Open Source Groovy Data Management Systems

This repository provides a Docker-powered CI tools demo environment via a single command with docker-compose. It assembles popular CI/CD components—Jenkins, SonarQube, Nexus, GitLab, and Selenium Grid—each running in separate containers, facilitating self-contained integration testing or workshops. It’s not intended for production but serves as a practical demo or launchpad for containerized CI stacks. Each tool runs in an isolated container for modular experimentation. Maintained primarily for workshops and proofs of concept, not for production use. Includes legacy documentation and scripting for Mac users and older setups.

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.

An Expert Search System for Enterprise Search based on the Information Retrieval Vector Space Model. Our model builds a weighted profile for each candidate and keeps all the documents, thus allowing to retrieve both people and documents together.

P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with Java classes. GETL taken into account when developing ideas and following requirements: 1. The simpler the class hierarchy, the easier solution; 2. The data structures tend to change over time, or not be known in advance, working with them must be maintained; 3. All routine work ETL should be automated wherever possible; 4. Compiling the code on the fly bail speed and reserve for the optimization; 5. Sophisticated class hierarchy guarantee easy connection of other open source solutions.

The Gradle Docker Compose Plugin by Avast integrates Docker Compose lifecycle management into Gradle builds. It allows developers to define and manage Docker containers required for integration testing or local development directly from their Gradle build scripts. This plugin automates the startup and shutdown of services, supports container health checks, and enables tight integration between application code and containerized services, enhancing reproducibility and automation in development pipelines.

A Gradle plugin that adds a taskTree task to your build. Running it prints out a hierarchical, easy‑to‑read task dependency tree, helping you visualize the build execution order.

Marid is a cross-platform data acquisition and visualization software intended to build complex and hierarchical data acquisition systems. The base concepts of its architecture include: * Graphical deploy configuration builders * Powerful Groovy scripting language * Embedded database ( H2 , HSQLDB) to store data * Cross-platform design (write once, run anywhere) * Embedded GUI-configurable binary/ascii device protocol parser/generator * Deploy manager to deploy firmwares to remote controllers/servers via secure channel * Embedded web-sever * Dynamically linked plugins available from Nexus Repository * Remote monitoring tools * Modular Marid IDE to manage them all

Maui is the Maltcms User Interface, a rich client application for Chromatography-Mass Spectrometry and related research areas.

Metl is a simple, web-based ETL tool that allows for data integrations including database, files, messaging, and web services. Supports RDBMS, SOAP, HTTP, FTP, SFTP, XML, FIXLEN, CSV, JSON, ZIP, and more. Metl implements scheduled integration tasks without the need for custom coding or heavy infrastructure. It can be deployed in the cloud or in an internal data center, and it was built to allow developers to extend it with custom components.

Nest Manager is a community SmartThings solution that integrates Nest devices—thermostats, Protects, and cameras—into the SmartThings ecosystem via a comprehensive SmartApp and device handlers. It offers a unified dashboard, rich device tiles, and automation hooks so users can monitor and control temperature, modes, and alerts alongside other smart home devices. The project emphasizes usability with guided setup flows, status summaries, and in-app diagnostics to help troubleshoot connectivity or permission issues. It exposes detailed attributes and commands, enabling powerful rules and scenes that coordinate Nest with sensors, presence, and schedules in SmartThings. Historical and environmental data can be surfaced to support energy-aware automations and notifications. For advanced users, it provides granular preferences to tune polling, event verbosity, and safety behaviors, turning SmartThings into a capable hub for Nest-centric homes.

In 2015, the software company Qosqo who supported the development of Quipu decided to abandon the open source project as it was. The latest open source release (version 2.x) is what you'll find here. The development moved on in closed source at http://www.datawarehousemanagement.org, currently (March 2016) at version 3.2. The open source description: Quipu is an open source data warehouse generation system that creates and monitors data warehouses. With Quipu you can implement a data warehouse much quicker and easier.

SCaVis is an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Elements of symbolic computations using Octave/Matlab scripting are supported. The project was migrated to DataMelt.

A basic ray tracer written in the Scala language. Features includes photon mapping and a frontend written in Groovy. Planed features are volumetric lighting and shadow photons.

VarPlan is a web application to visualize and manage variants as tree like graph view. The approach is to keep the overview on hundreds of variants with their meta informations.

Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.