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.
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Based on our record, NetworkX seems to be a lot more popular than KeyLines. While we know about 34 links to NetworkX, 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.
In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery. - Source: dev.to / 4 months ago
If you program in Python, can use NetworkX for that. But it's probably a good idea to implement the basic algorithms yourself at least one time. Source: 5 months ago
For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2]. Integrations include: * NetworkX -- https://networkx.org/ * DeepGraphLibrary -- https://www.dgl.ai/ * cuGraph (Rapids.ai Graph) --... - Source: Hacker News / 7 months ago
Org-roam-ui is a great interactive visualization tool, but its main use is visualization. The hope of this library is that it could be part of a larger graph analysis pipeline. The demo provides an example graph visualization, but what you choose to do with the resulting graph certainly isn't limited to that. See for example networkx. Source: 12 months ago
Back in college, I had an assignment deadline coming up and I wanted to work on it in the train since I had an 8-hour journey ahead of me. It was about some analysis of graph data, which used a Python package called NetworkX. The train's WiFi didn't allow me to access their documentation because it apparently thought it was porn. Source: 12 months 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 3 years ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Gephi - Gephi is an open-source software for visualizing and analyzing large networks graphs.
RedisGraph - A high-performance graph database implemented as a Redis module.
UMLGraph - UMLGraph is a professional automated drawing tool that allows the designers the declarative specification and drawing of UML class and sequence diagram.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Dia - Dia is a GTK+ based diagram creation program for GNU/Linux, MacOS X, Unix, and Windows, and is released under the GPL license.