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Chart.js VS iPython

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

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Chart.js logo Chart.js

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

iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.
  • Chart.js Landing page
    Landing page //
    2023-03-13
  • iPython Landing page
    Landing page //
    2021-10-07

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.

iPython features and specs

  • Interactive Computing
    IPython provides a rich toolkit to help you make the most out of using Python interactively. This includes powerful introspection, rich media display, session logging, and more.
  • Ease of Use
    IPython includes features like syntax highlighting, tab completion, and easy access to the help system, which make writing and understanding code easier for users.
  • Rich Display System
    It supports rich media like images, videos, LaTeX, and HTML, making it very useful for data visualization and educational purposes.
  • Extensibility
    IPython is highly extensible and can be customized with a range of plugins, extensions, and different backends to suit various needs.
  • Enhanced Debugging
    It features enhanced debugging capabilities, including an improved traceback support and better handling of exceptions.

Possible disadvantages of iPython

  • Learning Curve
    For beginners, the extensive feature set of IPython may be overwhelming and have a steep learning curve.
  • Resource Intensive
    IPython, particularly Jupyter notebooks, can be resource-intensive, leading to slow performance on large datasets or complex computations.
  • Dependency Management
    Managing dependencies can be challenging, especially when using multiple packages in the same environment, which can lead to conflicts.
  • Limited IDE Features
    While IPython has many interactive features, it lacks some of the more advanced IDE features such as comprehensive code refactoring tools and integrated version control.
  • Exporting and Sharing
    Although you can export notebooks in various formats, sharing them in a way that preserves full interactivity can be complex compared to traditional scripts.

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

iPython videos

No iPython videos yet. You could help us improve this page by suggesting one.

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Category Popularity

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

Chart.js

iPython

Charting Libraries
100 100%
Charting Libraries
0% 0
Python IDE
0 0%
Python IDE
100% 100
Data Visualization
100 100%
Data Visualization
0% 0
Text Editors
0 0%
Text Editors
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 iPython

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

iPython Reviews

We have no reviews of iPython yet.
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Social recommendations and mentions

Based on our record, iPython seems to be a lot more popular than Chart.js. While we know about 19 links to iPython, we've tracked only 1 mention of Chart.js. 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

iPython mentions (19)

  • Modern Python REPL in Emacs using VTerm
    As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / 12 months ago
  • Wanting to learn how to code, but completely lost.
    Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: about 2 years ago
  • IJulia: The Julia Notebook
    IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / about 2 years ago
  • How to "end" a loop in the REPL?
    Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: about 2 years ago
  • State of Object Oriented Shells for *nix
    I know this isn't quite what you're asking for, but IPython (https://ipython.org/) is very capable as a Python + bash (or other) shell, as it allows you to easily integrate the system shell into the interactive environment. Although they now recommend Xonsh (https://xon.sh/) for such purposes. Source: about 2 years ago
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What are some alternatives?

When comparing Chart.js and iPython, 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.

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

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

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.

Google Charts - Interactive charts for browsers and mobile devices.

IDLE - Default IDE which come installed with the Python programming language.

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