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  1. Stackups
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  4. Charting Libraries
  5. Britecharts vs Labella.js

Britecharts vs Labella.js

OverviewComparisonAlternatives

Overview

Labella.js
Labella.js
Stacks3
Followers23
Votes0
GitHub Stars3.9K
Forks140
Britecharts
Britecharts
Stacks13
Followers44
Votes0
GitHub Stars0
Forks2

Britecharts vs Labella.js: What are the differences?

What is Britecharts? Eventbrite’s reusable charting library based on D3. Britecharts is a client-side reusable Charting Library based on D3.js v4 that allows easy and intuitive use of charts and components that can be composed together creating amazing visualizations.

What is Labella.js? Place labels on a timeline without overlap (by Twitter). Labella allows you to create labels that don't overlap on a timeline. Instead the labels push each other over creating a more beautiful layout.

Britecharts and Labella.js can be primarily classified as "Charting Libraries" tools.

Britecharts and Labella.js are both open source tools. Labella.js with 3.64K GitHub stars and 128 forks on GitHub appears to be more popular than Britecharts with 3.52K GitHub stars and 200 GitHub forks.

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Detailed Comparison

Labella.js
Labella.js
Britecharts
Britecharts

Labella allows you to create labels that don't overlap on a timeline. Instead the labels push each other over creating a more beautiful layout.

Britecharts is a client-side reusable Charting Library based on D3.js v4 that allows easy and intuitive use of charts and components that can be composed together creating amazing visualizations.

Create beautiful well structured labels
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Statistics
GitHub Stars
3.9K
GitHub Stars
0
GitHub Forks
140
GitHub Forks
2
Stacks
3
Stacks
13
Followers
23
Followers
44
Votes
0
Votes
0
Integrations
D3.js
D3.js
D3.js
D3.js

What are some alternatives to Labella.js, Britecharts?

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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