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Epoch by Fastly

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vx

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Epoch by Fastly vs vx: 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, vx is detailed as "react + d3 = vx | visualization components". vx is collection of reusable low-level visualization components. vx combines the power of d3 to generate your visualization with the benefits of react for updating the DOM.

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

Epoch by Fastly and vx are both open source tools. vx with 6.15K GitHub stars and 283 forks on GitHub appears to be more popular than Epoch by Fastly with 4.99K GitHub stars and 292 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 vx?

vx is collection of reusable low-level visualization components. vx combines the power of d3 to generate your visualization with the benefits of react for updating the DOM.

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What tools integrate with Epoch by Fastly?
What tools integrate with vx?
    No integrations found
    What are some alternatives to Epoch by Fastly and vx?
    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