Open Source Software Library

Tools and policy checks that help Government of Canada teams evaluate IBM Cloud deployments against common cloud guardrails. It is useful for repeatable compliance reviews, documentation of security expectations, and sharing implementation patterns across departments.

Open Policy Agent guidance and configuration examples for checking Google Cloud Platform services against Government of Canada cloud guardrails. The repository documents recommended settings and gives teams a reusable starting point for compliant GCP deployments.

PowerShell-based tooling for assessing Microsoft Azure environments against Government of Canada cloud guardrail requirements. Although archived, it remains a useful reference for Azure compliance automation and policy-as-code patterns.

Terraform and infrastructure templates for accelerating Government of Canada service delivery on Google Cloud Platform. The project packages reusable baseline patterns so teams can start cloud projects with consistent security and operational defaults.

Infrastructure and policy examples for checking Oracle Cloud deployments against Government of Canada guardrails. It provides reusable guidance for teams that need to document cloud compliance controls in Oracle environments.

Draft Government of Canada guidance on open standards, policy-as-code and technology decision-making. It helps public-sector teams document standards, reuse technology choices, and align digital services with open-by-default practices.

Government of Canada digital playbook content covering accessibility, service design, collaboration, data and open standards. It acts as a reusable guide for public servants building user-centred digital services.

Minimum guardrails and practical guidance for preventing ransomware in Government of Canada environments. The project is useful as a policy and control reference for security teams reviewing digital services.

A Government of Canada guidance repository that supports technical architecture decisions around cloud adoption. It is best used as reference material for teams aligning infrastructure work with public-sector cloud practices.

Reusable PowerShell and infrastructure assets that help Government of Canada teams bootstrap Azure-based services. The repository collects patterns intended to speed up delivery while keeping deployments aligned with shared standards.

Start-here repository for contributors and users of the Government of Canada GitHub organization. It provides orientation material, contribution links, and a lightweight entry point for finding public-sector open-source work.

Python code for generating GCpedia data-directory pages from structured Government of Canada data ecosystem information. It is a practical automation tool for publishing internal data catalog content consistently.

Repository used for Government of Canada data ecosystem experiments and supporting code. It captures early work around cataloguing, connecting, and documenting data resources across departments.

Static site repository for stories and insights about the design of Canada.ca. The content is useful for teams studying public-sector UX decisions, service patterns, and Canada.ca publishing practices.

Accessibility-focused Canada.ca repository used to share HTML examples, guidance and checks. It supports public-sector web teams working to make digital services conformant, usable, and easier to test.

Repository for oversight material related to user and workpoint technology in Government of Canada contexts. It provides a public artifact for governance discussions and review practices.

Archived source for the Canada.ca Digital Transformation Office blog. It remains useful as a public record of service-design practices, transformation updates, and web publishing patterns.

French-language Canada.ca Digital Transformation Office blog source. The repository preserves bilingual publishing examples and public-sector digital transformation content.

Prototype JavaScript service for processing DMARC report data in a Government of Canada context. It can serve as a reference for email-domain security monitoring and report automation.

Reusable infrastructure templates and examples for accelerating Government of Canada service delivery on AWS. The repository provides cloud starter patterns for teams seeking standardized deployments.

Jekyll boilerplate for building sites with Canada.ca templates and WET-based layouts. It helps teams produce static websites that follow Canada.ca styling and publishing conventions.

Proof-of-concept Alexa voice skill for Health Canada recalls and safety alerts. It demonstrates how public health and safety alert data could be exposed through voice assistants.

Public repository for the Government of Canada Open Source Advisory Board. It documents discussions, advice, and artifacts supporting open-source policy and contribution practices.

PowerShell reference implementation for an Azure landing-zone base cloud architecture. It documents reusable public-sector patterns for secure cloud account and network foundations.

Static site and materials for Open First Day, a Government of Canada event promoting open-by-default work. The repository provides reusable event content and advocacy material for open-source culture.

Main application for a Government of Canada developers exchange, intended to help public servants find tools, guidance and shared development resources. It supports collaboration and reuse across digital teams.

Prototype work for online regulatory consultations using the Web Experience Toolkit. The repository explores how regulation engagement experiences can be built with accessible Canada.ca patterns.

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.

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.