The document discusses software tools for high-throughput materials design and machine learning developed by Anubhav Jain and collaborators. The tools include pymatgen for structure analysis, FireWorks for workflow management, and atomate for running calculations and collecting output into databases. The matminer package allows analyzing data from atomate with machine learning methods. These open-source tools have been used to run millions of calculations and power databases like the Materials Project.