H2O has recently released its steam AI engine , a fully open source engine that support the management and deployment of machine learning models. Both H2O on R and H2O steam are easy to set up and use. And both complement each other perfectly.
A very simple example
Use H2O on R to create some predictive models. Well, due to lack of inspiration I just used the iris set to create some binary classifiers.
Once these models are trained, they are available for use in the H2O steam engine. A nice web interface allows you to set up a project in H2O steam to manage and display summary information of the models.