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Plotly VS PixiJS

Compare Plotly VS PixiJS and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

PixiJS logo PixiJS

Fast and flexible WebGL-based HTML5 game and app development library.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • PixiJS Landing page
    Landing page //
    2023-07-25

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.

PixiJS features and specs

  • Performance
    PixiJS provides high performance through the use of WebGL, offering fast rendering capabilities that can handle complex scenes and animations efficiently.
  • Cross-Platform
    PixiJS is compatible with various platforms, including desktops, tablets, and mobile devices, ensuring a consistent experience across different environments.
  • Rich Features
    It comes with a variety of built-in features such as sprites, filters, masks, and support for different shapes and textures, which makes it powerful for creating interactive graphics.
  • Ease of Use
    The library offers a user-friendly API and extensive documentation, making it easy to learn and integrate into projects, even for developers who are new to WebGL.
  • Community Support
    PixiJS has an active community and a wealth of resources including forums, tutorials, and GitHub repositories, which help users troubleshoot issues and improve their projects.

Possible disadvantages of PixiJS

  • Size
    PixiJS can be relatively large in terms of file size, which may affect load times and performance, particularly for users with slow internet connections or limited bandwidth.
  • Browser Compatibility
    Since PixiJS relies heavily on WebGL, it may face compatibility issues with older browsers or devices that do not support advanced WebGL features.
  • Complexity
    While powerful, PixiJS can become complex when building more advanced applications, requiring a deep understanding of 3D graphics and WebGL concepts.
  • Limited 3D Support
    PixiJS is primarily a 2D rendering engine and lacks comprehensive support for 3D graphics, which might be a limitation for projects requiring 3D rendering.
  • Memory Management
    Handling memory efficiently can be challenging, especially in complex scenes with many textures and sprites, leading to potential memory leaks or performance degradation.

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

PixiJS videos

+ Add

PixiJS Part 3: Renderer, Ticker, & Stage

More videos:

  • Review - Learn PixiJS in 20 Minutes

Category Popularity

0-100% (relative to Plotly and PixiJS)

Plotly

PixiJS

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 PixiJS

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

PixiJS Reviews

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

Social recommendations and mentions

Based on our record, PixiJS should be more popular than Plotly. It has been mentiond 72 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.

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 1 month 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 / 3 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

PixiJS mentions (72)

  • Trying to Replace the DOM with Canvas — And Failing
    To improve performance, another team built a POC replacing standard DOM elements with a canvas managed by a library called pixi.js. The idea was to boost rendering speed. - Source: dev.to / about 2 months ago
  • Building an AI Powered Camera for David Bowie
    We can now decide how we want to display the data.image result back to our user. You can simply throw it up in an tag or generate a reveal video on the fly like I’ve done using Pixi.JS and MediaRecorder. Perhaps a topic for another dev blog. - Source: dev.to / 3 months ago
  • Tattooing The Black Keys Fans Using MediaDevices and PixiJS
    For this application, we gain access to the user’s camera using MediaDevices and then place it onto a PixiJS canvas as a video sprite. Then, we load the tattoo as an additional sprite and give it a bit of opacity and blending to bleed it into the user’s skin. Simple controls are added to allow the user to rotate, scale, and position the tattoo for the perfect inking. - Source: dev.to / 3 months ago
  • Chapter 1: Boring SVG Manipulation
    And canvas felt almost natural and invoked heavy nostalgia from the first time I touched keyboard and wrote primitive program to draw a house out of lines utilizing Basic. Later on I had a chance to broaden my expertise, when I was doing my hobby game project with Pixi and small bits and pieces on FindLabs pages. - Source: dev.to / 12 months ago
  • JSON Canvas – An open file format for infinite canvas data
    The canvas in Obsidian is as the whole app very well made. I wondered what they are using as well. My guess is https://www.xyflow.com/, which is for drawing nodes. More general purpose would be http://fabricjs.com/. Or very low level https://pixijs.com/. - Source: Hacker News / about 1 year ago
View more

What are some alternatives?

When comparing Plotly and PixiJS, 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.

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

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

Phaser - Desktop and Mobile HTML5 game framework. A fast, free and fun open source framework for Canvas and WebGL powered browser games.

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

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

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