Statistics Canada Open Tools
Government / Civic VerifiedStatistics 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.
NRC Word-Emotion Association Lexicon
Language & Text VerifiedDeveloped 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.
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Open Data Directive
Communication VerifiedThis Directive outlines requirements for ministries and provincial agencies on listing all data inventories, publishing open data, and preparing information systems to support ongoing open data requirements. The open data initiative supports government efficiency, effectiveness and innovation. Faster and easier access to government data through a one-window data portal facilitates evidence-based policy, informs service delivery and promotes greater transparency and accountability. The open data initiative also supports public engagement and participation by allowing Ontarians to develop their own analysis, insights, and digital products. To support this implementation of the directive, an Open Data Guidebook is available as a tool and resource to Ontario ministries and provincial agencies. The Open Data Directive is a Management Board of Cabinet Directive, issued under the Management Board of Cabinet Act.
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Shopify Theme Check
System & Infrastructure VerifiedStatic analysis and linting tool for Shopify themes.
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RASK CASK Python
Development ToolsPython 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.
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EpiSim
Development ToolsR 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.
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