Barchartrace vs Victory

Overview

Victory

Stacks44

Followers83

Votes0

GitHub Stars11.2K

Forks537

Barchartrace

Stacks1

Followers4

Votes0

GitHub Stars467

Forks82

Victory vs Barchartrace: What are the differences?

Developers describe Victory as "ReactJS library for building interactive data visualizations". A collection of composable React components for building interactive data visualizations. On the other hand, Barchartrace is detailed as "*A simple MIT opensource bar chart race generator *". It is a simple MIT opensource bar chart race generator. It is an animated sequence of bars that show data values at different moments in time.

Victory and Barchartrace can be categorized as "Charting Libraries" tools.

Victory is an open source tool with 8.21K GitHub stars and 379 GitHub forks. Here's a link to Victory's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

Victory	Barchartrace
A collection of composable React components for building interactive data visualizations.	It is a simple MIT opensource bar chart race generator. It is an animated sequence of bars that show data values at different moments in time.
Robust; Flexible; Native	Open Source; Bar chart race generator
Statistics
GitHub Stars 11.2K	GitHub Stars 467
GitHub Forks 537	GitHub Forks 82
Stacks 44	Stacks 1
Followers 83	Followers 4
Votes 0	Votes 0
Integrations
React	No integrations available

What are some alternatives to Victory, Barchartrace?

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.