Epoch by Fastly vs React Chartkick

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Epoch by Fastly

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React Chartkick

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Epoch by Fastly vs React Chartkick: What are the differences?

Developers describe Epoch by Fastly as "A general purpose real-time charting library for building beautiful, smooth, and high performance visualizations". 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. On the other hand, React Chartkick is detailed as "Create beautiful JavaScript charts with one line of React". Create beautiful JavaScript charts with one line of React

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Epoch by Fastly and React Chartkick belong to "Charting Libraries" category of the tech stack.

Some of the features offered by Epoch by Fastly are:

  • Built for Developers - open source
  • Real-time Charting
  • Unified Styling

On the other hand, React Chartkick provides the following key features:

  • Line charts
  • Pie charts
  • Column charts

Epoch by Fastly and React Chartkick are both open source tools. It seems that Epoch by Fastly with 4.99K GitHub stars and 292 forks on GitHub has more adoption than React Chartkick with 1.07K GitHub stars and 53 GitHub forks.

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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.

What is React Chartkick?

Create beautiful JavaScript charts with one line of React

Need advice about which tool to choose?Ask the StackShare community!

What tools integrate with Epoch by Fastly?
What tools integrate with React Chartkick?
    No integrations found
    What are some alternatives to Epoch by Fastly and React Chartkick?
    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.
    Chart.js
    Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
    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.
    Matplotlib
    It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
    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.
    See all alternatives