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@strmprivacy

STRM Privacy

We're building a privacy and security focused data processing platform. Data contracts + privacy transformations = purpose-bound data interfaces.

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  1. cli cli Public

    This is the STRM Privacy Command Line Interface, to define and manage your privacy streams, data schemas, event contracts and much more.

    Go 6 2

  2. api-definitions api-definitions Public

    Our small contribution to your next API: these are the gRPC/Proto definitions STRM Privacy uses for our internal management APIs. It is a *push-only mirror* of our api-definitions repo we keep in G…

    Makefile 8

  3. docs docs Public

    With STRM Privacy you can easily build privacy-by-design data pipelines and define data contracts to encode privacy inside your data. Data streams are pseudonymised or anonymised in real-time or ba…

    JavaScript 3

  4. data-plane-helm-chart data-plane-helm-chart Public

    Care about your data leaving your VPC/environment in SaaS mode? With our self-hosted option you can run our privacy focused Data Plane in your own Kubernetes Cluster. Just (1) sign-up, (2) request …

    Shell 5

  5. strm-privacy-diagnostics strm-privacy-diagnostics Public

    A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with…

    Python 11

Repositories

Showing 10 of 33 repositories
  • api-definitions-go Public

    STRM Privacy gRPC API Definitions for Golang

    strmprivacy/api-definitions-go’s past year of commit activity
    3 Apache-2.0 0 0 0 Updated Dec 18, 2023
  • api-definitions Public

    Our small contribution to your next API: these are the gRPC/Proto definitions STRM Privacy uses for our internal management APIs. It is a *push-only mirror* of our api-definitions repo we keep in GitLab, but we hope this serves as inspiration and/or a quick way for you to get started with gRPC yourself!

    strmprivacy/api-definitions’s past year of commit activity
    Makefile 8 Apache-2.0 0 0 0 Updated Dec 17, 2023
  • docs Public

    With STRM Privacy you can easily build privacy-by-design data pipelines and define data contracts to encode privacy inside your data. Data streams are pseudonymised or anonymised in real-time or batch. These are our docs.

    strmprivacy/docs’s past year of commit activity
    JavaScript 3 0 0 0 Updated Aug 15, 2023
  • homebrew-cli Public

    Provides a formula for the STRM Privacy CLI (https://github.com/strmprivacy/cli)

    strmprivacy/homebrew-cli’s past year of commit activity
    Ruby 3 Apache-2.0 0 0 0 Updated Aug 4, 2023
  • cli Public

    This is the STRM Privacy Command Line Interface, to define and manage your privacy streams, data schemas, event contracts and much more.

    strmprivacy/cli’s past year of commit activity
    Go 6 Apache-2.0 2 12 1 Updated Aug 4, 2023
  • data-plane-helm-chart Public

    Care about your data leaving your VPC/environment in SaaS mode? With our self-hosted option you can run our privacy focused Data Plane in your own Kubernetes Cluster. Just (1) sign-up, (2) request a self-hosted installation, (3) use our values.yaml on your own k8s clusters and (4) run your (customer) data inside your own cloud like 🪄

    strmprivacy/data-plane-helm-chart’s past year of commit activity
    Shell 5 0 1 0 Updated Aug 2, 2023
  • json-diff Public Forked from deblockt/json-diff

    A library to generate a json diff on java

    strmprivacy/json-diff’s past year of commit activity
    Java 0 Apache-2.0 9 0 0 Updated Aug 1, 2023
  • java-driver Public

    Java driver for interacting with STRM Privacy.

    strmprivacy/java-driver’s past year of commit activity
    Java 1 Apache-2.0 1 1 0 Updated Jul 25, 2023
  • PrivacyEngCollabSpace Public Forked from usnistgov/PrivacyEngCollabSpace

    Privacy Engineering Collaboration Space

    strmprivacy/PrivacyEngCollabSpace’s past year of commit activity
    Python 0 130 0 0 Updated Jul 11, 2023
  • strm-privacy-diagnostics Public

    A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with data usability.

    strmprivacy/strm-privacy-diagnostics’s past year of commit activity
    Python 11 0 0 0 Updated Jul 11, 2023
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