Open Source Software Library

Python anonymization package from Statistics Canada for privacy-protection workflows. It supports identification and treatment of sensitive information, helping analysts prepare safer datasets for sharing or processing.

Official Statistics Canada repository for Banff procedures, a modular statistical package for data editing and imputation. It supports production-quality statistical processing and modernization of survey data workflows.

Metadata-driven tool for designing and executing statistical data-editing processes with Banff. It gives statistical programs a more automated way to organize editing steps, parameters, and reproducible processing.

Statistics Canada public repository related to the Linkable Data Environment. It supports open sharing of scripts and assets used around data linkage, documentation, and analytical data products.

Golang replacement for Kubeflow Jupyter web APIs used in the Statistics Canada platform environment. It provides service endpoints for notebook management in Kubernetes-based analytics workspaces.

Testing and Automation Software System helps users create and run reproducible web-application test cases from JSON job definitions. It supports repeatable automated service testing for public-sector applications.

Container images built for use with Kubeflow in Statistics Canada data-science environments. The repository supports repeatable notebook and workload images for analytics users.

Statistics Canada tool using the SLICE algorithm to extract financial-statement and tabular information from text-based PDF pages. It is useful for repeatable table extraction where analysts need transparent parsing logic.

R package that builds multi-compartment epidemiological models from Excel-defined model structures. It includes sensitivity-analysis and visualization tools for users modelling infectious-disease scenarios.

R implementation of Statistics Canada generalized G-Series methods for time-series benchmarking and balancing. It modernizes SAS-based statistical production procedures into an open R package.