Plotly vs Rough Charts

Overview

Plotly.js

Stacks399

Followers694

Votes69

GitHub Stars17.9K

Forks1.9K

Rough Charts

Stacks1

Followers5

Votes0

GitHub Stars1.5K

Forks57

Plotly vs Rough Charts: What are the differences?

Developers describe Plotly as "The Web's fastest growing charting libraries". Plotly.js is the only open-source JavaScript library for data visualization in the sciences and engineering. Open-source interfaces to Plotly.js are available for Python, R, MATLAB, and React. On the other hand, Rough Charts is detailed as "React charting library with a hand-drawn style". It is a responsive, composable react charting library with a hand-drawn style. It's flexible and easy to compose. You can compose all available ChartSeries Components and render any shapes you like.

Plotly and Rough Charts can be categorized as "Charting Libraries" tools.

Plotly is an open source tool with 10.9K GitHub stars and 1.28K GitHub forks. Here's a link to Plotly's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

Plotly.js	Rough Charts
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.	It is a responsive, composable react charting library with a hand-drawn style. It's flexible and easy to compose. You can compose all available ChartSeries Components and render any shapes you like.
Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export	It's responsive; It's flexible and easy to compose
Statistics
GitHub Stars 17.9K	GitHub Stars 1.5K
GitHub Forks 1.9K	GitHub Forks 57
Stacks 399	Stacks 1
Followers 694	Followers 5
Votes 69	Votes 0
Pros & Cons
Pros 16 Bindings to popular languages like Python, Node, R, etc 10 Integrated zoom and filter-out tools in charts and maps 9 Great support for complex and multiple axes 8 Powerful out-of-the-box featureset 6 Beautiful visualizations Cons 18 Terrible document	No community feedback yet
Integrations
Python React MATLAB Jupyter Julia	React

What are some alternatives to Plotly.js, Rough Charts?

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.

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.