Made in Canada

Open Source Software Library

Discover open-source software founded or developed in Canada — from academic projects to government tools and community initiatives.

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27 projects found — page 3 of 3
B

BDL LDE Public

Development Tools
Statistics Canada Ottawa, Ontario Other

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.

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J

Jupyter APIs

Development Tools
Statistics Canada Ottawa, Ontario Other

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.

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T

Testing and Automation Software System

Development Tools
Statistics Canada Ottawa, Ontario Apache-2.0

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.

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Z

Zone Kubeflow Containers

Development Tools
Statistics Canada Ottawa, Ontario Other

Container images built for use with Kubeflow in Statistics Canada data-science environments. The repository supports repeatable notebook and workload images for analytics users.

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S

SLICEmyPDF

Development Tools
Statistics Canada Ottawa, Ontario Other

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.

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E

EpiSim

Development Tools
Statistics Canada Ottawa, Ontario Other

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.

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G

G-Series in R

Development Tools
Statistics Canada Ottawa, Ontario Other

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.

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