PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
class PublicPartitionsSummary:
num_dataset_public_partitions: int # in dataset and public partitions
num_dataset_non_public_partitions: int # in dataset and not in public partitions
num_empty_public_partitions: int # not in dataset and in public partitions
Public partition summary, namely: