Charted vs Recharts

Overview

Charted

Stacks4

Followers17

Votes0

Recharts

Stacks232

Followers258

Votes36

GitHub Stars26.2K

Forks1.8K

Charted vs Recharts: What are the differences?

Introduction

In this markdown, we will compare the key differences between Charted and Recharts, two popular charting libraries.

Data Visualization Options: Charted provides a limited number of visualization options compared to Recharts, which offers a wider variety of chart types such as line, bar, pie, area, scatter, and more. This diversity in charts allows users to choose the most suitable visualization for their data.
Configuration Ease: Recharts offers more customization and configuration options compared to Charted. Users can easily adjust colors, labels, scales, and other chart elements in Recharts using props, whereas Charted may have limitations in terms of customization.
Documentation and Support: Recharts has more comprehensive documentation and community support compared to Charted, making it easier for users to find solutions to any issues they may encounter. The availability of resources can significantly aid in the development process.
Animation Capabilities: Recharts comes with built-in animation capabilities, allowing for visually appealing transitions and updates in charts. Charted may not offer the same level of animation functionality, which can impact the overall user experience of the charts.
Interactivity Features: Recharts offers more interactive features like tooltips, zooming, and brushing, enhancing the user experience and enabling better data exploration. Charted may have limited interactivity options, which can restrict user engagement with the charts.
Performance Optimization: Recharts has performance optimization features like lazy loading and memoization, which can improve the rendering speed of charts, especially when dealing with large datasets. Charted may lack such optimizations, leading to potential performance issues in certain scenarios.

In Summary, Recharts provides a wider variety of chart types, better customization options, comprehensive documentation, animation capabilities, interactive features, and performance optimization compared to Charted.

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CLI (Node.js)

Manual

Advice on Charted, Recharts

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

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Comments

Detailed Comparison

Charted	Recharts
Charted is a tool for automatically visualizing data, created by the Product Science team at Medium. Provide the link to a data file and Charted returns a beautiful, interactive, and shareable chart of the data.	Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.
Rendering well on all screen sizes, including monitors;Re-fetching the data and updating the chart every 30 minutes;Moving data series into separate charts;Adjusting the chart type, labels/titles, and background	-
Statistics
GitHub Stars -	GitHub Stars 26.2K
GitHub Forks -	GitHub Forks 1.8K
Stacks 4	Stacks 232
Followers 17	Followers 258
Votes 0	Votes 36
Pros & Cons
No community feedback yet	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
Integrations
No integrations available	React D3.js

What are some alternatives to Charted, Recharts?

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.

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

Related Comparisons

Charted vs Recharts: What are the differences?

Introduction

In this markdown, we will compare the key differences between Charted and Recharts, two popular charting libraries.

Data Visualization Options: Charted provides a limited number of visualization options compared to Recharts, which offers a wider variety of chart types such as line, bar, pie, area, scatter, and more. This diversity in charts allows users to choose the most suitable visualization for their data.
Configuration Ease: Recharts offers more customization and configuration options compared to Charted. Users can easily adjust colors, labels, scales, and other chart elements in Recharts using props, whereas Charted may have limitations in terms of customization.
Documentation and Support: Recharts has more comprehensive documentation and community support compared to Charted, making it easier for users to find solutions to any issues they may encounter. The availability of resources can significantly aid in the development process.
Animation Capabilities: Recharts comes with built-in animation capabilities, allowing for visually appealing transitions and updates in charts. Charted may not offer the same level of animation functionality, which can impact the overall user experience of the charts.
Interactivity Features: Recharts offers more interactive features like tooltips, zooming, and brushing, enhancing the user experience and enabling better data exploration. Charted may have limited interactivity options, which can restrict user engagement with the charts.
Performance Optimization: Recharts has performance optimization features like lazy loading and memoization, which can improve the rendering speed of charts, especially when dealing with large datasets. Charted may lack such optimizations, leading to potential performance issues in certain scenarios.

Charted vs Recharts

Overview

Charted vs Recharts: What are the differences?