Google Chart Tools: Image Chart wrapper for Node.js

a tool for finding the Macbeth ColorChecker chart in an image.

# Awesome Keycloak [](https://github.com/sindresorhus/awesome) # [<img src="https://www.keycloak.org/resources/images/keycloak_logo_480x108.png">](https://github.com/thomasdarimont/awesome-keycloak) > Carefully curated list of awesome Keycloak resources. A curated list of resources for learning about the Open Source Identity and Access Management solution Keycloak. Contains books, websites, blog posts, links to github Repositories. # Contributing Contributions welcome. Add links through pull requests or create an issue to start a discussion. [Please refer to the contributing guide for details](CONTRIBUTING.md). # Contents * [General](#general) * [Documentation](#docs) * [Keycloak Website](http://www.keycloak.org) * [Current Documentation](http://www.keycloak.org/documentation.html) * [Archived Documentation](http://www.keycloak.org/documentation-archive.html) * [Mailing Lists](#mailing-lists) * [User Mailing List](#user-mailing-list) * [Developer Mailing List](#dev-mailing-list) * [Mailing List Search](#mailing-list-search) * [Books](#books) * [Articles](#articles) * [Talks](#talks) * [Presentations](#presentations) * [Video Playlists](#video-playlists) * [Community Extensions](#community-extensions) * [Integrations](#integrations) * [Themes](#themes) * [Docker](#docker) * [Deployment Examples](#deployment-examples) * [Example Projects](#example-projects) * [Benchmarks](#benchmarks) * [Help](#help) * [Commercial Offerings](#commercial-offerings) * [Miscellaneous](#miscellaneous) # General ## Documentation * [Keycloak Website](http://www.keycloak.org/) * [Current Documentation](http://www.keycloak.org/documentation.html) * [Archived Documentation](http://www.keycloak.org/documentation-archive.html) * [Product Documentation for Red Hat Single Sign-On](https://access.redhat.com/documentation/en/red-hat-single-sign-on/) ## Discussion Groups and Mailing Lists * [Keycloak Users Google Group](https://groups.google.com/forum/#!forum/keycloak-user) * [Keycloak Developers Google Group](https://groups.google.com/forum/#!forum/keycloak-dev) * [Keycloak Discourse Group](https://keycloak.discourse.group/) * [Keycloak Developer Chat](https://keycloak.zulipchat.com) * [Inactive - User Mailing List](https://lists.jboss.org/mailman/listinfo/keycloak-user) * [Inactive - Developer Mailing List](https://lists.jboss.org/mailman/listinfo/keycloak-dev) * [Mailing List Search](http://www.keycloak.org/search) * [Keycloak Subreddit](https://www.reddit.com/r/keycloak) ## Books * [Keycloak - Identity and Access Management for Modern Applications](https://www.packtpub.com/product/keycloak-identity-and-access-management-for-modern-applications/9781800562493) ## Articles * [How to get Keycloak working with Docker](https://www.ivonet.nl/2015/05/23/Keycloak-Docker/) * [Single-Sign-On for Microservices and/or Java EE applications with Keycloak SSO](http://www.n-k.de/2016/06/keycloak-sso-for-microservices.html) * [Keycloak Admin Client(s) - multiple ways to manage your SSO system](http://www.n-k.de/2016/08/keycloak-admin-client.html) * [How to get the AccessToken of Keycloak in Spring Boot and/or Java EE](http://www.n-k.de/2016/05/how-to-get-accesstoken-from-keycloak-springboot-javaee.html) * [JWT authentication with Vert.x, Keycloak and Angular 2](http://paulbakker.io/java/jwt-keycloak-angular2/) * [Authenticating via Kerberos with Keycloak and Windows 2008 Active Directory](http://matthewcasperson.blogspot.de/2015/07/authenticating-via-kerberos-with.html) * [Deploying Keycloak with Ansible](https://adam.younglogic.com/2016/01/deploying-keycloak-via-ansible/) * [Easily secure your Spring Boot applications with Keycloak](https://developers.redhat.com/blog/2017/05/25/easily-secure-your-spring-boot-applications-with-keycloak/) * [How Red Hat re-designed its Single Sign On (SSO) architecture, and why](https://developers.redhat.com/blog/2016/10/04/how-red-hat-re-designed-its-single-sign-on-sso-architecture-and-why/) * [OAuth2, JWT, Open-ID Connect and other confusing things](http://giallone.blogspot.de/2017/06/oath2.html) * [X509 Authentication with Keycloak and JBoss Fuse](https://sjhiggs.github.io/fuse/sso/x509/smartcard/2017/03/29/fuse-hawtio-keycloak.html) * [Running Keycloak on OpenShift 3](https://medium.com/@sbose78/running-keycloak-on-openshift-3-8d195c0daaf6) * [Introducing Keycloak for Identity and Access Management](https://www.thomasvitale.com/introducing-keycloak-identity-access-management/) * [Keycloak Basic Configuration for Authentication and Authorisation](https://www.thomasvitale.com/keycloak-configuration-authentication-authorisation/) * [Keycloak on OpenShift Origin](https://medium.com/@james_devcomb/keycloak-on-openshift-origin-ee81d01dac97) * [Identity Management, One-Time-Passwords and Two-Factor-Auth with Spring Boot and Keycloak](http://www.hascode.com/2017/11/identity-management-one-time-passwords-and-two-factor-auth-with-spring-boot-and-keycloak/) * [Keycloak Identity Brokering with Openshift](https://developers.redhat.com/blog/2017/12/06/keycloak-identity-brokering-openshift/) * [OpenID Connect Identity Brokering with Red Hat Single