CanvasJS vs KoolChart
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
It is an HTML5 CANVAS-based charting solution with excellent performance. It works on all HTML5-supported browsers. With a single development effort, the chart layout and style can be used on multiple devices. | Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices. |
Separate Layout and Dataset, which enhances productivity and quality;Use the out-of-the-box drill-down functionality without depth limitation;Handle events using JavaScript;Simulate charts with Data Editor | 30+ Chart Types;
Renders across Devices & Platforms;
Real-time Analytics;
Themes;
Interactivity;
Zooming & Panning;
Drilldown Chart;
Ticks, Grids;
Interlaced Colors;
Synchronized Charts;
Tooltip Syncing;
Crosshair Syncing;
Multiple Axes;
Logarithmic Axes;
Exporting as Image;
Trend Lines;
Numeric Axis;
Date-Time Axis;
Category Axis;
Reversed Axis;
Multiseries Chart;
Dynamic Chart;
Advanced Axis Labelling;
Event Handlers;
|
Statistics | |
Stacks 1 | Stacks 24 |
Followers 3 | Followers 95 |
Votes 0 | Votes 20 |
Pros & Cons | |
No community feedback yet | Pros
Cons
|
Integrations | |
What are some alternatives to KoolChart, CanvasJS ?
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.
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.
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.
