Tumult Analytics documentation#
Tumult Analytics is a Python library for computing aggregate queries on tabular data using differential privacy.
Tumult Analytics is…
… robust: it is built and maintained by a team of differential privacy experts, and runs in production at institutions like the U.S. Census Bureau.
… scalable: it runs on Spark, so it can scale to very large datasets.
… easy to use: its interface will seem familiar to anyone with prior experience with tools like SQL or PySpark.
… feature-rich: it supports a large and ever-growing list of aggregation functions, data transformation operators, and privacy definitions.
New users probably want to start with the Installation instructions.
Alternatively, to try Tumult Analytics without installing it, you can run this Colab notebook.
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