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Tumult Analytics is an open-source Python framework that enables organizations to safely release aggregate statistics from sensitive data. It provides a mathematically proven safety guarantee: differential privacy.
Tumult Analytics
Best-in-class open source framework for differential privacy
Jahlela Hasle
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Hi folks, this is Jahlela, an engineer at Tumult Labs 👋
We’re a company focused on differential privacy, a technology that allows organizations like the U.S. Census Bureau, the IRS, and the Wikimedia Foundation to safely publish statistics from very sensitive data.
To support these use cases, we’ve built Tumult Analytics, the best-in-class framework for differential privacy. And today, we’re...
Tumult Analytics
Best-in-class open source framework for differential privacy
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