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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Chart.xkcd vs Dashboards by Keen IO

Chart.xkcd vs Dashboards by Keen IO

OverviewComparisonAlternatives

Overview

Dashboards by Keen IO
Dashboards by Keen IO
Stacks16
Followers38
Votes0
GitHub Stars11.0K
Forks1.4K
Chart.xkcd
Chart.xkcd
Stacks4
Followers14
Votes0
GitHub Stars7.7K
Forks199

Chart.xkcd vs Dashboards by Keen IO: What are the differences?

Introduction

Chart.xkcd and Dashboards by Keen IO are two popular tools used for data visualization. Here are the key differences between the two:

  1. Style: Chart.xkcd is known for its hand-drawn, whimsical style that mimics sketchy drawings, making it ideal for informal or creative data presentations. On the other hand, Dashboards by Keen IO offers a more polished and professional look suitable for business or analytical purposes.

  2. Customization: While Chart.xkcd provides limited customization options due to its unique style, Dashboards by Keen IO offers extensive customization features such as color schemes, chart types, and data manipulation capabilities, allowing users to tailor visualizations to their specific needs.

  3. Interactivity: Dashboards by Keen IO provides interactive elements like filters, tooltips, and drill-down options that enhance user engagement and data exploration. In contrast, Chart.xkcd focuses more on the visual appeal and storytelling aspect, with less emphasis on interactive features.

  4. Data Sources: Dashboards by Keen IO allows users to connect to various data sources and APIs, enabling real-time data visualization and integration with external systems. Chart.xkcd, on the other hand, is more limited in terms of data connectivity options, typically relying on manual data input.

  5. Collaboration: Dashboards by Keen IO offers collaborative features like user permissions, sharing capabilities, and version control, making it suitable for team projects and sharing insights with stakeholders. Chart.xkcd, while user-friendly, lacks built-in collaboration tools and is more geared towards individual use or informal presentations.

  6. Scalability: Dashboards by Keen IO is designed for scalable data visualization projects, capable of handling large datasets and complex analyses. Chart.xkcd, while great for small-scale or creative projects, may not be as efficient or scalable for handling extensive data visualization needs.

In Summary, the key differences between Chart.xkcd and Dashboards by Keen IO lie in their styles, customization options, interactivity, data sources, collaboration features, and scalability.

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Detailed Comparison

Dashboards by Keen IO
Dashboards by Keen IO
Chart.xkcd
Chart.xkcd

Building an analytics dashboard? Don’t start from scratch. Grab one of our Bootstrap-based templates and admire your data in minutes.

It is a chart library plots “sketchy”, “cartoony” or “hand-drawn” styled charts. It’s easy to get started with it. All that’s required is the script included in your page along with a single <svg> node to render the chart.

-
Easy to Use;Line Chart;Bar Chart;Pie/Doughnut Chart
Statistics
GitHub Stars
11.0K
GitHub Stars
7.7K
GitHub Forks
1.4K
GitHub Forks
199
Stacks
16
Stacks
4
Followers
38
Followers
14
Votes
0
Votes
0
Integrations
No integrations available
JavaScript
JavaScript
HTML5
HTML5

What are some alternatives to Dashboards by Keen IO, Chart.xkcd?

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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