Rename to Cape Dataframes - 0.3.1

Renamed the library to cape_dataframes so that it doesn't conflict with our recent projects like PyCape.

What's Changed

• will update patch versions if necessary by @justin1121 in #105
• fix warning about type signatures in spark 3 by @justin1121 in #106
• Skip transform if column doesn't exist in data by @justin1121 in #108
• Adds the ability to send logs to the coordinator by @justin1121 in #107
• Cape Dataframes by @gavinuhma in #140
• Refresh library by @jvmncs in #141
• Finish renaming lib by @jvmncs in #142
• bump version from 0.3.0 to 0.3.1 by @jvmncs in #143

Full Changelog: 0.3.0...0.3.1

Reversible Tokenizations - 0.3.0

Release Notes

• Introducing Reversible Tokenization: Leverage reversible, linkable tokenization for projects where a subset of users will need to reverse the tokenization to review the raw values. This is particularly relevant for data science projects centered around fraud, anomaly detection or other projects where a subset of rows might need to have their initial or unprotected values shown for business or data science needs.
• Cape Core Key Integration: Store your tokenization keys in Cape Core automatically when implementing tokenization in your policies. Keeping keys in a safe location can help you to ensure those keys are not exposed when sharing policy with others using Cape Core. This can also help you maintain, expire and rotate keys in a coordinated manner while using Cape.

Cape Core Integration - 0.2.0

Cape Core Integration - 0.2.0

This release offers integrations to elements of Cape Core: the Cape Coordinator service.

Refer to Cape Core for installation and usage guides.

You can view the source code in the Cape GitHub repository.

Manage data policies with Cape Coordinator

Cape Coordinator is a server application that manages access to policies and projects based on user authentication and user roles. This release makes it available to deploy to Kubernetes, or install locally using a CLI to test it out.

24th June 2020 - 0.1.1 - "Snack"

24th June 2020 - 0.1.1 - "Snack"

This release offers a preview of Cape Privacy's functionality, using Cape Python. It gives data scientists a first look at some key elements of Cape Privacy's tooling, including writing policies and using Cape Privacy's built-in transformations.

Refer to the Quickstart for information on installing and using Cape Python.

Also contains minor documentation fixes over 0.1.0.

Writing data policies

Cape Python supports data policies written in YAML.

Refer to Policies for more information.

Five built-in transformations

Cape Python includes five built-in transformations:

• date-pertubation
• number-pertubation
• date-truncation
• numeric-rounding
• tokenizer

Refer to Transformations for more information.

Release Candidate 0.1.1-rc0

release 0.1.1rc0

24th June 2020 - 0.1.0 - "Snack"

24th June 2020 - 0.1.0 - "Snack"

This release offers a preview of Cape Privacy's functionality, using Cape Python. It gives data scientists a first look at some key elements of Cape Privacy's tooling, including writing policies and using Cape Privacy's built-in transformations.

Refer to the Quickstart for information on installing and using Cape Python.

Writing data policies

Cape Python supports data policies written in YAML.

Refer to Policies for more information.

Five built-in transformations

Cape Python includes five built-in transformations:

• date-pertubation
• number-pertubation
• date-truncation
• numeric-rounding
• tokenizer

Refer to Transformations for more information.

Release Candidate 0

0.1.0-rc0

0.1.0rc0 release plus minor fixes