Pinned Repositories
strm-privacy-diagnostics
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.
api-definitions
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!
cli
This is the STRM Privacy Command Line Interface, to define and manage your privacy streams, data schemas, event contracts and much more.
data-plane-helm-chart
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 🪄
api-definitions-go
STRM Privacy gRPC API Definitions for Golang
docs
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.
homebrew-cli
Provides a formula for the STRM Privacy CLI (https://github.com/strmprivacy/cli)
python-driver
Python driver for interacting with STRM Privacy.
rust-driver
the Rust language STRMPrivacy driver
java-driver
Java driver for interacting with STRM Privacy.
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