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.

Axiom is a free, open-source computer algebra system with a long history. Canadian mathematicians supported through NSERC (Natural Sciences and Engineering Research Council) have contributed significantly to its formal mathematics libraries and documentation.

Developed by the National Research Council of Canada, the NRC Word-Emotion Association Lexicon (EmoLex) is a widely-cited open linguistic resource mapping words to emotions and sentiments. It is freely available for research and has been used in thousands of NLP studies worldwide.

Open Data is structured data (data with a pattern that makes it easy to search and use) that is machine-readable, freely shared, used and built on without restrictions.

Aries Verifiable Credentials Registry (VCR), part of the Hyperledger Aries family of Digital Trust technologies, provides a searchable public directory based on Verifiable Credentials (VCs). It was historically known as both OrgBook (which is actually a deployment of Aries VCR) and Indy Catalyst. Aries VCR is actively developed by the British Columbia Government’s Digital Trust Team in Canada, and the most well-known live example is OrgBook BC. In an instance of Aries VCR, credentials can be issued from a variety of authorities about subjects in the instance. A core set of credentials are issued by an authority responsible for “creating” the subject. Other credentials can then be issued against the subject of these core credentials. All credentials are stored in a secure digital wallet and accessed via its website or the public API. This means an instance of Aries VCR can be an authoritative public registry of any referenceable information.

Jupyter Book is an open-source tool for building publication-quality books and documents from computational material. Jupyter Book allows users to write their content in Markdown files or Jupyter notebooks, include computational elements (e.g., code cells) in either type, include rich syntax such as citations, cross-references, and numbered equations, and using a simple command, run the embedded code cells, cache the outputs and convert this content into: a web-based interactive book and a publication-quality PDF.