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Box is an add-on framework for Java applications that performs asynchronous gathering of source data with subsequent processing or transformation of that data into output JSON documents and exposing those documents through a web API. Box excels at maintaining existing documents including keeping them up-to-date in real time and deleting them when required. Box supports aggregating data from multiple sources as well as splitting data into multiple documents. How documents are processed is left up to each application. The web api makes the documents available by ID or by harvesting all documents. Harvests can be filtered using facets and documents can be pared down by requesting only needed fields.

JARTs are Java-based Asynchronous Real Time sockets. JART uses JNA to build a pure Java TCP/IP stack upon Netmap. It is implemented in imperative style (no TCP state machine) using asynchronous programming with the help of ea-async. JART runs on both Linux (with the proper Netmap kernel module) and FreeBSD with Netmap enabled. FreeBSD 12.1+ has Netmap in the kernel by default so it works "out of the box". While JART has proven fairly robust in limited testing, it is still a work-in-progress and may not be suitable for production use. Pull requests welcome!

Box is an add-on framework for Java EE applications that performs asynchronous gathering of source data with subsequent processing or transformation of that data into output JSON documents and exposing those documents through a web API. Box excels at maintaining existing documents including keeping them up-to-date in real time and deleting them when required. Box supports aggregating data from multiple sources as well as splitting data into multiple documents. How documents are processed is left up to each application. The web api makes the documents available by ID or by harvesting all documents. Harvests can be filtered using facets and documents can be pared down by requesting only needed fields.

Asynchronous publish-subscribe communication library. Features: 1. Listeners are stored using WeakReferences to prevent memory leaks when they are not unsubscribed. 2. Uses fork-join framework for concurrent event delivery. 3. Publish methods returns collection of Futures that represent event notifications. 4. Supports ordered publishing: guaranteed to notify of the events in order they were published. 5. Provides EventSource and EventService interfaces for better integration with IOC containers and alternative implementations.

Weighing less than 50KB, Rupy is probably the smallest Java NIO application server in the world. Rupy is inherently non-blocking asynchronous, which makes it the ideal candidate for high concurrency real-time applications pushing dynamic data. Tested with acme, rupy performs on average ~1500 requests per second. To put that figure in perspective; acme doesn't use keep-alive, so that means 1500 unique TCP connections serving dynamic content per second! Thanks to NIO and an event queue to avoid selector trashing, this figure degrades gracefully under high concurrency.