Sign-On](https://developers.redhat.com/blog/2017/10/18/openid-connect-identity-brokering-red-hat-single-sign/) * [Authentication & user management is hard](https://eclipsesource.com/blogs/2018/01/11/authenticating-reverse-proxy-with-keycloak/) * [Securing Nginx with Keycloak](https://edhull.co.uk/blog/2018-06-06/keycloak-nginx) * [Secure kibana dashboards using keycloak](https://aboullaite.me/secure-kibana-keycloak/) * [Configuring NGINX for OAuth/OpenID Connect SSO with Keycloak/Red Hat SSO](https://developers.redhat.com/blog/2018/10/08/configuring-nginx-keycloak-oauth-oidc/) * [Keycloak Clustering Setup and Configuration Examples](https://github.com/fit2anything/keycloak-cluster-setup-and-configuration) * [MicroProfile JWT with Keycloak](https://kodnito.com/posts/microprofile-jwt-with-keycloak/) * [Keycloak Essentials](https://medium.com/keycloak/keycloak-essentials-86254b2f1872) * [SSO-session failover with Keycloak and AWS S3](https://medium.com/@georgijsr/sso-session-failover-with-keycloak-and-aws-s3-e0b1db985e12) * [KTOR and Keycloak: authentication with OpenId](https://medium.com/slickteam/ktor-and-keycloak-authentication-with-openid-ecd415d7a62e) * [Keycloak: Core concepts of open source identity and access management](https://developers.redhat.com/blog/2019/12/11/keycloak-core-concepts-of-open-source-identity-and-access-management) * [Who am I? Keycloak Impersonation API](https://blog.softwaremill.com/who-am-i-keycloak-impersonation-api-bfe7acaf051a) * [Setup Keycloak Server on Ubuntu 18.04](https://medium.com/@hasnat.saeed/setup-keycloak-server-on-ubuntu-18-04-ed8c7c79a2d9) * [Getting started with Keycloak](https://robferguson.org/blog/2019/12/24/getting-started-with-keycloak/) * [Angular, OpenID Connect and Keycloak](https://robferguson.org/blog/2019/12/29/angular-openid-connect-keycloak/) * [Angular, OAuth 2.0 Scopes and Keycloak](https://robferguson.org/blog/2019/12/31/angular-oauth2-keycloak/) * [Keycloak, Flowable and OpenLDAP](https://robferguson.org/blog/2020/01/03/keycloak-flowable-and-openldap/) * [How to exchange token from an external provider to a keycloak token](https://www.mathieupassenaud.fr/token-exchange-keycloak/) * [Building an Event Listener SPI (Plugin) for Keycloak](https://dev.to/adwaitthattey/building-an-event-listener-spi-plugin-for-keycloak-2044) * [Keycloak user migration – connect your legacy authentication system to Keycloak](https://codesoapbox.dev/keycloak-user-migration/) * [Keycloak Authentication and Authorization in GraphQL](https://medium.com/@darahayes/keycloak-authentication-and-authorization-in-graphql-ad0a1685f7da) * [Kong / Konga / Keycloak: securing API through OIDC](https://github.com/d4rkstar/kong-konga-keycloak) * [KeyCloak: Custom Login theme](https://codehumsafar.wordpress.com/2018/09/11/keycloak-custom-login-theme/) * [Keycloak: Use background color instead of background image in Custom Login theme](https://codehumsafar.wordpress.com/2018/09/21/keycloak-use-background-color-instead-of-background-image-in-custom-login-theme/) * [How to turn off the Keycloak theme cache](https://keycloakthemes.com/blog/how-to-turn-off-the-keycloak-theme-cache) * [How to add a custom field to the Keycloak registration page](https://keycloakthemes.com/blog/how-to-add-custom-field-keycloak-registration-page) * [How to setup Sign in with Google using Keycloak](https://keycloakthemes.com/blog/how-to-setup-sign-in-with-google-using-keycloak) * [How to sign in users on Keycloak using Github](https://keycloakthemes.com/blog/how-to-sign-in-users-on-keycloak-using-github) * [Extending Keycloak SSO Capabilities with IBM Security Verify](https://community.ibm.com/community/user/security/blogs/jason-choi1/2020/06/10/extending-keycloak-sso-capabilities-with-ibm-secur) * [AWS SAML based User Federation using Keycloak](https://medium.com/@karanbir.tech/aws-connect-saml-based-identity-provider-using-keycloak-9b3e6d0111e6) * [AWS user account OpenID federation using Keycloak](https://medium.com/@karanbir.tech/aws-account-openid-federation-using-keycloak-40d22b952a43) * [How to Run Keycloak in HA on Kubernetes](https://blog.sighup.io/keycloak-ha-on-kubernetes/) * [How to create a Keycloak authenticator as a microservice?](https://medium.com/application-security/how-to-create-a-keycloak-authenticator-as-a-microservice-ad332e287b58) * [keycloak.ch | Installing & Running Keycloak](https://keycloak.ch/keycloak-tutorials/tutorial-1-installing-and-running-keycloak/) * [keycloak.ch | Configuring Token Exchange using the CLI](https://keycloak.ch/keycloak-tutorials/tutorial-token-exchange/) * [keycloak.ch | Configuring WebAuthn](https://keycloak.ch/keycloak-tutorials/tutorial-webauthn/) * [keycloak.ch | Configuring a SwissID integration](https://keycloak.ch/keycloak-tutorials/tutorial-swissid/) * [Getting Started with Service Accounts in Keycloak](https://medium.com/@mihirrajdixit/getting-started-with-service-accounts-in-keycloak-c8f6798a0675) * [Building cloud native apps: Identity and Access Management](https://dev.to/lukaszbudnik/building-cloud-native-apps-identity-and-access-management-1e5m) * [X.509 user certificate authentication with Red Hat’s single sign-on technology](https://developers.redhat.com/blog/2021/02/19/x-509-user-certificate-authentication-with-red-hats-single-sign-on-technology) * [Grafana