Chartify vs Plotly.js

Chartify

0
4
+ 1
0
Plotly.js

253
465
+ 1
66
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Chartify vs Plotly: What are the differences?

Developers describe Chartify as "A React.js plugin for building customizable charts". Build charts with CSS in React. On the other hand, Plotly is detailed as "The Web's fastest growing charting libraries". 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.

Chartify and Plotly can be primarily classified as "Charting Libraries" tools.

Chartify and Plotly are both open source tools. Plotly with 10.4K GitHub stars and 1.21K forks on GitHub appears to be more popular than Chartify with 633 GitHub stars and 22 GitHub forks.

Pros of Chartify
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    Cons of Chartify
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      What is Chartify?

      Build charts with CSS in React

      What is 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.
      What companies use Chartify?
      What companies use Plotly.js?
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        What tools integrate with Chartify?
        What tools integrate with Plotly.js?

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        What are some alternatives to Chartify and Plotly.js?
        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.
        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.
        See all alternatives
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