ApexCharts vs dimple

Overview

dimple

Stacks8

Followers20

Votes0

GitHub Stars2.7K

Forks546

ApexCharts

Stacks135

Followers238

Votes16

GitHub Stars15.0K

Forks1.4K

ApexCharts vs dimple: What are the differences?

Developers describe ApexCharts as "📊 Interactive SVG Charts for React and Vue.js". A modern JavaScript charting library to build interactive charts and visualizations with simple API. On the other hand, dimple is detailed as "An object-oriented API for business analytics powered by D3". The aim of dimple is to open up the power and flexibility of d3 to analysts. It aims to give a gentle learning curve and minimal code to achieve something productive. It also exposes the d3 objects so you can pick them up and run to create some really cool stuff.

ApexCharts and dimple belong to "Charting Libraries" category of the tech stack.

ApexCharts and dimple are both open source tools. ApexCharts with 6.57K GitHub stars and 295 forks on GitHub appears to be more popular than dimple with 2.72K GitHub stars and 575 GitHub forks.

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CLI (Node.js)

Manual

Detailed Comparison

dimple	ApexCharts
The aim of dimple is to open up the power and flexibility of d3 to analysts. It aims to give a gentle learning curve and minimal code to achieve something productive. It also exposes the d3 objects so you can pick them up and run to create some really cool stuff.	A modern JavaScript charting library to build interactive charts and visualizations with simple API.
Statistics
GitHub Stars 2.7K	GitHub Stars 15.0K
GitHub Forks 546	GitHub Forks 1.4K
Stacks 8	Stacks 135
Followers 20	Followers 238
Votes 0	Votes 16
Pros & Cons
No community feedback yet	Pros 4 Provides zooming capabilities 4 Interactive charts 3 Graphs renders in SVG 3 Open source with MIT license 2 Multiple chart types such as pie, bar, line and others Cons 4 Slow rendering
Integrations
D3.js	Vue.js React Angular

What are some alternatives to dimple, ApexCharts?

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.

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.