Chartify vs Recharts

Overview

Recharts

Stacks232

Followers258

Votes36

GitHub Stars26.2K

Forks1.8K

Chartify

Stacks17

Followers25

Votes0

GitHub Stars3.6K

Forks335

Chartify vs Recharts: What are the differences?

Chartify : 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; Recharts: Redefined chart library built with React and D3. Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

Chartify and Recharts can be categorized as "Charting Libraries" tools.

Recharts is an open source tool with 11.9K GitHub stars and 921 GitHub forks. Here's a link to Recharts's open source repository on GitHub.

🔥 Trending in UI Components on StackShare

React UI Components

A JavaScript library for building user interfaces

Try it View Docs Alternatives

Try

399

147k

Advice on Recharts, 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

Detailed Comparison

Recharts	Chartify
Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.	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.
Statistics
GitHub Stars 26.2K	GitHub Stars 3.6K
GitHub Forks 1.8K	GitHub Forks 335
Stacks 232	Stacks 17
Followers 258	Followers 25
Votes 36	Votes 0
Pros & Cons
Pros 11 Very intuitive API 8 Built for React, from scratch 7 Responsive 5 Composable chart elements 3 Easy to use Cons 2 Not considered time series charts	No community feedback yet
Integrations
React D3.js	Python

What are some alternatives to Recharts, 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.

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.

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.