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PhD Student @ ETH Zürich
- https://pps-lab.com/people/nicolaskuechler/
Stars
Open, Multi-modal Catalog for Data & AI
MySQL-compatible database for GDPR compliance by construction.
Lomas: The data oases hidden behind the mist. A platform for confidential analysis of private data.
The core library of differential privacy algorithms powering the OpenDP Project.
Repo of adapters converting a Cerbos Query Plan to a data fetching layer
Cerbos is the open core, language-agnostic, scalable authorization solution that makes user permissions and authorization simple to implement and manage by writing context-aware access control poli…
Distributed self-replicating programs in Python
Diffprivlib: The IBM Differential Privacy Library
This is the development home of the workflow management system Snakemake. For general information, see
Generate authentic looking mock data based on a SQL, JSON or Avro schema and produce to Kafka in JSON or Avro format.
Collection of CI configuration files for Rust projects
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
cluster data collected from production clusters in Alibaba for cluster management research
DPLab: Benchmarking Differential Privacy Aggregation Operations
autodp: A flexible and easy-to-use package for differential privacy
Tools and service for differentially private processing of tabular and relational data
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
A native Rust library for Delta Lake, with bindings into Python
Open-source description language for privacy to declare data types and data behaviors in your tech stack in order to simplify data privacy globally. Supports GDPR, CCPA, LGPD and ISO 19944.