Based on our record, Three.js should be more popular than Plotly. It has been mentiond 231 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.
Hi! With Python and ThreeJS (https://threejs.org/) I have made app to make easy 3d visualisation, which you can test in browser. Like this:. - Source: dev.to / about 17 hours ago
In React, there are different libraries for rendering 3D. In this article, we will focus on how to use the Three.js Library, React Three Fiber library, and the React Three Drei library for creating 3D objects. - Source: dev.to / 2 days ago
Here's how we used Three.js to place and find affirmations in the sky. - Source: dev.to / about 1 month ago
Three.js is dedicated to generating 3D visuals, offering a powerful suite of features and tools. It is built atop WebGL and optimizes GPU usage for rapid rendering, ensuring smooth performance across devices, including those with limited resources. Three.js's versatility allows for the creation of a vast spectrum of 3D graphics and animations, ranging from simple shapes to intricate models. - Source: dev.to / about 1 month ago
Most of frontend libraries are made with Vanilla JS. An example of library that you might frequently use is "Chart.js". But React is not compatible with Chart.js so here it comes "React-chartjs-2" A wrapper library to work with Chart.js in React ecosystem. Oh you want to use "three.js" for some cool 3D? You will need "React-three/fiber". In my case, I need to implement "telegram-web-app", not so fast, I have to... - Source: dev.to / about 2 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
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
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: 12 months ago
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
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
p5.js - JS library for creating graphic and interactive experiences
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.
PixiJS - Fast and flexible WebGL-based HTML5 game and app development library.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Pixi.js - Fast lightweight 2D library that works across all devices
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application