OAuth with Keycloak and how to validate a JWT token](https://janikvonrotz.ch/2020/08/27/grafana-oauth-with-keycloak-and-how-to-validate-a-jwt-token/) * [How to setup a Keycloak server with external MySQL database on AWS ECS Fargate in clustered mode](https://jbjerksetmyr.medium.com/how-to-setup-a-keycloak-server-with-external-mysql-database-on-aws-ecs-fargate-in-clustered-mode-9775d01cd317) * [Extending Keycloak: adding API key authentication](http://www.zakariaamine.com/2019-06-14/extending-keycloak) * [Extending Keycloak: using a custom email sender](http://www.zakariaamine.com/2019-07-14/extending-keycloak2) * [Integrating Keycloak and OPA with Confluent](https://goraft.tech/2021/03/17/integrating-keycloak-and-opa-with-confluent.html) * [UMA 2.0 : User Managed Access - how to use it with bash](https://blog.please-open.it/uma/) ## Talks * [JDD2015 - Keycloak Open Source Identity and Access Management Solution](https://www.youtube.com/watch?v=TuEkj25lbd0) * [2015 Using Tomcat and Keycloak in an iFrame](https://www.youtube.com/watch?v=nF_lw7uIxao) * [2016 You've Got Microservices Now Secure Them](https://www.youtube.com/watch?v=SfVhqf-rMQY) * [2016 Keycloak: Open Source Single Sign On - Sebastian Rose - AOE conf (german)](https://www.youtube.com/watch?v=wbKw0Bwyne4) * [2016 Sécuriser ses applications back et front facilement avec Keycloak (french)](https://www.youtube.com/watch?v=bVidgluUcg0) * [2016 Keycloak and Red Hat Mobile Application Platform](https://www.youtube.com/watch?v=4NBgiHM5aOA) * [2016 Easily secure your Front and back applications with KeyCloak](https://www.youtube.com/watch?v=RGp4HUKikts) * [2017 Easily secure your Spring Boot applications with Keycloak - Part 1](https://developers.redhat.com/video/youtube/vpgRTPFDHAw/) * [2017 Easily secure your Spring Boot applications with Keycloak - Part 2](https://developers.redhat.com/video/youtube/O5ePCWON08Y/) * [2018 How to secure your Spring Apps with Keycloak by Thomas Darimont @ Spring I/O 2018](https://www.youtube.com/watch?v=haHFoeWUj0w) * [2018 DevNation Live | A Deep Dive into Keycloak](https://www.youtube.com/watch?v=ZxpY_zZ52kU) * [2018 IDM Europe: WSO2 Identity Server vs. Keycloak (Dmitry Kann)](https://www.youtube.com/watch?v=hnjBiGsEDoU) * [2018 JPrime|Building an effective identity and access management architecture with Keycloak (Sebastien Blanc)](https://www.youtube.com/watch?v=bMqcGkCvUVQ) * [2018 WJAX| Sichere Spring-Anwendungen mit Keycloak](https://www.youtube.com/watch?v=6Z490EMcafs) * [2019 Spring I/O | Secure your Spring Apps with Keycloak](https://www.youtube.com/watch?v=KrOd5wIkqls) * [2019 DevoxxFR | Maitriser sa gestion de l'identité avec Keycloak (L. Benoit, T. Recloux, S. Blanc)](https://www.youtube.com/watch?v=0cziL__0-K8) * [2019 DevConf | Fine - Grained Authorization with Keycloak SSO (Marek Posolda)](https://www.youtube.com/watch?v=yosg4St0iUw) * [2019 VoxxedDays Minsk | Bilding an effective identity and access management architecture with Keycloak (Sebastien Blanc)](https://www.youtube.com/watch?v=RupQWmYhrLA) * [2019 Single-Sign-On Authentifizierung mit dem Keycloak Identity Provider | jambit CoffeeTalk](https://www.youtube.com/watch?v=dnY6ORaFNY8) * [2020 Keycloak Team | Keycloak Pitch](https://www.youtube.com/watch?v=GZTN_VXjoQw) * [2020 Keycloak Team | Keycloak Overview](https://www.youtube.com/watch?v=duawSV69LDI) * [2020 Please-open.it : oauth2 dans le monde des ops (french)](https://www.youtube.com/watch?v=S-9X50QajmY) ## Presentations * [Keycloak 101](https://stevenolen.github.io/kc101-talk/#1) ## Video Playlists * [Keycloak Identity and Access Management by Łukasz Budnik](https://www.youtube.com/playlist?list=PLPZal7ksxNs0mgScrJxrggEayV-TPZ9sA) * [Keycloak by Niko Köbler](https://www.youtube.com/playlist?list=PLNn3plN7ZiaowUvKzKiJjYfWpp86u98iY) * [Keycloak Playlist by hexaDefence](https://youtu.be/35bflT_zxXA) * [Keycloak Tutorial Series by CodeLens](https://www.youtube.com/watch?v=Lr9WeIMtFow&list=PLeGNmkzI56BTjRxNGxUhh4k30FD_gy0pC) ## Clients * [Official Keycloak Node.js Admin Client](https://github.com/keycloak/keycloak-admin-client/) ("Extremely Experimental") * [Keycloak Node.js TypeScript Admin Client by Canner](https://github.com/Canner/keycloak-admin/) * [Keycloak Go Client by Cloudtrust](https://github.com/cloudtrust/keycloak-client) * [Keycloak Nest.js Admin Client by Relevant Fruit](https://github.com/relevantfruit/nestjs-keycloak-admin) ## Community Extensions * [Keycloak Extensions List](https://www.keycloak.org/extensions.html) * [Keycloak Benchmark Project](https://github.com/keycloak/keycloak-benchmark) * [Keycloak: Link IdP Login with User Provider](https://github.com/ohioit/keycloak-link-idp-with-user) * [Client Owner Manager: Control who can edit a client](https://github.com/cyclone-project/cyclone-client-registration) * [Keyloak Proxy written in Go](https://github.com/gambol99/keycloak-proxy) * [Script based ProtocolMapper extension for SAML](https://github.com/cloudtrust/keycloak-client-mappers) * [Realm export REST resource by Cloudtrust](https://github.com/cloudtrust/keycloak-export) * [Keycloak JDBC Ping Setup by moremagic](https://github.com/moremagic/keycloak-jdbc-ping) * [SMS 2 Factor Authentication for Keycloak