Chart.js vs Chartify

Overview

Chart.js

Stacks2.0K

Followers786

Votes44

GitHub Stars66.7K

Forks12.0K

Chartify

Stacks17

Followers25

Votes0

GitHub Stars3.6K

Forks335

Chartify vs Chart.js: What are the differences?

Developers describe **Chartify ** as "Easier chart creation in Python for data scientists, by Spotify". Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Smart default styles: Create pretty charts with very little customization required. Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API. On the other hand, Chart.js is detailed as "Simple, clean and engaging charts for designers and developers". Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Chartify and Chart.js can be categorized as "Charting Libraries" tools.

Chart.js is an open source tool with 44.3K GitHub stars and 9.71K GitHub forks. Here's a link to Chart.js's open source repository on GitHub.

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Advice on Chart.js, Chartify

Shaik

Feb 18, 2020

Needs advice

I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use

246k views246k

Comments

Sudhan

Dec 23, 2019

Needs advice

I'm developing angular 8 application, I need to create a dynamic, custom charts based on the data, Charts options will be configured with a user input form. at any time users can edit and modify the chart options. even I dont know how many charts I have to create everything is dynamic. ( based on the user configuration chart counts will vary ). I need some suggestions on which chart will give these kinds of flexible options.

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Comments

Detailed Comparison

Chart.js	Chartify
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.	Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Smart default styles: Create pretty charts with very little customization required. Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.
animated;HTML5 based;Responsive;Modular;Bar;Doughnut;Radar;Line;Polar Area;Interactive	-
Statistics
GitHub Stars 66.7K	GitHub Stars 3.6K
GitHub Forks 12.0K	GitHub Forks 335
Stacks 2.0K	Stacks 17
Followers 786	Followers 25
Votes 44	Votes 0
Pros & Cons
Pros 19 Offers all types of charts 14 Interactive Charts 10 It's totally free Cons 12 Slow rendering 2 Bitmap quality export 1 Low quality zoom plugin 0 It's totally free	No community feedback yet
Integrations
React AngularJS	Python

What are some alternatives to Chart.js, Chartify ?

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.

Underscore

A JavaScript library that provides a whole mess of useful functional programming helpers without extending any built-in objects.

Deno

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.

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.

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.