Anime.js might be a bit more popular than Plotly. We know about 38 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.
This direct manipulation allows you to leverage robust animation libraries like GSAP or Anime.js, which require direct DOM access to perform optimally. - Source: dev.to / 3 days ago
Anime.js is celebrated for its simplicity, speed, and versatility. This compact library simplifies the animation process, enabling developers to craft visually striking animations with minimal effort. Anime.js supports a wide array of effects like scaling, morphing, and rotating, offering developers the tools to create complex timelines and animations with ease. - Source: dev.to / about 1 month ago
Https://animejs.com/ As seen in their source code here:. - Source: Hacker News / 9 months ago
To your original question though, there are lots of ways to achieve these types of animations and the best solution is dependent on your requirements and experience. I suggest looking into css animations and anime.js. If you're looking to do more complex animations, a tool like lottie might be a better fit. Source: 11 months ago
Metz is a visualizer that I am building with the aim to create playgrounds on the fly using nothing but code. I am using reactflow as the backbone, animejs for interactivity, and Mantine as the framework. Source: 12 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: 11 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
Pixi.js - Fast lightweight 2D library that works across all devices
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.
GSAP - GSAP (GreenSock Animation Platform) is a suite of JavaScript tools for high-performance animations that work in all major browsers.
Chart.js - Easy, object oriented client side graphs for designers and developers.
p5.js - JS library for creating graphic and interactive experiences
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application