via AWS SNS](https://github.com/nickpack/keycloak-sms-authenticator-sns) * [SMS 2 Factor Authentiation for Keycloak via SMS by Alliander](https://github.com/Alliander/keycloak-sms-authenticator) * [Identity Provider for vk.com](https://github.com/mrk08/keycloak-vk) * [CAS Protocol Support](https://github.com/Doccrazy/keycloak-protocol-cas) * [WS-FED Support](https://github.com/cloudtrust/keycloak-wsfed) * [Keycloak Discord Support](https://github.com/wadahiro/keycloak-discord) * [Keycloak Login with User Attribute](https://github.com/cnieg/keycloak-login-attribute) * [zonaut/keycloak-extensions](https://github.com/zonaut/keycloak-extensions) * [leroyguillaume/keycloak-bcrypt](https://github.com/leroyguillaume/keycloak-bcrypt) * [SPI Authenticator in Nodejs](https://www.npmjs.com/package/keycloak-rest-authenticator) * [Have I Been Pwned? Keycloak Password Policy](https://github.com/alexashley/keycloak-password-policy-have-i-been-pwned) * [Keycloak Eventlistener for Google Cloud Pub Sub](https://github.com/acesso-io/keycloak-event-listener-gcpubsub) * [Enforcing Password policy based on attributes of User Groups](https://github.com/sayedcsekuet/keycloak-user-group-based-password-policy) * [Verify Email with Link or Code by hokumski](https://github.com/hokumski/keycloak-verifyemailwithcode) * [Role-based Docker registry authentication](https://github.com/lifs-tools/keycloak-docker-role-mapper) * [SCIM for keycloak](https://github.com/Captain-P-Goldfish/scim-for-keycloak) * [Keycloak Kafka Module](https://github.com/SnuK87/keycloak-kafka) ## Integrations * [Official Keycloak Node.js Connect Adapter](https://github.com/keycloak/keycloak-nodejs-connect) * [Keycloak support for Aurelia](https://github.com/waynepennington/aurelia-keycloak) * [Keycloak OAuth2 Auth for PHP](https://github.com/stevenmaguire/oauth2-keycloak) * [Jenkins Keycloak Authentication Plugin](https://github.com/jenkinsci/keycloak-plugin) * [Meteor Keycloak Accounts](https://github.com/mxab/meteor-keycloak) * [HapiJS Keycloak Auth](https://github.com/felixheck/hapi-auth-keycloak) * [zmartzone mod_auth_openidc for Apache 2.x](https://github.com/zmartzone/mod_auth_openidc) * [Duo Security MFA Authentication for Keycloak](https://github.com/mulesoft-labs/keycloak-duo-spi) * [Extension Keycloak facilitant l'utilisation de FranceConnect](https://github.com/InseeFr/Keycloak-FranceConnect) * [Ambassador Keycloak Support](https://www.getambassador.io/reference/idp-support/keycloak/) * [Keycloak Python Client](https://github.com/akhilputhiry/keycloak-client) * [Keycloak Terraform Provider](https://github.com/mrparkers/terraform-provider-keycloak) * [Keycloak ADFS OpenID Connect](https://www.michaelboeynaems.com/keycloak-ADFS-OIDC.html) * [React/NextJS Keycloak Bindings](https://github.com/panz3r/react-keycloak) * [Keycloak Open-Shift integration](https://github.com/keycloak/openshift-integration) * [Keycloak, Kong and Konga setup scripts (local development)](https://github.com/JaouherK/Kong-konga-Keycloak) * [SSO for Keycloak and Nextcloud with SAML](https://stackoverflow.com/questions/48400812/sso-with-saml-keycloak-and-nextcloud) * [Keycloak Connect GraphQL Adapter for Node.js](https://github.com/aerogear/keycloak-connect-graphql) * [python-keycloak](https://github.com/marcospereirampj/python-keycloak) * [Keycloak and PrivacyId3a docker-compose (local development)](https://github.com/JaouherK/keycloak-privacyIdea) * [Nerzal/gocloak Golang Keycloak API Package](https://github.com/Nerzal/gocloak) * [Apple Social Identity Provider for Keycloak](https://github.com/BenjaminFavre/keycloak-apple-social-identity-provider) ## Quick demo Videos * [Keycloak with istio envoy jwt-auth proxy](https://www.youtube.com/watch?v=wscX7JMfuBI) ## Themes * [Community Keycloak Ionic Theme](https://github.com/lfryc/keycloak-ionic-theme) * [A Keycloak theme based on the AdminLTE UI library](https://github.com/MAXIMUS-DeltaWare/adminlte-keycloak-theme) * [GOV.UK Theme](https://github.com/UKHomeOffice/keycloak-theme-govuk) * [Carbon Design](https://github.com/httpsOmkar/carbon-keycloak-theme) * [Modern](https://keycloakthemes.com/themes/modern) * [Adminlte](https://git.uptic.nl/uptic-public-projects/uptic-keyclock-theme-adminlte) * [keycloakify: Create Keycloak themes using React](https://github.com/InseeFrLab/keycloakify) ## Docker * [Official Keycloak Docker Images](https://github.com/jboss-dockerfiles/keycloak) * [Keycloak Examples as Docker Image](https://hub.docker.com/r/jboss/keycloak-examples) * [Keycloak Maven SDK for managing the entire lifecycle of your extensions with Docker](https://github.com/OpenPj/keycloak-docker-quickstart) ## Kubernetes * [Deprecated Keycloak Helm Chart](https://github.com/codecentric/helm-charts/tree/master/charts/keycloak) * [codecentric Keycloak Helm Chart](https://github.com/codecentric/helm-charts/tree/master/charts/keycloak) * [Import / Export Keycloak Config](https://gist.github.com/unguiculus/19618ef57b1863145262191944565c9d) * [keycloak-operator](https://github.com/keycloak/keycloak-operator) ## Tools * [keycloakmigration: Manage your Keycloak configuration with code](https://github.com/klg71/keycloakmigration) * [tool to autogenerate an OpenAPI Specification for Keycloak's Admin