Immutables allows you to embrace immutablity to tackle complexity and concurrency challenges. To get the benefits of immutability in Java, there's an annotation processor to easily create simple and consistent value objects. You can think of it as Guava's Immutable Collections but for regular objects. It includes support for JSON marshaling, MongoDB repositories, and JAX-RS.
PRUN is a cluster job scheduler and parallel task executor system for Linux/Unix systems. Like other full-featured batch systems, it provides a job queueing mechanism, job scheduling, a priority scheme, resource monitoring, and resource management. PRUN is a simple, easy-to-use, full-featured, stable solution to run short-term or long-term jobs across the cluster.
jdiagnostics is a library of routines for inspecting the state of a JVM and building a support bundle. It makes it easy to diagnose issues with classpaths, resources, serviceloaders, versioning, XML parsers, and so forth. It has no dependencies, and is an essential library to build into any infrastructure application.
gradle-sablecc-plugin is a gradle plugin which creates parsers using SableCC. SableCC supports automatic CST-to-AST transformation, emits all the visitor patterns and analysis helpers you will likely ever need, and is LR, not LL(k). Many example grammars are available for modern languages; the author of this plugin has written dozens.
Bear is a lightweight remote automation tool for Groovy/Java/JVM. It allows you to deploy projects, setup your cluster, and install software to your remote machines. It differs from other existing tools in that it uses a programmatic approach - your deployment is a regular Java class. It also uses static types, chained method calls, FP, and fluent programming techniques.
Apache UIMA DUCC (Distributed UIMA Cluster Computing) is a cluster management system providing tooling, management, and scheduling facilities that automate the scale-out of applications written using the UIMA framework. Core UIMA provides a generalized framework for applications that process unstructured information such as human language, but does not provide a scale-out mechanism. UIMA-AS extends UIMA and provides a scale-out mechanism for distributing UIMA pipelines over a cluster of computing resources, but does not provide job or cluster management of the resources. DUCC extends UIMA-AS by defining a formal job model that closely maps to a standard UIMA pipeline. Around this job model DUCC provides cluster management services to automate the scale-out of UIMA pipelines over computing clusters.