Software Alternatives, Accelerators & Startups

Plotly VS PlayCanvas

Compare Plotly VS PlayCanvas and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

PlayCanvas logo PlayCanvas

PlayCanvas is an open-source game engine built on WebGL and WebVR.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • PlayCanvas Landing page
    Landing page //
    2021-09-22

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

PlayCanvas videos

PlayCanvas Turns 1.0! Open Source 3D HTML5 Game Engine Is All Grown Up

More videos:

  • Tutorial - PlayCanvas Revisited -- Bowling With PlayCanvas Tutorial
  • Review - WebGL R&D: Unity vs Unreal vs PlayCanvas Comparison.

Category Popularity

0-100% (relative to Plotly and PlayCanvas)
Data Visualization
100 100%
0% 0
Game Development
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Game Engine
0 0%
100% 100

User comments

Share your experience with using Plotly and PlayCanvas. For example, how are they different and which one is better?
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Reviews

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

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 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.

PlayCanvas Reviews

Best Game Engines for Linux in 2021
PlayCanvas is an advanced WebGL game engine. With PlayCanvas, you can create interactive VR and 3D games. This game engine runs directly from the browser.
Source: kerneltips.com

Social recommendations and mentions

PlayCanvas might be a bit more popular than Plotly. We know about 29 links to it since March 2021 and only 29 links to Plotly. 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 (29)

  • 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: 5 months ago
  • Junior Developer asked to make Saaas in first month.
    If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
  • Wait, but I thought they were the same thing?
    I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
  • Storing your data in a Plotly Dash data dashboard
    Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
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PlayCanvas mentions (29)

  • Normal Map Interpolation on Deferred Shading
    For some reason that I cannot understand in my case the calculated shading normals are pixelated. Compared to playcanvas.com (probably a forward renderer), mine is like utter shit. Source: 11 months ago
  • Migrating from WordPress After 12 Years
    PlayCanvas has been using WordPress for 12 years now. Generally speaking, it's been fine. However, after much consideration, we have migrated away to Jekyll + GitHub Pages. I thought our experience might be of interest to other WordPress users (if only to confirm why you wouldn't consider switching): Https://blog.playcanvas.com/moving-from-wordpress-to-jekyll-a-case-study/ Interested to hear peoples' thoughts... Source: 11 months ago
  • I made a 3D editor that models in pure CSS+HTML
    It's just a cool tech demo that pushes CSS to its limits, but it's completely useless if you want to create usable 3d models. If you want to model in the browser, you can check out vectary, playcanvas, or spline. Source: 12 months ago
  • I made a 3D editor that models in pure CSS+HTML
    The model in the video has no spheres, which is why the performance is decent. In any case, I agree with you for the most part, I'm just lazy and didn't expect anyone to actually want to use this for serious modelling. You should check out playcanvas or vectary if you are serious about in-browser 3D modelling. Source: 12 months ago
  • Help With Web AR App Project Completion?
    Hey, I do not have any experience with deepar.ai so I’m not super familiar with the process using that platform. In my opinion I’d probably recommend another platform to try and accomplish this. Since you mentioned that you have everything set up in a engine already (lens studio) I’d recommend you just use a webxr engine. In my experience the two best engines are https://playcanvas.com and... Source: 12 months ago
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What are some alternatives?

When comparing Plotly and PlayCanvas, 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.

Unity - The multiplatform game creation tools for everyone.

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

Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.

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

Blender - Blender is the open source, cross platform suite of tools for 3D creation.