Tumult
Visit ToolTumult Analytics is a Data & Analytics tool that computes aggregate queries on tabular data using differential privacy. It is a Python library that runs on Spark for scalability.
At a glance
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Tumult Analytics is a Data & Analytics tool that computes aggregate queries on tabular data using differential privacy. It is a Python library that runs on Spark for scalability.
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About
Tumult Analytics is a robust Python library designed for computing aggregate queries on tabular data with differential privacy. Its interface is familiar to users of SQL or PySpark, making it easy to adopt. The tool is feature-rich, supporting a growing list of aggregation functions, data transformation operators, and privacy definitions. Built and maintained by differential privacy experts, Tumult Analytics is scalable, leveraging Spark to handle very large datasets. It is used in production at institutions like the U.S. Census Bureau. The library provides comprehensive documentation, tutorials, and deployment guides for various environments, including AWS Glue and Databricks.
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Pricing & Plans
Open Source
Not publicly disclosed. Check tmlt.dev for current pricing.
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