API](https://github.com/ccouzens/keycloak-openapi) * [oidc-bash-client](https://github.com/please-openit/oidc-bash-client) * [louketo-proxy (FKA Gatekeeper)](https://github.com/louketo/louketo-proxy) * [keycloak-config-cli: Configuration as Code for Keycloak](https://github.com/adorsys/keycloak-config-cli) * [Keycloak Pulumi](https://github.com/pulumi/pulumi-keycloak) * [Keycloak on AWS](https://github.com/aws-samples/keycloak-on-aws) * [aws-cdk construct library that allows you to create KeyCloak on AWS in TypeScript or Python](https://github.com/aws-samples/cdk-keycloak) * [keycloak-scanner Python CLI](https://github.com/NeuronAddict/keycloak-scanner) ## Deployment Examples * [Keycloak deployment with CDK on AWS with Fargate](https://github.com/aws-samples/cdk-keycloak) ## Example Projects * [Examples from Keycloak Book: Keycloak - Identity and Access Management for Modern Applications](https://github.com/PacktPublishing/Keycloak-Identity-and-Access-Management-for-Modern-Applications) * [Official Examples](https://github.com/keycloak/keycloak/tree/master/examples) * [Keycloak Quickstarts](https://github.com/keycloak/keycloak-quickstarts) * [Drupal 7.0 with Keycloak](https://gist.github.com/thomasdarimont/17fa146c4fb5440d7fc2ee6322ec392d) * [Securing Realm Resources With Custom Roles](https://github.com/dteleguin/custom-admin-roles) * [BeerCloak: a comprehensive KeyCloak extension example](https://github.com/dteleguin/beercloak) * [KeyCloak Extensions: Securing Realm Resources With Custom Roles](https://github.com/dteleguin/custom-admin-roles) * [Red Hat Single Sign-On Labs](https://github.com/RedHatWorkshops/red-hat-sso) * [Spring Boot Keycloak Tutorial](https://github.com/sebastienblanc/spring-boot-keycloak-tutorial) * [Custom Keycloak Docker Image of Computer Science House of RIT](https://github.com/ComputerScienceHouse/keycloak-docker) * [Example of custom password hash SPI for Keycloak](https://github.com/pavelbogomolenko/keycloak-custom-password-hash) * [Example for a custom http-client-provider with Proxy support](https://github.com/xiaoyvr/custom-http-client-provider) * [Monitor your keycloak with prometheus](https://github.com/larscheid-schmitzhermes/keycloak-monitoring-prometheus) * [Custom User Storage Provider .ear with jboss-cli setup](https://github.com/thomasdarimont/keycloak-user-storage-provider-demo) * [Keycloak - Experimental extensions by Stian Thorgersen/Keycloak](https://github.com/stianst/keycloak-experimental) * [Securing Spring Boot Admin & Actuator Endpoints with Keycloak](https://github.com/thomasdarimont/spring-boot-admin-keycloak-example) * [A Keycloak Mobile Implementation using Angular v4 and Ionic v3](https://github.com/tomjackman/keyonic-v2) * [Example for Securing Apps with Keycloak on Kubernetes](https://github.com/stianst/demo-kubernetes) * [Example for Securing AspDotNet Core Apps with Keycloak](https://github.com/thomasdarimont/kc-dnc-demo) * [Example for passing custom URL parameters to a Keycloak theme for dynamic branding](https://github.com/dteleguin/keycloak-dynamic-branding) * [Angular Webapp secured with Keycloak](https://github.com/CodepediaOrg/bookmarks.dev) * [Keycloak Theme Development Kit](https://github.com/anthonny/kit-keycloak-theme) * [Keycloak Clustering examples](https://github.com/ivangfr/keycloak-clustered) * [Keycloak Last Login Date Event Listener](https://github.com/ThoreKr/keycloak-last-login-event-listener) * [Keycloak Project Example (Customizations, Extensions, Configuration)](https://github.com/thomasdarimont/keycloak-project-example) * [Example of adding API Key authentication to Keycloak](https://github.com/zak905/keycloak-api-key-demo) ## Benchmarks * [Gatling based Benchmark by @rvansa](https://github.com/rvansa/keycloak-benchmark) ## Help * [Keycloak on Stackoverflow](https://stackoverflow.com/questions/tagged/keycloak) ## Commercial Offerings * [Red Hat Single Sign-On](https://access.redhat.com/products/red-hat-single-sign-on) * [INTEGSOFT UNIFIED USER CREDENTIALS WITH KEYCLOAK SSO](https://www.integsoft.cz/en/sso.html#what-is-sso) * [JIRA SSO Plugin by codecentric](https://marketplace.atlassian.com/plugins/de.codecentric.atlassian.oidc.jira-oidc-plugin/server/overview) * [Keycloak Competence Center by Inventage AG](https://keycloak.ch/) * [Keycloak as a Service](https://www.cloud-iam.com) ## Miscellaneous * [Find sites using Keycloak with google](https://www.google.de/search?q=inurl%3Aauth+inurl%3Arealms+inurl%3Aprotocol&oq=inurl%3A&client=ubuntu&sourceid=chrome&ie=UTF-8) * [Keycloak Dev Bookmarks](http://bookmarks.dev/search?q=keycloak) - Use the tag [keycloak](https://www.bookmarks.dev/tagged/keycloak) * [Use fail2ban to block brute-force attacks to keycloak server](https://gist.github.com/drmalex07/3eba8b98d0ac4a1e821e8e721b3e1816) * [Pentest-Report Keycloak 8.0 Audit & Pentest 11.2019 by Cure53](https://cure53.de/pentest-report_keycloak.pdf) * [Keycloak - CNCF Security SIG - Self Assesment](https://docs.google.com/document/d/14IIGliP3BWjdS-0wfOk3l_1AU8kyoSiLUzpPImsz4R0/edit#) # License [](https://creativecommons.org/publicdomain/zero/1.0/) To the extent possible under law, [Thomas Darimont](https://github.com/thomasdarimont) has waived all copyright and related or neighboring rights to this work.

