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  1. Stackups
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  4. Charting Libraries
  5. Chart.js vs Koto

Chart.js vs Koto

OverviewDecisionsComparisonAlternatives

Overview

Chart.js
Chart.js
Stacks2.0K
Followers786
Votes44
GitHub Stars66.7K
Forks12.0K
Koto
Koto
Stacks1
Followers13
Votes0
GitHub Stars277
Forks13

Chart.js vs Koto: What are the differences?

What is Chart.js? Simple, clean and engaging charts for designers and developers. Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

What is Koto? A D3 charting framework written in ES6. KotoJS is HEAVILY inspired by another reusable charting framework maintained by the Miso Project called d3.chart. I think that project is well designed and well documented. For those who are not familiar with d3.chart, the framework provides a logical way to ensure that all data-visualization components that are authored using the framework are done in a way that facilitates re-usablily.

Chart.js and Koto can be categorized as "Charting Libraries" tools.

Chart.js and Koto are both open source tools. Chart.js with 44.3K GitHub stars and 9.71K forks on GitHub appears to be more popular than Koto with 282 GitHub stars and 15 GitHub forks.

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Advice on Chart.js, Koto

Shaik
Shaik

Feb 18, 2020

Needs advice

I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use

246k views246k
Comments
Sudhan
Sudhan

Dec 23, 2019

Needs advice

I'm developing angular 8 application, I need to create a dynamic, custom charts based on the data, Charts options will be configured with a user input form. at any time users can edit and modify the chart options. even I dont know how many charts I have to create everything is dynamic. ( based on the user configuration chart counts will vary ). I need some suggestions on which chart will give these kinds of flexible options.

42.8k views42.8k
Comments

Detailed Comparison

Chart.js
Chart.js
Koto
Koto

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

KotoJS is HEAVILY inspired by another reusable charting framework maintained by the Miso Project called d3.chart. I think that project is well designed and well documented. For those who are not familiar with d3.chart, the framework provides a logical way to ensure that all data-visualization components that are authored using the framework are done in a way that facilitates re-usablily.

animated;HTML5 based;Responsive;Modular;Bar;Doughnut;Radar;Line;Polar Area;Interactive
-
Statistics
GitHub Stars
66.7K
GitHub Stars
277
GitHub Forks
12.0K
GitHub Forks
13
Stacks
2.0K
Stacks
1
Followers
786
Followers
13
Votes
44
Votes
0
Pros & Cons
Pros
  • 19
    Offers all types of charts
  • 14
    Interactive Charts
  • 10
    It's totally free
Cons
  • 12
    Slow rendering
  • 2
    Bitmap quality export
  • 1
    Low quality zoom plugin
  • 0
    It's totally free
No community feedback yet
Integrations
React
React
AngularJS
AngularJS
D3.js
D3.js
ES6
ES6

What are some alternatives to Chart.js, Koto?

D3.js

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.

Underscore

Underscore

A JavaScript library that provides a whole mess of useful functional programming helpers without extending any built-in objects.

Deno

Deno

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.

Highcharts

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

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.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

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

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

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

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.

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