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The Rise of GenAI - Analyzing the npm public registry

Started ‎04-08-2024 by
Modified ‎05-22-2024 by
Views 1,718

This infographic visualizes packages published in the world's largest software registry given their keyword relationships. There is a link between two packages if both share one or more keywords. The large network reflects that relationship and community detection has been used to categorize packages into groups of interest. Given the applied search filter for 'openAI' and 'llm', it shows beautifully expected clusters for topics around 'typescript' or 'tokenizers'. Since launch of ChatGPT and related models such as GPT-4, npm packages publications around generative AI topics increased significantly.

 

The Rise of GenAI - Analyzing the npm public registryThe Rise of GenAI - Analyzing the npm public registry

 

The live report provides some basic interactivity including the package selection to see relevant details such as description as well as navigation in the network for better visibility. You can also view the ultra-high resolution version of the graphic (resolution: 1500x3000, size: 3MB, format: PNG) or the underlying SAS code used to download registry information and prepare the data.

 

Enjoy!

Comments

how to make it like that, there is a connection. I use geo network but not everything shows up

Either the underlying data structure is not correct or some of your nodes don't have valid latitude/longitude coordinates. There is more information about the expected data structure in the doc at https://go.documentation.sas.com/doc/en/vacdc/v_029/vaobj/n0kcvb9vm0kd1sn1b199uu8hgq1w.htm#p1omdndy7... - Note, that all leaf nodes also need to be represented in the source (from) column. This is required so you can specify any potential node attributes such as color or size. Hope this helps. Falko

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Last update:
‎05-22-2024 03:01 PM
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