tool for decoding and processing wefax. WEFAX (Also known as Weatherfax, HF-FAX, Radiofax, and Weather Facsimile) is a slow scan analog image transmission mode used for the transmission of weather charts and meteorological reports.

The neuro-imaging brain aging chart [niCHART] is a comprehensive solution to analyze standard structural and functional brain MRI data across studies. [niCHART] and the associated pre-processing tools implement computational morphometry, functional signal analysis, quality control, statistical harmonization, data standardization, interactive visual

Collection of docker images, helm charts and other tools needed to build DataLake on Kubernetes.

Handy tool that facilitates turning images of math equations and charts into LaTeX code, quickly and easily!

A Python script for color correction and calibration using OpenCV and a ColorChecker chart. This tool detects a ColorChecker in an image, calibrates the colors, and applies the calibration to images or live video streams.

It's a tool for managing Kubernetes configurations, that supports getting YAMLs from Helm charts and container images.

# Employee Database: A Mystery in Two Parts  ## Background It is a beautiful spring day, and it is two weeks since you have been hired as a new data engineer at Pewlett Hackard. Your first major task is a research project on employees of the corporation from the 1980s and 1990s. All that remain of the database of employees from that period are six CSV files. In this assignment, you will design the tables to hold data in the CSVs, import the CSVs into a SQL database, and answer questions about the data. In other words, you will perform: 1. Data Modeling 2. Data Engineering 3. Data Analysis ## Instructions #### Data Modeling Inspect the CSVs and sketch out an ERD of the tables. Feel free to use a tool like [http://www.quickdatabasediagrams.com](http://www.quickdatabasediagrams.com). #### Data Engineering * Use the information you have to create a table schema for each of the six CSV files. Remember to specify data types, primary keys, foreign keys, and other constraints. * Import each CSV file into the corresponding SQL table. #### Data Analysis Once you have a complete database, do the following: 1. List the following details of each employee: employee number, last name, first name, gender, and salary. 2. List employees who were hired in 1986. 3. List the manager of each department with the following information: department number, department name, the manager's employee number, last name, first name, and start and end employment dates. 4. List the department of each employee with the following information: employee number, last name, first name, and department name. 5. List all employees whose first name is "Hercules" and last names begin with "B." 6. List all employees in the Sales department, including their employee number, last name, first name, and department name. 7. List all employees in the Sales and Development departments, including their employee number, last name, first name, and department name. 8. In descending order, list the frequency count of employee last names, i.e., how many employees share each last name. ## Bonus (Optional) As you examine the data, you are overcome with a creeping suspicion that the dataset is fake. You surmise that your boss handed you spurious data in order to test the data engineering skills of a new employee. To confirm your hunch, you decide to take the following steps to generate a visualization of the data, with which you will confront your boss: 1. Import the SQL database into Pandas. (Yes, you could read the CSVs directly in Pandas, but you are, after all, trying to prove your technical mettle.) This step may require some research. Feel free to use the code below to get started. Be sure to make any necessary modifications for your username, password, host, port, and database name: ```sql from sqlalchemy import create_engine engine = create_engine('postgresql://localhost:5432/<your_db_name>') connection = engine.connect() ``` * Consult [SQLAlchemy documentation](https://docs.sqlalchemy.org/en/latest/core/engines.html#postgresql) for more information. * If using a password, do not upload your password to your GitHub repository. See [https://www.youtube.com/watch?v=2uaTPmNvH0I](https://www.youtube.com/watch?v=2uaTPmNvH0I) and [https://martin-thoma.com/configuration-files-in-python/](https://martin-thoma.com/configuration-files-in-python/) for more information. 2. Create a bar chart of average salary by title. 3. You may also include a technical report in markdown format, in which you outline the data engineering steps taken in the homework assignment. ## Epilogue Evidence in hand, you march into your boss's office and present the visualization. With a sly grin, your boss thanks you for your work. On your way out of the office, you hear the words, "Search your ID number." You look down at your badge to see that your employee ID number is 499942. ## Submission * Create an image file of your ERD. * Create a `.sql` file of your table schemata. * Create a `.sql` file of your queries. * (Optional) Create a Jupyter Notebook of the bonus analysis. * Create and upload a repository with the above files to GitHub and post a link on BootCamp Spot.

The Coal Mining Assessment Tool (CMAT) in Google Earth Engine (GEE) monitors the impacts and reclamation efforts of coal mines in the basin. The tool incorporates Earth observations from Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8 Operational Land Imager (OLI), and utilizes the LandTrendr change detection algorithm to assess land disturbance. CMAT outputs include land disturbance maps and charts showing how land cover, Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and tasseled cap transformations have changed from 1985 to 2018.

Docker image with chart-testing CLI tool for linting and testing Helm charts on GKE or EKS

Tools for building both Docker images and Helm charts and publishing them to an Azure Container Registry

A light version of design explorer meant to display sliders for the inputs and simple images + charts for outputs: http://www.ladybug.tools/design_explorer_lite/

