Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
KeyLines
Gephi
UMLGraph
Dia
yEd
draw.io
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.
Jupyter KeyLinesNo features have been listed yet.
Based on our record, Jupyter seems to be a lot more popular than KeyLines. While we know about 205 links to Jupyter, 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.
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 10 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 21 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 16 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 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
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Gephi - Gephi is an open-source software for visualizing and analyzing large networks graphs.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
UMLGraph - UMLGraph is a professional automated drawing tool that allows the designers the declarative specification and drawing of UML class and sequence diagram.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Dia - Dia is a GTK+ based diagram creation program for GNU/Linux, MacOS X, Unix, and Windows, and is released under the GPL license.
