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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. dimple vs go-chart

dimple vs go-chart

OverviewComparisonAlternatives

Overview

dimple
dimple
Stacks8
Followers20
Votes0
GitHub Stars2.7K
Forks546
go-chart
go-chart
Stacks1
Followers14
Votes1
GitHub Stars4.0K
Forks336

dimple vs go-chart: What are the differences?

Developers describe dimple 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. On the other hand, go-chart is detailed as "Basic (1 or 2 axis) time-series graphs in Golang". go chart is a basic charting library in native golang.

dimple and go-chart belong to "Charting Libraries" category of the tech stack.

dimple and go-chart are both open source tools. dimple with 2.72K GitHub stars and 575 forks on GitHub appears to be more popular than go-chart with 2.28K GitHub stars and 145 GitHub forks.

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Detailed Comparison

dimple
dimple
go-chart
go-chart

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.

go chart is a basic charting library in native golang.

Statistics
GitHub Stars
2.7K
GitHub Stars
4.0K
GitHub Forks
546
GitHub Forks
336
Stacks
8
Stacks
1
Followers
20
Followers
14
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Free to use
Integrations
D3.js
D3.js
Golang
Golang

What are some alternatives to dimple, go-chart?

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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