Open Source Software Library

Advanced Analytics Workspace (AAW) is Statistics Canada's open source platform for data science and machine learning (ML) for advanced practitioners to get their work done in an unrestricted environment made by data scientists for data scientists.

Statistics Canada releases open-source tools and R/Python packages for statistical analysis and data dissemination. Their tools include the Canadian Statistical Dissemination Architecture (CSDA), open microdata tools, and visualization packages used by researchers across Canada.

Drupal distribution built around WET-BOEW for accessible multilingual government websites.

This project was designed to integrate with Statistic Canada’s The Zone platform. In The Zone, users can create individual workspaces with Kubeflow Notebooks. To persist their work, users can attach volumes to their notebooks. These volumes are not automatically deleted when a notebook is deleted. Users are free to move them or to reuse them. As a result, over time, users tend to amass several unused volumes. These volumes sit on the cloud and result in unnecessary costs. The purpose of this project is to design an automatic system that detects these unused volumes and safely removes them, reducing unnecessary expenditure. Despite being primarily designed for Statistics Canada, this project strongly values open-source practices. The codebase is available for public use and the entire development process is documented on the issues page. The volume cleaner was designed to have as little coupling as possible so it can easily integrate into projects outside Statistics Canada. Using open-source and being open-source was an important development philosophy.

Python package from Statistics Canada for standardizing road attributes and municipality names. It is useful for data-cleaning workflows that need consistent geospatial and administrative naming before analysis or publication.

Terraform module that deploys a managed Microsoft SQL instance on Azure. It helps Statistics Canada and other teams create repeatable database infrastructure with version-controlled configuration.