LaurentGoderre

census_birthplace

These chord diagrams distribute immigrants according to their place of birth and their place of residence as of the 2016 Census. Users can select an area in the place of birth or the place of residence drop-down menu. Selecting a place of birth, place of residence, admission category or period of immigration changes the data shown in both graphs accordingly. Data are shown for Canada, provinces and territories, census metropolitan areas and areas outside of census metropolitan areas.

census_occupations

This interactive diagram shows the proportion in each occupation category, as well as the median employment income of the employed labour force who worked full year, full time and reported employment income in 2015. Data views are available for Canada, provinces and territories and census metropolitan areas (CMAs), as well as for various levels of education. A corresponding table is linked below the diagram.

charts

Curated applications for Kubernetes

d3-canada-map

docker-pachctl

experimental_data_api

HTML5-DJ

i18n-demo

kubecon-cloudnative-eu-2024-distroless

docker-node

Official Docker Image for Node.js :whale: :turtle: :rocket:

LaurentGoderre/image-mount-demo

LaurentGoderre/postgres-init-demo

LaurentGoderre/api-firewall

Fast and light-weight API proxy firewall for request and response validation by OpenAPI specs.

LaurentGoderre/buildkit

concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit

LaurentGoderre/buildx

Docker CLI plugin for extended build capabilities with BuildKit

LaurentGoderre/cli

The Docker CLI

LaurentGoderre/docker-delve

LaurentGoderre/docker-node

Official Docker Image for Node.js :whale: :turtle: :rocket:

LaurentGoderre/docs

Documentation for Docker Official Images in docker-library

LaurentGoderre/docs-1

Source repo for Docker's Documentation

LaurentGoderre/drupal

Docker Official Image packaging for Drupal

LaurentGoderre/foo

LaurentGoderre/go

The Go programming language

LaurentGoderre/hello-world

LaurentGoderre/kserve

Standardized Serverless ML Inference Platform on Kubernetes

LaurentGoderre/langchainjs

🦜🔗 Build context-aware reasoning applications 🦜🔗

LaurentGoderre/matomo

Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!

LaurentGoderre/meta-scripts

Scripts to generate metadata (source IDs, build IDs)

LaurentGoderre/moby

The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

LaurentGoderre/MSBuild2025_Demos

LaurentGoderre/official-images

Primary source of truth for the Docker "Official Images" program

LaurentGoderre/openbao

OpenBao exists to provide a software solution to manage, store, and distribute sensitive data including secrets, certificates, and keys.

LaurentGoderre/opensearch-helm-charts

:wheel_of_dharma: A community repository for Helm Charts of OpenSearch Project.

LaurentGoderre/pipelines

Machine Learning Pipelines for Kubeflow

LaurentGoderre/purl-spec

A minimal specification for purl aka. a package "mostly universal" URL, join the discussion at https://gitter.im/package-url/Lobby

LaurentGoderre/redis

Docker Official Image packaging for Redis

LaurentGoderre/syft

CLI tool and library for generating a Software Bill of Materials from container images and filesystems

LaurentGoderre/testcontainers-buildkit

LaurentGoderre/testcontainers-go

Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done.

LaurentGoderre/unit

NGINX Unit - universal web app server - a lightweight and versatile open source server that simplifies the application stack by natively executing application code across eight different programming language runtimes.