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.
No prior expertise in differential privacy is needed to use Tumult Analytics. Users who still wish to learn more about the fundamentals of differential privacy can consult this blog post series or this longer introduction.
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