Frappé Charts vs React Chartkick

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Frappé Charts

7
15
+ 1
2
React Chartkick

0
11
+ 1
0
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Frappé Charts vs React Chartkick: What are the differences?

Frappé Charts: GitHub-inspired simple and modern charts for the web with zero dependencies. 📊🍩📈 Simple, responsive, modern SVG Charts with zero dependencies; React Chartkick: Create beautiful JavaScript charts with one line of React. Create beautiful JavaScript charts with one line of React

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Frappé Charts and React Chartkick belong to "Charting Libraries" category of the tech stack.

Frappé Charts and React Chartkick are both open source tools. Frappé Charts with 12.6K GitHub stars and 524 forks on GitHub appears to be more popular than React Chartkick with 1.07K GitHub stars and 53 GitHub forks.

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Pros of Frappé Charts
Pros of React Chartkick
  • 1
    SVG based
  • 1
    Small bundlesize
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    No Stats

    What is Frappé Charts?

    📊🍩📈 Simple, responsive, modern SVG Charts with zero dependencies

    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 companies use Frappé Charts?
    What companies use React Chartkick?
      No companies found
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      What tools integrate with Frappé Charts?
      What tools integrate with React Chartkick?
        No integrations found
        What are some alternatives to Frappé Charts 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