Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy

Tumult Analytics is an open-source framework for releasing aggregate information from sensitive datasets with differential privacy (DP). It supports many standard operations (e.g. filters, joins, maps) and aggregations (e.g. counts, averages, quantiles). It is currently used at institutions such as the IRS, the Wikimedia Foundation, and the U.S. Census Bureau.