Part I - WeatherPy In this example, you’ll be creating a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, you’ll be utilizing a simple Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities. Your first objective is to build a series of scatter plots to showcase the following relationships: Temperature (F) vs. Latitude Humidity (%) vs. Latitude Cloudiness (%) vs. Latitude Wind Speed (mph) vs. Latitude After each plot add a sentence or too explaining what the code is and analyzing. Your next objective is to run linear regression on each relationship, only this time separating them into Northern Hemisphere (greater than or equal to 0 degrees latitude) and Southern Hemisphere (less than 0 degrees latitude): Northern Hemisphere - Temperature (F) vs. Latitude Southern Hemisphere - Temperature (F) vs. Latitude Northern Hemisphere - Humidity (%) vs. Latitude Southern Hemisphere - Humidity (%) vs. Latitude Northern Hemisphere - Cloudiness (%) vs. Latitude Southern Hemisphere - Cloudiness (%) vs. Latitude Northern Hemisphere - Wind Speed (mph) vs. Latitude Southern Hemisphere - Wind Speed (mph) vs. Latitude After each pair of plots explain what the linear regression is modelling such as any relationships you notice and any other analysis you may have. Your final notebook must: Randomly select at least 500 unique (non-repeat) cities based on latitude and longitude. Perform a weather check on each of the cities using a series of successive API calls. Include a print log of each city as it’s being processed with the city number and city name. Save a CSV of all retrieved data and a PNG image for each scatter plot. Part II - VacationPy Now let’s use your skills in working with weather data to plan future vacations. Use jupyter-gmaps and the Google Places API for this part of the assignment. Note: if you having trouble displaying the maps try running jupyter nbextension enable --py gmaps in your environment and retry. Create a heat map that displays the humidity for every city from the part I of the homework. heatmap Narrow down the DataFrame to find your ideal weather condition. For example: A max temperature lower than 80 degrees but higher than 70. Wind speed less than 10 mph. Zero cloudiness. Drop any rows that don’t contain all three conditions. You want to be sure the weather is ideal. Note: Feel free to adjust to your specifications but be sure to limit the number of rows returned by your API requests to a reasonable number. Using Google Places API to find the first hotel for each city located within 5000 meters of your coordinates. Plot the hotels on top of the humidity heatmap with each pin containing the Hotel Name, City, and Country. hotel map As final considerations: Create a new GitHub repository for this project called API-Challenge (note the kebab-case). Do not add to an existing repo You must complete your analysis using a Jupyter notebook. You must use the Matplotlib or Pandas plotting libraries. For Part I, you must include a written description of three observable trends based on the data. You must use proper labeling of your plots, including aspects like: Plot Titles (with date of analysis) and Axes Labels. For max intensity in the heat map, try setting it to the highest humidity found in the data set. Hints and Considerations The city data you generate is based on random coordinates as well as different query times; as such, your outputs will not be an exact match to the provided starter notebook. You may want to start this assignment by refreshing yourself on the geographic coordinate system. Next, spend the requisite time necessary to study the OpenWeatherMap API. Based on your initial study, you should be able to answer basic questions about the API: Where do you request the API key? Which Weather API in particular will you need? What URL endpoints does it expect? What JSON structure does it respond with? Before you write a line of code, you should be aiming to have a crystal clear understanding of your intended outcome. A starter code for Citipy has been provided. However, if you’re craving an extra challenge, push yourself to learn how it works: citipy Python library. Before you try to incorporate the library into your analysis, start by creating simple test cases outside your main script to confirm that you are using it correctly. Too often, when introduced to a new library, students get bogged down by the most minor of errors – spending hours investigating their entire code – when, in fact, a simple and focused test would have shown their basic utilization of the library was wrong from the start. Don’t let this be you! Part of our expectation in this challenge is that you will use critical thinking skills to understand how and why we’re recommending the tools we are. What is Citipy for? Why would you use it in conjunction with the OpenWeatherMap API? How would you do so? In building your script, pay attention to the cities you are using in your query pool. Are you getting coverage of the full gamut of latitudes and longitudes? Or are you simply choosing 500 cities concentrated in one region of the world? Even if you were a geographic genius, simply rattling 500 cities based on your human selection would create a biased dataset. Be thinking of how you should counter this. (Hint: Consider the full range of latitudes). Once you have computed the linear regression for one chart, the process will be similar for all others. As a bonus, try to create a function that will create these charts based on different parameters. Remember that each coordinate will trigger a separate call to the Google API. If you’re creating your own criteria to plan your vacation, try to reduce the results in your DataFrame to 10 or fewer cities. Lastly, remember – this is a challenging activity. Push yourself! If you complete this task, then you can safely say that you’ve gained a strong mastery of the core foundations of data analytics and it will only go better from here. Good luck!

Docker image that contains kubectl, helm, helm-diff, helmsman, ansible and k3s

A tool generate kubernetes helm chart for one docker image & A tool merge many k8s helm charts into single one

📉 cli tool for extracting chart data from an image

mcli is a tool for pull container images from imagelist and manifests amd charts

A command-line tool to automate the generation of Helm chart override files for redirecting container images to private or local registries.

AI-powered research tool leveraging Gemini’s latest features, including Google Search, URL context, image and YouTube search engines, code execution, and chart generation.

✨ Features: >> - Zero dependencies Python tool for converting Mermaid diagrams to PNG >> - Supports Chinese content with Kroki API >> - Auto-creates organized image folders >> - Smart file naming with chart type detection >> - Batch processing support >> - Comprehensive error handling

