Tumult Analytics

Best-in-class open source framework for differential privacy

12 followers

Best-in-class open source framework for differential privacy

12 followers

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.

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Launch tags:Privacy•Data & Analytics•Data Science

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Maker

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 releasing it as open-source software 🚀 To hear more about differential privacy or Tumult Analytics, check out our blog post announcing this open-source launch: https://tmlt.io/research/tumult-... If you have any questions, post a comment below, or you can also directly join our Slack: https://join.slack.com/t/tmltdev... Looking forward to hearing from you! ❤️

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4yr ago

Maker

Super excited to see this launch! ✨

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4yr ago

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