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A scalable, concurrent, in-memory Key Value (KV) map. Oak implements a concurrent Key-Value map that can keep all keys and values off-heap. This enables working with bigger heap sizes than JVM's managed heap. OakMap implements an API similar to the industry standard Java8 ConcurrentNavigableMap API. It provides strong (atomic) semantics for read, write, and read-modify-write, as well as (non-atomic) range query (scan) operations, both forward and backward. OakMap is optimized for big keys and values, in particular, for incremental maintenance of objects (update in-place). It is faster and scales better with additional CPU cores than the popular Java ConcurrentNavigableMap ConcurrentSkipListMap

This is client side library for forker, and the one you most likely want to use in your own applications. It provides the ProcessBuilder replacement, ForkerBuilder, as well the helpers in OSCommand. ForkerBuilder is capable of launching processes using non-blocking I/O or attached to a PTY. It has many additional features not available in the standard process builder including permission elevation, daemonize, processor affinity and more. Parts of the non-blocking API are based on NuProcess (https://github.com/brettwooldridge/NuProcess)

Rule Learner is an open source Java library for learning business rules from historical data. It supports supervised Machine Learning by incorporating well-known algorithms such as RIPPER and C4.5 provided by open source tools such as Weka. Rule Learner is implemented as a Machine Learning component of OpenRules Decision Manager. It allows business analysts to place their historical data in simple Excel tables and to automatically discover business rules that find certain pattern in this data. The generated rules are human readable and presented in Excel format executable by OpenRules Decision Manager.

Samply.Common.MDRFaces is a Java Server Faces library which eases the user interface design of web applications where the respective data model relies on well defined data elements. Especially in case of systems for electronic data capturing, where the necessary data model is not known beforehand and can even vary over time, the user interface has to be easily adjustable. This often means the user instead of the developer designs the various forms for data entry and therefore an easy to use mechanism has to be provided. By using Samply.MDRFaces the developer can focus on the implementation of that mechanism, e.g. some editor component, but does not have to cope with the visualization of every single data element as for that is taken care of automatically.

"CLIF is Load Injection Framework": open performance testing. Submit light or massive traffic to your application/service under test, and get response time measurements as well as computing and networking resources usage measurements. Support for large scale distributed load injection (up to +1000 load injectors) with unlimited number of virtual users. Multiple protocols and probes available, extendible through Java programming to generate traffic with arbitrary protocols and to measure arbitrary resources usage. Integration to Eclipse and Jenkins.

This small library provides an optimized solution to a problem where tasks for a particular key need to be processed sequentially as they arrive. This kind of problem can be solved by a SingleThreadExecutor, however it is not efficient. The issue is that the tasks for unrelated keys are not being processed in parallel, instead they are put into a queue common to all keys and wait for the single thread to execute them. This library allows them to be executed concurrently. Moreover this library works well in a situation where all the possible keys and their number is not known upfront.