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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Frappé Charts vs dimple

Frappé Charts vs dimple

OverviewComparisonAlternatives

Overview

dimple
dimple
Stacks8
Followers20
Votes0
GitHub Stars2.7K
Forks546
Frappé Charts
Frappé Charts
Stacks7
Followers16
Votes2
GitHub Stars15.1K
Forks751

dimple vs Frappé Charts: What are the differences?

dimple: 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; Frappé Charts: GitHub-inspired simple and modern charts for the web with zero dependencies. 📊🍩📈 Simple, responsive, modern SVG Charts with zero dependencies.

dimple and Frappé Charts can be categorized as "Charting Libraries" tools.

dimple and Frappé Charts are both open source tools. Frappé Charts with 12.6K GitHub stars and 524 forks on GitHub appears to be more popular than dimple with 2.72K GitHub stars and 575 GitHub forks.

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Detailed Comparison

dimple
dimple
Frappé Charts
Frappé Charts

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.

📊🍩📈 Simple, responsive, modern SVG Charts with zero dependencies

Statistics
GitHub Stars
2.7K
GitHub Stars
15.1K
GitHub Forks
546
GitHub Forks
751
Stacks
8
Stacks
7
Followers
20
Followers
16
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 1
    Small bundlesize
  • 1
    SVG based
Integrations
D3.js
D3.js
No integrations available

What are some alternatives to dimple, Frappé Charts?

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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