Dashboards by Keen IO vs Epoch by Fastly

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Dashboards by Keen IO
Dashboards by Keen IO

6
23
+ 1
0
Epoch by Fastly
Epoch by Fastly

3
10
+ 1
0
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Dashboards by Keen IO vs Epoch by Fastly: What are the differences?

Developers describe Dashboards by Keen IO as "Responsive dashboard templates for Bootstrap". Building an analytics dashboard? Don’t start from scratch. Grab one of our Bootstrap-based templates and admire your data in minutes. On the other hand, Epoch by Fastly is detailed 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.

Dashboards by Keen IO and Epoch by Fastly can be categorized as "Charting Libraries" tools.

Dashboards by Keen IO and Epoch by Fastly are both open source tools. It seems that Dashboards by Keen IO with 10.5K GitHub stars and 1.39K forks on GitHub has more adoption than Epoch by Fastly with 4.99K GitHub stars and 292 GitHub forks.

What is Dashboards by Keen IO?

Building an analytics dashboard? Don’t start from scratch. Grab one of our Bootstrap-based templates and admire your data in minutes.

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 are some alternatives to Dashboards by Keen IO and Epoch by Fastly?
                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.
                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.
                Chart.js
                Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
                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.
                Plotly
                Plotly.js is the only open-source JavaScript library for data visualization in the sciences and engineering. Open-source interfaces to Plotly.js are available for Python, R, MATLAB, and React.
                See all alternatives
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