astronomous
Founder & CTO @getstrm . Check out PACE, the Policy As Code Engine, for easily managing and applying data policies.
@getstrm STRMNL
Pinned Repositories
cli
Stream Machine Command Line Interface
java-examples
Examples for interacting with Stream Machine on the JVM
strm-prism
the STRM styles for prismjs code highlighting
V_Fun
Emojies, Smileys...
pace
Data policy IN, dynamic view OUT: PACE is the Policy As Code Engine. It helps you to programatically create and apply a data policy to a processing platform like Databricks, Snowflake or BigQuery (or plain 'ol Postgres, even!) with definitions imported from Collibra, Datahub, ODD and the like.
careers
Care to build for privacy? Come join us!
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 🪄
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.
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.
astronomous's Repositories
astronomous/cli
Stream Machine Command Line Interface
astronomous/java-examples
Examples for interacting with Stream Machine on the JVM
astronomous/strm-prism
the STRM styles for prismjs code highlighting
astronomous/V_Fun
Emojies, Smileys...