Provides a language to express complex, composable features on top of relational time-varying data, an efficient multithreaded engine to compute these features at particular points in time (scalable to clusters using Dask or PySpark), and algorithms for automatically generating the list of features (e.g. Deep Feature Synthesis). I was the first user, a lead developer since 2016, and helped in its transition from closed to open source in 2017.
Recognition: Most popular feature engineering library on Github with over 2400 stars as of November 2018. Stack Overflow tag.
Note: this clickable card redirects to https://github.com/Featuretools/featuretools/commits?author=bschreck.