The author created a tool to analyze Python project licenses using Neo4j, leveraging PyPi's JSON pages for scraping data. They started with the top 5,000 packages and added an extra 315 due to missing dependencies. The data was stored in a graph database, excluding licenses as separate nodes to avoid finding packages based on their license. To access the data, they used Fast-API and py2neo, requiring five licenses in total. The tool provides a REST API for querying licenses of start packages and all their dependencies with any number of packages in between. Analysis revealed that the most popular license is MIT (42%), followed by Apache (26%), with BSD at 16%. The author concludes that while thinking about licenses might be unnecessary, there is now a tool to help developers manage this.