Software Alternatives, Accelerators & Startups

p5.js VS Plotly

Compare p5.js VS Plotly and see what are their differences

p5.js logo p5.js

JS library for creating graphic and interactive experiences

Plotly logo Plotly

Low-Code Data Apps
  • p5.js Landing page
    Landing page //
    2023-07-22
  • Plotly Landing page
    Landing page //
    2023-07-31

p5.js features and specs

  • Ease of Use
    p5.js simplifies the process of learning and creating interactive graphics with its intuitive syntax, making it accessible for beginners.
  • Web-Based
    As a JavaScript library, p5.js runs directly in the web browser, enabling easy sharing and embedding of interactive sketches online without the need for additional plugins.
  • Creative Coding Community
    p5.js is supported by a vibrant community that shares a plethora of examples, tutorials, and resources, facilitating learning and troubleshooting.
  • Extensibility
    Its modular architecture allows for easy integration with other libraries like p5.sound, p5.dom, and even external JavaScript libraries, enhancing its functionality.
  • Accessibility
    p5.js emphasizes inclusivity, offering features that make it easier to create accessible web content, such as screen reader support.

Possible disadvantages of p5.js

  • Performance
    p5.js may not be as performant as other lower-level graphics libraries or frameworks, which can be a limitation for highly intensive graphical applications.
  • Learning Curve for Advanced Features
    While beginner-friendly, mastering complex features and fine-tuning performance in p5.js can require significant effort and understanding of JavaScript.
  • Not Ideal for Large Projects
    Due to its simplicity and focus on learning and prototyping, p5.js might not be suitable for large-scale, production-grade applications.
  • Limited 3D Support
    Although p5.js offers 3D rendering capabilities, these are less developed and performant compared to dedicated 3D libraries like Three.js.
  • Dependency on JavaScript
    Since p5.js is built on JavaScript, it inherits the language's limitations and quirks, which might be a hindrance for developers accustomed to other programming languages.

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.

Analysis of p5.js

Overall verdict

  • p5.js is a highly regarded tool for creative coding, offering a versatile platform for interactive graphics and art. Its simplicity and powerful functionality make it a popular choice in the creative coding community.

Why this product is good

  • p5.js is considered good due to its user-friendly interface and extensive documentation, which make it accessible for both beginners and experienced developers. It's designed to make coding easy and approachable for artists, designers, educators, and beginners, focusing on the creative potential of programming.

Recommended for

  • Artists
  • Designers
  • Educators
  • Students
  • Beginners in programming
  • Anyone interested in creative coding and visual arts

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

p5.js videos

Processing or p5.js? My opinions

More videos:

  • Review - Q&A #1: Side-Scroller in p5.js
  • Tutorial - 17.11: Sound Visualization: Frequency Analysis with FFT - p5.js Sound Tutorial

Plotly videos

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

Category Popularity

0-100% (relative to p5.js and Plotly)
Javascript UI Libraries
87 87%
13% 13
Data Visualization
0 0%
100% 100
Charting Libraries
55 55%
45% 45
3D
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare p5.js and Plotly

p5.js Reviews

20+ JavaScript libraries to draw your own diagrams (2022 edition)
A JS client-side library for creating graphics and interactive experiences, based on the core principles of Processing to make coding accessible to artists, designers and educators. Beyond drawing, this project provides offers web audio functionality, collision detection and even generation of graphical user interfaces from p5.js sketches.
8 Best Free and Open-Source Drawing Libraries in JavaScript
The p5.js library is a great option for people who are looking for a library that doesn't have a steep learning curve, but which can create very complicated systems if necessary. The get started with P5.js page on the official website has a functional example that draws circles wherever you move your mouse in only a few lines of code.

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.
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...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™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.

Social recommendations and mentions

Based on our record, p5.js should be more popular than Plotly. It has been mentiond 147 times 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.

p5.js mentions (147)

  • Generative Art over the Years
    P5.js is pretty great. I used it create art, basically taking animal photos and using the dna sequence from that animal to recreate the photo using the 4 letters. (I did four passes using different size letters and layered in Gimp). People seem to like them, and they got into an art:science show. https://p5js.org/ Coding train has a lot of videos on using p5.js. - Source: Hacker News / 5 months ago
  • Ask HN: Who Are Your Favorite Photography and Generative Coding Artists?
    p5.js is a JavaScript library that I've enjoyed messing with. It's related to Processing. https://p5js.org/. - Source: Hacker News / over 1 year ago
  • Art Blocks and the Future of Open Source with Blockchain
    Art Blocks, founded by Erick Calderon in 2020, is a platform that enables artists to create generative art using blockchain technology. It operates on the Ethereum blockchain, leveraging smart contracts to mint unique art pieces as NFTs. The process begins with artists submitting scripts that define the artwork's parameters. Once approved, these scripts generate unique pieces upon purchase, offering collectors a... - Source: dev.to / over 1 year ago
  • Rant: state of generative AI in code generation.
    In my experience with AI code generation, in visual projects like UI development or JavaScript based animation (using three.js or p5.js) etc. AI tools work pretty well. - Source: dev.to / over 1 year ago
  • Procedural Generation and Noise
    For this most recent assignment we were tasked with contributing a larger feature to an open source project. During my time with the previous assignment I worked on a game engine called Litecanvas, inspired engine by libraries like raylib and p5.js/Processing. - Source: dev.to / almost 2 years ago
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Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 / about 2 years ago
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What are some alternatives?

When comparing p5.js and Plotly, you can also consider the following products

Processing - C++ and Java programming at the speed of thought.

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.

Three.js - A JavaScript 3D library which makes WebGL simpler.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Pixi.js - Fast lightweight 2D library that works across all devices

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.