This Week in Neo4j: NFTs, Extension for Liquibase, Visualizations in Jupyter, CSV Mapping Editor, and More
Blog post from Neo4j
The Neo4j community has been actively sharing their projects and knowledge with each other. Florent Biville presented a tech talk on the Neo4j extension for Liquibase, showcasing its capabilities in a schemaless world. Meanwhile, Luke Cassady-Dorion built a Node.js project to graph NFT data using Neo4j, demonstrating interesting patterns of NFT collections. Additionally, Suliman Sharif shared his experience with porting Global-Chem graph infrastructure into Neo4j using a connector, and Sul tweeted about the benefits of using Neo4j Bloom feature in chemistry research. The community is also exploring new tools and features, such as the ICS Packet Capture Visualizer README update on Github, which now serves as a mini-lab for iPthyon, PyShark, and Neo4j users.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.