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  1. Stackups
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  4. Charting Libraries
  5. Chart.xkcd vs Plotly

Chart.xkcd vs Plotly

OverviewComparisonAlternatives

Overview

Plotly.js
Plotly.js
Stacks399
Followers694
Votes69
GitHub Stars17.9K
Forks1.9K
Chart.xkcd
Chart.xkcd
Stacks4
Followers14
Votes0
GitHub Stars7.7K
Forks199

Chart.xkcd vs Plotly: What are the differences?

<Write Introduction here>
  1. Data Visualization Style: One key difference between Chart.xkcd and Plotly is their data visualization style. Chart.xkcd provides a hand-drawn, whimsical style that mimics sketches, giving a more casual and artistic look to charts. On the other hand, Plotly offers a more professional and polished design with various customization options to create sleek and modern visualizations.

  2. Interactivity: Another notable difference is the level of interactivity in both libraries. Plotly provides a wide range of interactive features such as zooming, panning, tooltips, and dynamic updates, enhancing user engagement and exploration of the data. In contrast, Chart.xkcd primarily focuses on static visualizations without the same level of interactive capabilities.

  3. Ease of Use: Chart.xkcd is known for its simplicity and ease of use, making it an ideal choice for quick and informal data visualization needs. It offers a straightforward API and limited customization options, suitable for users looking for a more streamlined approach. Plotly, on the other hand, provides a more robust and complex platform with advanced features and extensive customization possibilities, catering to users with diverse and sophisticated visualization requirements.

  4. Community and Support: Plotly benefits from a larger and more active community, which results in extensive documentation, tutorials, and forums for users to seek help and share knowledge. This support network enhances the overall user experience and facilitates learning and troubleshooting. In comparison, Chart.xkcd has a smaller community base and may have limited resources available for assistance and guidance.

  5. Integration with Other Technologies: Plotly offers seamless integration with other technologies and frameworks such as JavaScript, Python, R, and Jupyter notebooks, allowing for versatile and cross-platform data visualization solutions. This interoperability enhances Plotly's adaptability and usability in different environments. In contrast, while Chart.xkcd can also be integrated with various programming languages, its compatibility with certain technologies may be more limited compared to Plotly.

  6. Customization Flexibility: Plotly provides extensive customization options, allowing users to fine-tune every aspect of the visualizations, including colors, fonts, layouts, and annotations. This high level of flexibility enables users to create tailored and professional-looking charts. On the other hand, Chart.xkcd, with its hand-drawn style, offers more limited customization capabilities, primarily focusing on the overall sketch-like appearance rather than intricate design modifications.

In Summary, Chart.xkcd stands out for its whimsical hand-drawn style and simplicity, while Plotly offers advanced interactivity, customization, and community support, making it a versatile choice for professional data visualization needs.

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Detailed Comparison

Plotly.js
Plotly.js
Chart.xkcd
Chart.xkcd

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.

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.

Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
Easy to Use;Line Chart;Bar Chart;Pie/Doughnut Chart
Statistics
GitHub Stars
17.9K
GitHub Stars
7.7K
GitHub Forks
1.9K
GitHub Forks
199
Stacks
399
Stacks
4
Followers
694
Followers
14
Votes
69
Votes
0
Pros & Cons
Pros
  • 16
    Bindings to popular languages like Python, Node, R, etc
  • 10
    Integrated zoom and filter-out tools in charts and maps
  • 9
    Great support for complex and multiple axes
  • 8
    Powerful out-of-the-box featureset
  • 6
    Beautiful visualizations
Cons
  • 18
    Terrible document
No community feedback yet
Integrations
Python
Python
React
React
MATLAB
MATLAB
Jupyter
Jupyter
Julia
Julia
JavaScript
JavaScript
HTML5
HTML5

What are some alternatives to Plotly.js, 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.

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.

ApexCharts

ApexCharts

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

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