Plotly VS KeyLines
Compare Plotly VS KeyLines and see what are their differences
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Plotly
D3.js
Chart.js
Highcharts
RAWGraphs
Google Charts
Tableau
Microsoft Power BI
KeyLines
Gephi
UMLGraph
yEd
draw.io
Dia
LucidChart
OmniGraffle
KeyLines is a powerful graph visualization SDK for JavaScript developers.
From law enforcement to fraud detection and cybersecurity, every day thousands of analysts rely on KeyLines-powered applications to turn their complex graph data into insight.
As an SDK, KeyLines lets you build applications specifically for your users, your data and the questions you need to answer.
It fits with any browser, device, server or database and comes with clear tutorials, demos and API documentation. Combined with our developer support, you’ll be uncovering network insight in no time.
Plotly KeyLinesBased on our record, Plotly seems to be a lot more popular than KeyLines. While we know about 33 links to Plotly, we've tracked only 1 mention of KeyLines. 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.
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 / about 2 months 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 / 4 months 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 / 5 months 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 / 11 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
I am looking for a powerful open-source graph visualization library to use in an upcoming project. This article provides a lot of options, however, most of the open source libraries that I found were no longer being maintained and / or lacked the full set of features offered in a commercial product such as Keylines, ReGraph, or Ogma. Source: almost 4 years ago
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.
Gephi - Gephi is an open-source software for visualizing and analyzing large networks graphs.
Chart.js - Easy, object oriented client side graphs for designers and developers.
UMLGraph - UMLGraph is a professional automated drawing tool that allows the designers the declarative specification and drawing of UML class and sequence diagram.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
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.