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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Koto vs NVD3

Koto vs NVD3

OverviewComparisonAlternatives

Overview

NVD3
NVD3
Stacks109
Followers30
Votes0
GitHub Stars7.2K
Forks2.1K
Koto
Koto
Stacks1
Followers13
Votes0
GitHub Stars277
Forks13

Koto vs NVD3: What are the differences?

Developers describe Koto as "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. On the other hand, NVD3 is detailed as "Re-usable charts for d3.js". 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.

Koto and NVD3 belong to "Charting Libraries" category of the tech stack.

Koto and NVD3 are both open source tools. It seems that NVD3 with 6.93K GitHub stars and 2.23K forks on GitHub has more adoption than Koto with 281 GitHub stars and 15 GitHub forks.

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Detailed Comparison

NVD3
NVD3
Koto
Koto

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.

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.

Build re-usable charts and chart components ;Keep components very customizable
-
Statistics
GitHub Stars
7.2K
GitHub Stars
277
GitHub Forks
2.1K
GitHub Forks
13
Stacks
109
Stacks
1
Followers
30
Followers
13
Votes
0
Votes
0
Integrations
HTML5
HTML5
D3.js
D3.js
JavaScript
JavaScript
Firefox
Firefox
Google Chrome
Google Chrome
Opera Browser
Opera Browser
D3.js
D3.js
ES6
ES6

What are some alternatives to NVD3, 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.

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.

Chart.js

Chart.js

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

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.

AnyChart

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.

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