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Based on our record, Plotly should be more popular than Snap.svg. It has been mentiond 29 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.
It allows users to create tasks, change their schedule and duration with drag-and-drop, add dependency lines, and review extra information on tasks via tooltips. You can add multiple timescales to the chart. The list of possible options includes Quarter Day, Half Day, Full Day, Week, and Month. There are also some customization opportunities such as changing the tooltip content with custom HTML, modifying the... - Source: dev.to / over 1 year ago
Inspecting the buttons suggests that it's made with SVG animations too. It says "made with snap" http://snapsvg.io/. Source: over 1 year ago
Or you can use directly Snap.svg (Free). That's what Snap SVG Animator is creating on export, Snap.svg code. But it's little more work than just using animation tool and exporting. Source: over 1 year ago
Why’d you steal Snap.svg’s logo though? That’s an immediate and major red flag to me. http://snapsvg.io/. Source: over 1 year ago
Animated SVG http://snapsvg.io is best. Tiny file size, good performance. Resolution independent. Source: almost 2 years 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
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.
p5.js - JS library for creating graphic and interactive experiences
Chart.js - Easy, object oriented client side graphs for designers and developers.
Paper.js - Open source vector graphics scripting framework that runs on top of the HTML5 Canvas.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application