D3.js vs Dashboards by Keen IO

Overview

D3.js

Stacks2.0K

Followers1.7K

Votes653

GitHub Stars111.7K

Forks22.9K

Dashboards by Keen IO

Stacks16

Followers38

Votes0

GitHub Stars11.0K

Forks1.4K

D3.js vs Dashboards by Keen IO: What are the differences?

Data Visualization: D3.js is a powerful library for creating dynamic, interactive data visualizations directly in the browser using SVG, HTML, and CSS. It provides a high level of customization and control over every aspect of the visualization, allowing developers to create unique and complex visualizations. On the other hand, Dashboards by Keen IO is a platform that focuses on creating dashboards and monitoring data in real-time, providing pre-built visualizations and widgets that can be easily configured and customized through a user-friendly interface.
Learning Curve: D3.js has a steep learning curve due to its low-level approach and the need for a deep understanding of JavaScript, SVG, and data manipulation. It requires more time and effort to master compared to Dashboards by Keen IO, which offers a more straightforward and intuitive way to create dashboards and visualizations without the need for in-depth coding knowledge.
Community Support: D3.js has a large and active community of developers contributing to its growth and providing resources, tutorials, and examples to help others learn and troubleshoot issues. Dashboards by Keen IO also has a supportive community, but it may not be as extensive or diverse as the one for D3.js, limiting the amount of available resources and community-driven solutions.
Real-time Data: Dashboards by Keen IO is designed to work with real-time data streams, making it ideal for monitoring and displaying changing data in dynamic dashboards. D3.js, on the other hand, can handle real-time data as well but may require more customization and development effort to implement real-time updating of visualizations compared to the out-of-the-box capabilities of Dashboards by Keen IO.
Integration: D3.js can be integrated into various web frameworks and libraries, providing flexibility and control over how visualizations are embedded and displayed within web applications. In contrast, Dashboards by Keen IO is a standalone platform that may have limitations in terms of integration with external systems or frameworks, restricting its usage to the capabilities and features offered within the platform itself.
Scalability: D3.js is highly scalable and can handle large datasets and complex visualizations efficiently, making it suitable for projects that require advanced data visualization capabilities. Dashboards by Keen IO may have limitations in scalability, especially when dealing with a high volume of real-time data or complex visualization requirements, as it is optimized for creating interactive dashboards with pre-built components rather than handling complex custom visualizations.

In Summary, D3.js and Dashboards by Keen IO differ in terms of their focus on customization, learning curve, community support, real-time data handling, integration capabilities, and scalability.

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Advice on D3.js, Dashboards by Keen IO

Ayaskant

SSE-II at Akamai

Oct 25, 2019

Needs advice

I want to get suggestions on these 2 open source js libraries (D3.js & echarts) that help in creating charts or graphs on the UI. Which one will be better for bar graphs. Which is easy to learn and start with? Which provides better features and community support?

My requirements are 1 - Plot data in X-Y axis graph where x-axis will present time till seconds level and Y-Axis will present the data corresponding to that time.

2 - Zoom-in and zoom out feature.

56k views56k

Comments

Detailed Comparison

D3.js	Dashboards by Keen IO
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.	Building an analytics dashboard? Don’t start from scratch. Grab one of our Bootstrap-based templates and admire your data in minutes.
Declarative Approach for Individual Nodes Manipulation; Functions Factory; Web Standards; Built-in ELement Inspector to Debug; Uses SVG, Canvas, and HTML; Data-driven approach to DOM Manipulation; Voronoi Diagrams; Maps and topo.	-
Statistics
GitHub Stars 111.7K	GitHub Stars 11.0K
GitHub Forks 22.9K	GitHub Forks 1.4K
Stacks 2.0K	Stacks 16
Followers 1.7K	Followers 38
Votes 653	Votes 0
Pros & Cons
Pros 195 Beautiful visualizations 103 Svg 92 Data-driven 81 Large set of examples 61 Data-driven documents Cons 11 Beginners cant understand at all 6 Complex syntax	No community feedback yet
Integrations
JavaScript React Native AngularJS React Bootstrap	No integrations available

What are some alternatives to D3.js, Dashboards by Keen IO?

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.

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.

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

D3.js vs Dashboards by Keen IO: What are the differences?

Data Visualization: D3.js is a powerful library for creating dynamic, interactive data visualizations directly in the browser using SVG, HTML, and CSS. It provides a high level of customization and control over every aspect of the visualization, allowing developers to create unique and complex visualizations. On the other hand, Dashboards by Keen IO is a platform that focuses on creating dashboards and monitoring data in real-time, providing pre-built visualizations and widgets that can be easily configured and customized through a user-friendly interface.
Learning Curve: D3.js has a steep learning curve due to its low-level approach and the need for a deep understanding of JavaScript, SVG, and data manipulation. It requires more time and effort to master compared to Dashboards by Keen IO, which offers a more straightforward and intuitive way to create dashboards and visualizations without the need for in-depth coding knowledge.
Community Support: D3.js has a large and active community of developers contributing to its growth and providing resources, tutorials, and examples to help others learn and troubleshoot issues. Dashboards by Keen IO also has a supportive community, but it may not be as extensive or diverse as the one for D3.js, limiting the amount of available resources and community-driven solutions.
Real-time Data: Dashboards by Keen IO is designed to work with real-time data streams, making it ideal for monitoring and displaying changing data in dynamic dashboards. D3.js, on the other hand, can handle real-time data as well but may require more customization and development effort to implement real-time updating of visualizations compared to the out-of-the-box capabilities of Dashboards by Keen IO.
Integration: D3.js can be integrated into various web frameworks and libraries, providing flexibility and control over how visualizations are embedded and displayed within web applications. In contrast, Dashboards by Keen IO is a standalone platform that may have limitations in terms of integration with external systems or frameworks, restricting its usage to the capabilities and features offered within the platform itself.
Scalability: D3.js is highly scalable and can handle large datasets and complex visualizations efficiently, making it suitable for projects that require advanced data visualization capabilities. Dashboards by Keen IO may have limitations in scalability, especially when dealing with a high volume of real-time data or complex visualization requirements, as it is optimized for creating interactive dashboards with pre-built components rather than handling complex custom visualizations.

In Summary, D3.js and Dashboards by Keen IO differ in terms of their focus on customization, learning curve, community support, real-time data handling, integration capabilities, and scalability.

D3.js vs Dashboards by Keen IO

Overview