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  1. Stackups
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  4. Charting Libraries
  5. CHARTIST.JS vs Chartify

CHARTIST.JS vs Chartify

OverviewComparisonAlternatives

Overview

Chartist.js
Chartist.js
Stacks21
Followers48
Votes10
GitHub Stars93
Forks21
Chartify
Chartify
Stacks17
Followers25
Votes0
GitHub Stars3.6K
Forks335

Chartify vs CHARTIST.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, CHARTIST.JS is detailed as "*Open source Charting JavaScript library *". It is an open source Charting JavaScript library which provide a solution to the problems faced by charting libraries. It’s lightweight, simple and flexible to integrate . You can Create responsive, scalable and good looking charts with it.

Chartify and CHARTIST.JS can be categorized as "Charting Libraries" tools.

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Detailed Comparison

Chartist.js
Chartist.js
Chartify
Chartify

It is an open source Charting JavaScript library which provide a solution to the problems faced by charting libraries. It’s lightweight, simple and flexible to integrate . You can Create responsive, scalable and good looking charts with it.

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.

Simple handling while using convention over configuration;Fully responsive and DPI independent;Fully built and customizable with Sass;Responsive configuration with media queries
-
Statistics
GitHub Stars
93
GitHub Stars
3.6K
GitHub Forks
21
GitHub Forks
335
Stacks
21
Stacks
17
Followers
48
Followers
25
Votes
10
Votes
0
Pros & Cons
Pros
  • 5
    Small size
  • 4
    SVG
  • 1
    Animations
Cons
  • 2
    Weak documentation
No community feedback yet
Integrations
WordPress
WordPress
Sass
Sass
JavaScript
JavaScript
CSS 3
CSS 3
React
React
JSF
JSF
Firefox
Firefox
HTML5
HTML5
Google Chrome
Google Chrome
Python
Python

What are some alternatives to Chartist.js, Chartify ?

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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