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Website | visjs.org |
Pricing URL | - |
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Website | plotly.com |
Pricing URL | Official Plotly Pricing |
Based on our record, Plotly should be more popular than Vis.js. 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.
❔vis.js - Seems fits my need but prefer something else. Source: 9 months ago
One of the key created HTML elements is the element. Renderer class creates CanvasRenderingContext2D which is used for drawing shapes, text, images, and other objects. As we used vis.js before creating Orb, credit for some of the drawing logic in Orb (shapes, arrows, curved lines) goes to the developers who created it. They did a great job, and we didn’t want to reinvent the wheel. Canvas API with... - Source: dev.to / about 1 year ago
The graph was created with this JavaScript library: https://visjs.org/. Source: about 1 year ago
Data source: https://rapidapi.com/mrdimosthenis/api/papercliff/ Visualization library: https://visjs.org/. Source: over 1 year ago
In order to display the GitHub data in a graph, I used VisJS, a library specially designed to handle large amounts of dynamic data. The graph is rendered in the browser in an HTML canvas, making it possible to show complex animations efficiently. The VisJS network component was exactly what I needed to display a complex diagram of “nodes” and their connecting lines, called “edges”. Nodes and edges are represented... - Source: dev.to / over 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 4 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: 11 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
UMLGraph - UMLGraph is a professional automated drawing tool that allows the designers the declarative specification and drawing of UML class and sequence diagram.
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.
Dia - Dia is a GTK+ based diagram creation program for GNU/Linux, MacOS X, Unix, and Windows, and is released under the GPL license.
Chart.js - Easy, object oriented client side graphs for designers and developers.
yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application