East to implement
  • 6
    Smaller learning curve
  • 5
    Free to use
  • 4
    Vue Compatible
  • 3
    Very customizable
  • 3
    Angular compatible
  • 2
    React compatible
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    Cons of ECharts
    Cons of Epoch by Fastly
    • 2
      Support is in chinese
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      What is ECharts?

      It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

      What is Epoch by Fastly?

      Epoch is a general purpose charting library for application developers and visualization designers. It focuses on two different aspects of visualization programming: basic charts for creating historical reports, and real-time charts for displaying frequently updating timeseries data.

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      What companies use ECharts?
      What companies use Epoch by Fastly?
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        What tools integrate with ECharts?
        What tools integrate with Epoch by Fastly?
          No integrations found

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          What are some alternatives to ECharts and Epoch by Fastly?
          Highcharts
          Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
          Google Charts
          It is an interactive Web service that creates graphical charts from user-supplied information. The user supplies data and a formatting specification expressed in JavaScript embedded in a Web page; in response the service sends an image of the chart.
          D3.js
          It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
          Plotly.js
          It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
          amCharts
          amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.
          See all alternatives