
PlayCanvas
Unity
Unreal Engine
Blender
Godot Engine
CryENGINE
Stencyl
Cocos2d
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
PlayCanvasPlayCanvas is recommended for indie developers, small to medium-sized teams, and educational purposes. It is especially suited for those who are looking to create web-based 3D content quickly and efficiently without needing extensive proprietary tools. It's also beneficial for projects that require real-time collaborative development environments.
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.
As someone who recently started game development, finding the right engine has always been very difficult, It was till Chat-GPT (yes the Ai) recommended me playcanvas, it's Ui was challenging and its learning curve was steep, but at the end of the day it felt rewarding to understand and achieve something. So my final verdict, if you want to make 3D games, not go through the hassle of unity or work anywhere anytime, go for playcanvas.
Plotly might be a bit more popular than PlayCanvas. We know about 34 links to it since March 2021 and only 30 links to PlayCanvas. 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.
BabylonJS and the OP's own Aframe [1] seem to have similar licenses, similar number of Github stars and forks, although Aframe seems newer and more game / VR focused. How do Babylon, Aframe, Three.js, and PlayCanvas [2] compare from those that have used them? IIUC, PlayCanvas is the most mature, featureful, and performant, but it's commercial. Babylon is the featureful 3D engine, whereas Three.js is fairly raw.... - Source: Hacker News / about 1 year ago
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: about 3 years ago
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: over 3 years ago
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: over 3 years ago
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: over 3 years ago
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
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
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
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 / almost 2 years ago
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
Unity - The multiplatform game creation tools for everyone.
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.
Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Blender - Blender is the open source, cross platform suite of tools for 3D creation.
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.