Open Source Groovy Front-Ends

Cross-platform data acquisition and visualization software with an embedded HTTP-server, binary protocol parsing library, protocol emulation server, remote secure administration server, embedded Groovy scripting facilities and HMI (SCADA) visualization module.

CLADlims is a wed based laboratory information and data management system for animals and their measurement records. It is designed to track the weight and tumour growth of the animals, visualize the data, compare data, inform the user for any alarming measurements as well as keep any other data related to animals, cages and experiments. Users can submit the data directly from the measuring facilities to the database using a mobile device (tablet or phone) or any computer with a modern web browser. Multiple tumours per animal can be tracked. With CLADlims you can improve efficiency by getting rid of the text files or spreadsheets and save time and money.

Reverse engineer a legacy database to a Grails domain model. A java GUI will be be available from which database tables can be selected and mapped to grails domain objects.

The Moqui Ecosystem is a series of open source components for enterprise applications all built on a common framework (Moqui Framework) written in Java and Groovy. The components include tools that plug in to the framework, business artifacts, and applications. Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable screens (SimpleScreens), and integration components for EDI, Authorize.NET, and Shippo. There are 2 main applications in the ecosystem: POP Commerce ERP and eCommerce for retail and wholesale, and HiveMind Project Management and ERP for service organizations. NOTE: the code repositories for Moqui Ecosystem are hosted on GitHub at: https://github.com/moqui

UI To the Hadoop HBase Project

Jdbsee CLI supports running SQL queries from command line in batch or interactive mode. Database connection settings and related credentials can be persisted for later reuse. The JDBC drivers can be automatically downloaded from maven central repo or loaded from local jars. For more info see https://github.com/davidecavestro/jdbsee/blob/master/docs/index.adoc.