Metadata-Version: 2.1
Name: opendp-smartnoise
Version: 0.1.4.2
Summary: UNKNOWN
Home-page: UNKNOWN
Author: opendp-smartnoise
License: UNKNOWN
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: msrest
Requires-Dist: scipy
Requires-Dist: antlr4-python3-runtime (==4.8)
Requires-Dist: pandasql
Requires-Dist: statsmodels
Requires-Dist: pyyaml
Requires-Dist: opendp-smartnoise-core

# SmartNoise: Tools for Differential Privacy

The SmartNoise tools allow researchers and analysts to: 

* Use SQL dialect to create differentially private results over tabular data stores
* Perform privacy algorithm stochastic testing against differential privacy modules

The SmartNoise system is currently aimed at scenarios where the researcher is trusted by the data owner.  Future releases will focus on hardened scenarios where the researcher or analyst is untrusted.  


