Open Source Software Library

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.

AAW Kubeflow Profiles Controller is an open-source project or repository maintained by Statistics Canada in Canada.

AAW Contrib Containers is an open-source project or repository maintained by Statistics Canada in Canada.

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.

Terraform module for provisioning managed MSSQL servers in Azure. The project separates server-level infrastructure concerns so teams can compose larger cloud-native data platforms.

Terraform module for Azure MSSQL elastic pools, enabling shared database capacity to be deployed consistently. It is useful for data platforms that run many SQL workloads with controlled infrastructure definitions.

Kubernetes admission tooling that injects Kerberos sidecars into workloads that need secure authentication. It supports enterprise data-science and analytics platforms where legacy identity systems must integrate with containers.

Small Electron desktop application for working with Kubeflow environments. It provides a client-side wrapper that can make Kubeflow workflows easier for analysts or platform users to access.

Terraform module for per-environment Azure configuration in Statistics Canada Advanced Analytics Workspaces. It helps platform teams keep analytics workspace environments reproducible and easier to audit.

Terraform module that defines network components for Advanced Analytics Workspaces. It supports standardized deployment of secure analytics networking in Statistics Canada cloud environments.

Go utility that monitors Kubernetes jobs and terminates sidecars after the main job completes. It helps batch-processing workloads finish cleanly in service-mesh or sidecar-heavy environments.

Archived testing repository for containers used in Kubeflow-based Advanced Analytics Workspaces. It demonstrates build and test patterns for data-science images used by public-sector analytics teams.

Open-source extension marketplace for VS Code maintained in the Statistics Canada ecosystem. It provides infrastructure for discovering and distributing editor extensions in controlled or self-hosted environments.

Kubernetes component that injects tolerations for Advanced Analytics Workspace workloads. It helps data-science notebooks and jobs land on appropriate nodes while keeping scheduling policy centralized.

Terraform module for deploying kube-prometheus-stack into Kubernetes clusters. It gives platform teams a reusable way to install observability components for cloud-native analytics services.

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.