Bibliothèque de logiciels libres

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.

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.

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.

Collection of tools used by the Canadian Digital Service to support confidentiality, integrity and availability of applications. It includes shared security automation and reference material for operational teams.

Reusable workflow definitions and automation assets maintained by the Canadian Digital Service. The repository helps standardize repeated development and operational tasks across CDS projects.

Companion documentation for Veterans Affairs Canada’s Find Benefits and Services product. It captures product context, research and operating guidance that can be reused by service teams.

Public release repository for Canadian Digital Service site-reliability-engineering practices. It shares operational templates, processes and documentation for running reliable government digital services.

Starter-app based prototype for simplifying privacy statements in government services. It explores how plain-language content and service design can make privacy notices easier to understand.