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Plotly VS Processing.js

Compare Plotly VS Processing.js and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Processing.js logo Processing.js

Processing.js is an open programming language, port of the ...
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Processing.js Landing page
    Landing page //
    2023-09-16

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Processing.js features and specs

  • Easy Transition from Processing
    Processing.js allows developers familiar with the Processing programming language to easily transition their applications to the web environment without needing to rewrite significant portions of code.
  • Web-based Graphics
    Developers can leverage Processing.js to create visually appealing graphics that run directly in a web browser, eschewing the need for additional software like Java applets.
  • Interactive Visualizations
    The library supports dynamic and interactive visualizations, making it ideal for projects that require animated graphics and user interaction.
  • Open Source
    Being an open-source project, Processing.js fosters a community-driven development model where developers can contribute to and expand the library’s capabilities.
  • Quick Setup
    Processing.js requires only a simple script inclusion to start developing, making it relatively easy and quick to set up for those wanting to prototype graphics quickly.

Possible disadvantages of Processing.js

  • Performance Overhead
    Running animations and graphics through a JavaScript library in the browser can have performance limitations, especially when dealing with complex or resource-intensive tasks.
  • Browser Compatibility Issues
    Processing.js can have compatibility issues with different web browsers, which can lead to inconsistent visualizations across platforms.
  • Limited Community and Support
    The library has a relatively smaller user base compared to more recent JavaScript graphics libraries, meaning less community support and fewer updates.
  • Deprecated
    The project is effectively deprecated, as it hasn't received updates in recent years, and modern alternatives like p5.js offer more features and active development.
  • Not Full JavaScript Utility
    Since it's primarily designed to replicate the Processing language, it may not always take full advantage of typical JavaScript idioms or integrate seamlessly with other JavaScript frameworks.

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Processing.js videos

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

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Category Popularity

0-100% (relative to Plotly and Processing.js)

Plotly

Processing.js

Data Visualization
100 100%
Data Visualization
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Flowcharts
0 0%
Flowcharts
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 Plotly and Processing.js

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Processing.js Reviews

The Best Data Visualization Tools - Top 30 BI Software
Processing.js is a JavaScript library that uses the Processing visual programming language. It is web-oriented and lets you bring the power of Processing to create data visualizations for your web pages. Processing.js requires an HTML5-compatible browser to work.
Source: improvado.io

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Processing.js. While we know about 33 links to Plotly, we've tracked only 1 mention of Processing.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.

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 2 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

Processing.js mentions (1)

  • What are the main differences between processing.js and processing.py?
    With processing.js I think you mean p5.js, since the development of processing.js has been archived in 2018 (https://github.com/processing-js/processing-js ). Source: over 2 years ago

What are some alternatives?

When comparing Plotly and Processing.js, 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.

p5.js - JS library for creating graphic and interactive experiences

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

Paper.js - Open source vector graphics scripting framework that runs on top of the HTML5 Canvas.

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

GoJS - GoJS is a JavaScript library for building interactive diagrams on HTML web pages. Build apps with flowcharts, org charts, BPMN, UML, modeling, and other visual graph types.

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