NEW: Join our DP community in Slack! This repository contains libraries to generate ε- and (ε, δ)-differentially private (DP) statistics over datasets. It contains the following tools: Privacy on Beam is an end-to-end differential privacy framework for Go built on top of Apache Beam. It is intended to be easy to use, even by non-experts. PipelineDP4j is an end-to-end differential privacy framework