It is a beautiful spring day, and it is two weeks since you have been hired as a new data engineer at Pewlett Hackard. Your first major task is a research project on employees of the corporation from the 1980s and 1990s. All that remain of the database of employees from that period are six CSV files. In this assignment, you will design the tables to hold data in the CSVs, import the CSVs into a SQL database, and answer questions about the data. In other words, you will perform: Data Modeling Data Engineering Data Analysis Before You Begin Create a new folder in your homework repository called sql-challenge. Inside your local git repository, create a directory for the SQL challenge. Use a folder name to correspond to the challenge: EmployeeSQL. Add your files to this folder. Push the above changes to GitHub. Instructions Data Modeling Inspect the CSVs and sketch out an ERD of the tables. Feel free to use a tool like http://www.quickdatabasediagrams.com. Data Engineering Use the information you have to create a table schema for each of the six CSV files. Remember to specify data types, primary keys, foreign keys, and other constraints. Import each CSV file into the corresponding SQL table. Data Analysis Once you have a complete database, do the following: List the following details of each employee: employee number, last name, first name, gender, and salary. List employees who were hired in 1986. List the manager of each department with the following information: department number, department name, the manager's employee number, last name, first name, and start and end employment dates. List the department of each employee with the following information: employee number, last name, first name, and department name. List all employees whose first name is "Hercules" and last names begin with "B." List all employees in the Sales department, including their employee number, last name, first name, and department name. List all employees in the Sales and Development departments, including their employee number, last name, first name, and department name. In descending order, list the frequency count of employee last names, i.e., how many employees share each last name. Bonus (Optional) As you examine the data, you are overcome with a creeping suspicion that the dataset is fake. You surmise that your boss handed you spurious data in order to test the data engineering skills of a new employee. To confirm your hunch, you decide to take the following steps to generate a visualization of the data, with which you will confront your boss: Import the SQL database into Pandas. (Yes, you could read the CSVs directly in Pandas, but you are, after all, trying to prove your technical mettle.) This step may require some research. Feel free to use the code below to get started. Be sure to make any necessary modifications for your username, password, host, port, and database name: from sqlalchemy import create_engine engine = create_engine('postgresql://localhost:5432/<your_db_name>') connection = engine.connect() Consult SQLAlchemy documentation for more information. If using a password, do not upload your password to your GitHub repository. See https://www.youtube.com/watch?v=2uaTPmNvH0I and https://martin-thoma.com/configuration-files-in-python/ for more information. Create a histogram to visualize the most common salary ranges for employees. Create a bar chart of average salary by title. Epilogue Evidence in hand, you march into your boss's office and present the visualization. With a sly grin, your boss thanks you for your work. On your way out of the office, you hear the words, "Search your ID number." You look down at your badge to see that your employee ID number is 499942. Submission Create an image file of your ERD. Create a .sql file of your table schemata. Create a .sql file of your queries. (Optional) Create a Jupyter Notebook of the bonus analysis. Create and upload a repository with the above files to GitHub and post a link on BootCamp Spot.

CLI tool for generating Google Chart images

An SVG chart tool for Open WebUI. It renders multiple chart types (line/bar/pie/candlestick/scatter/radar/heatmap and more) from common ECharts / Highcharts / Apex / Chart.js-like specs, uploads the SVG to Open WebUI file storage, and auto-inserts the Markdown image reference into the chat body

Developed an AI-driven tool using the Gemini API to generate SQL queries from natural language inputs. Supports CSV, Excel, images, and direct SQL database connections for seamless querying. Enables non-technical users to interact with databases effortlessly and visualize data through interactive charts.

The Saint John River Atlas is an online system for accessing environmental, biological and social information for the Saint John River, New Brunswick. The site includes interactive and published maps, time series data, scientific reports and publications. The Atlas includes detailed “raw” data, but more importantly, it can present this data in formats relevant to the user community, including tables, statistics, charts, graphs, reports and images. The Atlas also allows end users to download data and information to use in in-house applications. The Saint John River Atlas is not be a series of static maps but rather a dynamic mapping tool allowing users to view, map, and download data of their interest.

## Instructions #### Data Modeling Inspect the CSVs and sketch out an ERD of the tables. Feel free to use a tool like [http://www.quickdatabasediagrams.com](http://www.quickdatabasediagrams.com). #### Data Engineering * Use the information you have to create a table schema for each of the six CSV files. Remember to specify data types, primary keys, foreign keys, and other constraints. * For the primary keys check to see if the column is unique, otherwise create a [composite key](https://en.wikipedia.org/wiki/Compound_key). Which takes to primary keys in order to uniquely identify a row. * Be sure to create tables in the correct order to handle foreign keys. * Import each CSV file into the corresponding SQL table. **Note** be sure to import the data in the same order that the tables were created and account for the headers when importing to avoid errors. #### Data Analysis Once you have a complete database, do the following: 1. List the following details of each employee: employee number, last name, first name, sex, and salary. 2. List first name, last name, and hire date for employees who were hired in 1986. 3. List the manager of each department with the following information: department number, department name, the manager's employee number, last name, first name. 4. List the department of each employee with the following information: employee number, last name, first name, and department name. 5. List first name, last name, and sex for employees whose first name is "Hercules" and last names begin with "B." 6. List all employees in the Sales department, including their employee number, last name, first name, and department name. 7. List all employees in the Sales and Development departments, including their employee number, last name, first name, and department name. 8. In descending order, list the frequency count of employee last names, i.e., how many employees share each last name. ## Bonus (Optional) As you examine the data, you are overcome with a creeping suspicion that the dataset is fake. You surmise that your boss handed you spurious data in order to test the data engineering skills of a new employee. To confirm your hunch, you decide to take the following steps to generate a visualization of the data, with which you will confront your boss: 1. Import the SQL database into Pandas. (Yes, you could read the CSVs directly in Pandas, but you are, after all, trying to prove your technical mettle.) This step may require some research. Feel free to use the code below to get started. Be sure to make any necessary modifications for your username, password, host, port, and database name: ```sql from sqlalchemy import create_engine engine = create_engine('postgresql://localhost:5432/<your_db_name>') connection = engine.connect() ``` * Consult [SQLAlchemy documentation](https://docs.sqlalchemy.org/en/latest/core/engines.html#postgresql) for more information. * If using a password, do not upload your password to your GitHub repository. See [https://www.youtube.com/watch?v=2uaTPmNvH0I](https://www.youtube.com/watch?v=2uaTPmNvH0I) and [https://help.github.com/en/github/using-git/ignoring-files](https://help.github.com/en/github/using-git/ignoring-files) for more information. 2. Create a histogram to visualize the most common salary ranges for employees. 3. Create a bar chart of average salary by title. ## Epilogue Evidence in hand, you march into your boss's office and present the visualization. With a sly grin, your boss thanks you for your work. On your way out of the office, you hear the words, "Search your ID number." You look down at your badge to see that your employee ID number is 499942. ## Submission * Create an image file of your ERD. * Create a `.sql` file of your table schemata. * Create a `.sql` file of your queries. * (Optional) Create a Jupyter Notebook of the bonus analysis. * Create and upload a repository with the above files to GitHub and post a link on BootCamp Spot. * Ensure your repository has regular commits and a thorough README.md file

A simple monitoring tool which is store timestamp and value in file, and make hourly/daily chart images. Using hyperic sigar, jfreechart and quartz scheduling.

PHP wrapper for Google Charts Tools: Image Charts