Open source

Cape Privacy is the data privacy solution for collaborative data science and machine learning.

Open community. Open learning.

Cape Privacy was conceived from the beginning as an open source effort. To truly have an impact, we believe the Cape solution must be open source, so that it’s freely accessible to developers. At Cape Privacy, we are committed to growing an online and open community that will change the worlds of Data Privacy and Data Science.

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The Cape source and binaries are available on GitHub as well as popular package repositories. Cape Core contains the Cape Coordinator and Cape CLI. Cape Python contains libraries for integrating with Pandas and Apache Spark.

Cape Core on GitHubCape Python on GitHub

Made for data science and machine learning

Get started with Python, Apache Spark and Apache Arrow integrations to allow you to keep using the tools you know and love in a safe and secure way. New integrations are in development for our open-source tools. Slack us or hop onto our Cape Feature Roadmap to learn more about upcoming features and let us know what you would like to see.

Extensible advanced privacy and security features

Cape Transformations are shipped in our open-source repository. We encourage you to edit, change and add new transformations for data protection, data security and data privacy in your data science workflows. Check out our repository and examples to learn how to write your own data protection functions and use them in Cape!

Latest Release Notes

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Introducing Cape Coordinator

Cape Coordinator is a server application that manages access to policies and projects based on user authentication and user roles. It interfaces with libraries like Cape Python to transform and protect sensitive data within Pandas and Apache Spark.

Introducing Cape CLI

The Cape CLI (command line interface) is a way of interacting with Cape Coordinator. It provides commands to manage policies, projects and users.

Things to try in this version

Create and Manage Users, Projects, and Policies.

The new Cape CLI has many features for managing Cape Coordinator. Check the CLI Usage documentation for examples of how to use the CLI for common tasks.

Suggest and Review Policy Changes

Users with the project-contributor or project-owner role types cansuggest changes to privacy policy through the CLI. This workflow changes the project's active policy to a project.

New Installation and Deployment Options

There are two ways to install Cape Coordinator: Deploy to Kubernetes or Install locally using the CLI.

Cape Privacy's Open Source Contributions

TF Encrypted For Machine Learning
Check out our work on TF Encrypted, allowing you to perform deep learning on encrypted data.

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Be a part of our open community and embrace the learning opportunities only Cape can provide.

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Our mission is simple: data privacy for all

At Cape, our foundational core values are those of respect, collaboration, and trust.

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Getting started with Cape Privacy

Cape Privacy is the data privacy solution for collaborative data science and machine learning. Learn how we value customer trust and data insights equally.

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