Open Source Software Library

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.

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.