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.
Drupal WxT
Development Tools VerifiedDrupal distribution built around WET-BOEW for accessible multilingual government websites.
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Volume Cleaner
System & Infrastructure VerifiedThis project was designed to integrate with Statistic Canada’s The Zone platform. In The Zone, users can create individual workspaces with Kubeflow Notebooks. To persist their work, users can attach volumes to their notebooks. These volumes are not automatically deleted when a notebook is deleted. Users are free to move them or to reuse them. As a result, over time, users tend to amass several unused volumes. These volumes sit on the cloud and result in unnecessary costs. The purpose of this project is to design an automatic system that detects these unused volumes and safely removes them, reducing unnecessary expenditure. Despite being primarily designed for Statistics Canada, this project strongly values open-source practices. The codebase is available for public use and the entire development process is documented on the issues page. The volume cleaner was designed to have as little coupling as possible so it can easily integrate into projects outside Statistics Canada. Using open-source and being open-source was an important development philosophy.
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AAW Kubeflow Profiles Controller
Health & Medicine VerifiedAAW Kubeflow Profiles Controller is an open-source project or repository maintained by Statistics Canada in Canada.
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AAW Contrib Containers
Health & Medicine VerifiedAAW Contrib Containers is an open-source project or repository maintained by Statistics Canada in Canada.
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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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