C3.js vs D3.js vs Victory
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications. | A collection of composable React components for building interactive data visualizations. |
Declarative Approach for Individual Nodes Manipulation;
Functions Factory;
Web Standards;
Built-in ELement Inspector to Debug;
Uses SVG, Canvas, and HTML;
Data-driven approach to DOM Manipulation;
Voronoi Diagrams;
Maps and topo. | Comfortable - C3 makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. We don't need to write D3 code any more.;Customizable - C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3.;Controllable - C3 provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even if after it's rendered. | Robust; Flexible; Native |
Statistics | ||
GitHub Stars 111.7K | GitHub Stars - | GitHub Stars 11.2K |
GitHub Forks 22.9K | GitHub Forks - | GitHub Forks 537 |
Stacks 2.0K | Stacks 398 | Stacks 44 |
Followers 1.7K | Followers 163 | Followers 83 |
Votes 653 | Votes 4 | Votes 0 |
Pros & Cons | ||
Pros
Cons
| Pros
Cons
| No community feedback yet |
Integrations | ||
| No integrations available | ||
What are some alternatives to D3.js, C3.js, Victory?
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.
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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
Recharts
Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.
ECharts
It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.
ZingChart
The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.
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.
CanvasJS
Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.
AnyChart
AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.
ApexCharts
A modern JavaScript charting library to build interactive charts and visualizations with simple API.
