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Chart.js VS RunKit

Compare Chart.js VS RunKit and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

Chart.js logo Chart.js

Easy, object oriented client side graphs for designers and developers.

RunKit logo RunKit

RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.
  • Chart.js Landing page
    Landing page //
    2023-03-13
  • RunKit Landing page
    Landing page //
    2021-07-22

Chart.js features and specs

  • Open Source
    Chart.js is open source and free to use, which makes it accessible for both personal and commercial projects without any licensing costs.
  • Ease of Use
    Chart.js is known for its simple and easy-to-use API. Developers can quickly create charts by just including the library and writing minimal JavaScript.
  • Lightweight
    The library is relatively lightweight compared to other charting libraries, which helps in maintaining the performance of web applications.
  • Responsive Design
    Charts created with Chart.js are responsive by default, ensuring that they look good on all devices, including desktops, tablets, and mobile phones.
  • Variety of Chart Types
    Chart.js supports a variety of chart types including line, bar, radar, pie, doughnut, and polar area charts, providing flexibility for different data visualization needs.
  • Customization
    Developers can customize the appearance of charts extensively through Chart.js options such as colors, labels, and tooltips.
  • Active Community
    Chart.js has an active community and a strong support base, which means that developers can easily find help, tutorials, and plugins to enhance functionality.

Possible disadvantages of Chart.js

  • Limited Advanced Features
    While Chart.js is good for basic and intermediate charting needs, it may lack some advanced features and customizations offered by more complex charting libraries like D3.js.
  • Performance Issues with Large Datasets
    Chart.js can struggle with performance when dealing with very large datasets or complex visualizations, which can result in slower rendering times.
  • Learning Curve for Customization
    Although the basic usage is straightforward, achieving deeper customizations can involve a steeper learning curve as it requires understanding the underlying JavaScript and options.
  • Limited Interactivity
    Interactivity options with Chart.js are somewhat limited compared to other libraries that offer more advanced interactive features.
  • Dependency on Canvas
    Charts are rendered using the HTML5 canvas element, which may not be as flexible as SVG-based rendering used by some other libraries.

RunKit features and specs

  • Ease of Use
    RunKit provides an easy-to-use platform for prototyping and experimenting with Node.js code directly in the browser, without any setup.
  • Immediate Feedback
    The platform offers immediate execution and feedback for code snippets, making it ideal for learning and quick testing.
  • Installation-free
    There is no need to install Node.js or any other software locally as it runs completely in the browser.
  • Package Integration
    RunKit supports seamless integration with npm, allowing users to easily require and use any npm package in their code.
  • Collaboration
    Users can easily share their code with others, facilitating collaboration and peer learning.
  • Embedding
    Code snippets can be easily embedded into blogs or other web pages, enhancing content with interactive code examples.

Possible disadvantages of RunKit

  • Limited Environment
    Being a cloud-based platform, RunKit is limited in terms of custom environment configuration and local file system access.
  • Performance Constraints
    Execution performance might be constrained compared to running Node.js code locally, due to online execution limitations.
  • Dependency on Internet
    An active internet connection is necessary to use RunKit, which can be a drawback in offline scenarios.
  • Security Concerns
    Running code in a cloud environment could pose security risks, especially when dealing with sensitive data or code.
  • Feature Limitations
    Advanced Node.js features and debugging tools available in local development environments may not be supported.

Chart.js videos

+ Add

1.3: Graphing with Chart.js - Working With Data & APIs in JavaScript

More videos:

  • Tutorial - How to Build Ionic 4 Apps with Chart.js

RunKit videos

+ Add

Runkit - NodeJS Notebook in Bangla | Create And Publish API from Your Browser Fast And Secure

Category Popularity

0-100% (relative to Chart.js and RunKit)

Chart.js

RunKit

Charting Libraries
100 100%
Charting Libraries
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Visualization
91 91%
Data Visualization
9% 9
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Chart.js and RunKit

Chart.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Of the free libraries on this list, ECharts has the widest range of chart types available, second only to D3. Unlike D3, ECharts also ranks highly on the user-friendliness scale, although some users find ApexCharts and Chart.js even easier to use. You can check out some examples of basic charts on ECharts.
Source: embeddable.com
5 top picks for JavaScript chart libraries
Chart.js is a chart library that is available as a client-side JavaScript package. There are also derivatives for other frontend frameworks, like React, Vue, and Angular. It displays the chart on an HTML canvas element.
Source: blog.logrocket.com
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
Chart.js is a simple yet quite flexible JavaScript library for data viz, popular among web designers and developers. It’s a great basic solution for those who don’t need lots of chart types and customization features but want their charts to look neat, clear and informative at a glance.
Source: hackernoon.com
A Complete Overview of the Best Data Visualization Tools
Chart.js uses HTML5 Canvas for output, so it renders charts well across all modern browsers. Charts created are also responsive, so it’s great for creating visualizations that are mobile-friendly.
Source: www.toptal.com
The Best Data Visualization Tools - Top 30 BI Software
Chart.js is better for smaller chart projects. It’s open source and small in size, supporting six different types of charts: bar, line, pie, radar, doughnut, and polar. You can also add or remove any of these 6 types to reduce your footprint. Chart.js uses HTML5 Canvas and ships with polyfills for IE6/7 support. Chart.js offers the ability to create simple charts quickly.
Source: improvado.io

RunKit Reviews

We have no reviews of RunKit yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Chart.js seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Chart.js mentions (1)

  • Chart library for Svelte?
    Https://chartjs.org works well, but you have to call the update function yourself if you want to do some reactive updates. Source: almost 4 years ago

RunKit mentions (0)

We have not tracked any mentions of RunKit yet. Tracking of RunKit recommendations started around Mar 2021.

What are some alternatives?

When comparing Chart.js and RunKit, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Observable - Interactive code examples/posts

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

Calculist - The open-source, web-based thinking tool that facilitates effective thinking for solving problems.

Google Charts - Interactive charts for browsers and mobile devices.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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