Overview

Dashboards by Keen IO

Stacks9

Followers38

Votes0

GitHub Stars11.0K

Forks1.4K

Recharts

Stacks143

Followers258

Votes36

GitHub Stars26.2K

Forks1.8K

Dashboards by Keen IO vs Recharts: What are the differences?

Write Introduction here

1. **Customization Options**: Dashboards by Keen IO offers extensive customization options allowing users to design their dashboards with unique styles, layouts, and color schemes. On the other hand, Recharts provides limited customization features with predefined styles and limited flexibility in design.
   
2. **Real-time Data Visualization**: Dashboards by Keen IO excels in real-time data visualization, offering seamless streaming and updates of data on the dashboard. In contrast, Recharts provides static data visualization capabilities and lacks real-time data updating functionality.
   
3. **Data Integration**: Keen IO Dashboards seamlessly integrate with Keen IO's analytics platform, enabling users to easily connect and visualize their data from Keen IO. Recharts, on the other hand, requires additional integrations and setup for data visualization with external sources.
   
4. **Advanced Charting Libraries**: Keen IO Dashboards come with a variety of advanced charting libraries and custom visualizations, offering users a wide range of options for displaying data. Recharts, while providing standard chart types, lacks the extensive library of custom visualizations available in Keen IO Dashboards.
   
5. **Community Support**: Recharts benefits from a larger user community and active contributors, providing a wealth of resources, tutorials, and community-generated plugins for users. Keen IO Dashboards, while supported by the Keen IO platform, may have a smaller community base for support and resources.
   
6. **Price Structure**: Keen IO Dashboards may offer a more flexible pricing structure, allowing users to choose a plan based on their specific needs and usage. In contrast, Recharts may have a fixed pricing model or limited options for customization based on usage requirements.

In Summary, Dashboards by Keen IO and Recharts differ substantially in their customization options, real-time data visualization capabilities, data integration features, charting libraries, community support, and pricing structure. Both platforms cater to different user needs based on these key differences.

Advice on Dashboards by Keen IO, 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

Dashboards by Keen IO	Recharts
Building an analytics dashboard? Don’t start from scratch. Grab one of our Bootstrap-based templates and admire your data in minutes.	Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.
Statistics
GitHub Stars 11.0K	GitHub Stars 26.2K
GitHub Forks 1.4K	GitHub Forks 1.8K
Stacks 9	Stacks 143
Followers 38	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 Dashboards by Keen IO, 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.