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2019-demo4-optaplanner

OptaPlanner part of the Red Hat Summit 2019 Keynote Demo

agnosticd

Ansible Deployer for multiple Cloud Deployers

anadix

Tool for analyzing web pages compliance with Section508

appformer

A web platform to rapidly build forms for data management and business automation.

arquillian-extension-drone

Arquillian Drone Extension

arquillian-graphene

Robust Functional Tests leveraging WebDriver with flavour of sexy AJAX-ready API

arquillian-selenium-bom

Selenium Dependency Management

asciidoctor.org

:globe_with_meridians: Asciidoctor project site. Composed in AsciiDoc. Baked with Awestruct.

asciidoctorsemanticcolors

Demonstrates use of docinfo file

assertj-core

AssertJ is a library of assertions similar to fest-assert but providing a richer set of assertions.

autopref

autostring

Build Java object string representations in a declarative way.

benchmarks

component-operator

Kubernetes Operator able to simplify the deployment of an application (Spring Boot, ...) using a Custom Resource - Component

crc

Red Hat CodeReady Containers is a tool that manages a local OpenShift 4.x cluster optimized for testing and development purposes

demo-optaplanner-example

do101-apps

drlx-parser

Java 9 Parser and Abstract Syntax Tree for Java –

drools

Drools Expert is the rule engine and Drools Fusion does complex event processing (CEP).

drools-cloudevents

drools-lsp

drools-reproducer

drools-wb

Drools Workbench is the web application and repository to govern Drools assets.

drools-website

The awestruct sources for the website http://www.drools.org and the presentation sources.

droolsjbpm-build-bootstrap

The build bootstrap contains the parent pom, guidelines and scripts for Drools and jBPM.

droolsjbpm-integration

Drools and jBPM integration with seam, spring, camel, ...

droolsjbpm-knowledge

The common API for Drools and jBPM

droolsjbpm-tools

Maven, ant, eclipse, ... plugins and support for Drools, jBPM and Guvnor functionality

droolsml

Drools ML integration

emla

Explainable machine learning via argumentation