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C3.js vs Victory: What are the differences?
C3.js: A D3-based reusable chart library. c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications; Victory: ReactJS library for building interactive data visualizations. A collection of composable React components for building interactive data visualizations.
C3.js and Victory can be primarily classified as "Charting Libraries" tools.
C3.js and Victory are both open source tools. C3.js with 8.42K GitHub stars and 1.4K forks on GitHub appears to be more popular than Victory with 7.26K GitHub stars and 309 GitHub forks.
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Learn MorePros of C3.js
Pros of Victory
Pros of C3.js
- Easy to use2
- Reusable charts2
Pros of Victory
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Cons of C3.js
Cons of Victory
Cons of C3.js
- Dependent on D3.js which is not lightweight1
Cons of Victory
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- No public GitHub repository available -
What is C3.js?
c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.
What is Victory?
A collection of composable React components for building interactive data visualizations.
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What companies use Victory?
What companies use C3.js?
What companies use Victory?
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What tools integrate with C3.js?
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What tools integrate with C3.js?
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What are some alternatives to C3.js and Victory?
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.
NVD3
This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you. This is a very young collection of components, with the goal of keeping these components very customizable, staying away from your standard cookie cutter solutions.
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.
jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.