GT.M is a high end platform for developing transaction processing database applications. Individual database files in the terabyte range are supported; a logical database can consist of many files. It provides full support for ACID transactions using a Software Transaction Memory (STM) programming model and optimistic concurrency control. The GT.M data model is hierarchical associative memory (i.e. multi-dimensional arrays) that imposes no restriction on the data types of the indexes or content, nor any restriction on the schema is that imposed by the application. Such databases are also referred to as "document oriented", "schemaless", or "schema-free".
PASAP runs in the background, checking whether a stream exists, and, if it does, plays it. It was originally written to play back audio provided by MPD in remotely networked locations, but it also allows consumer-grade HD decoders (WDTV) to automatically play back audio/video streams from an HTTP address.
HOMER is a robust, carrier-grade, scalable SIP capturing system and monitoring application with hEP, IP Proto4 (IPIP) encapsulation, and port mirroring/monitoring support right out of the box, ready to process and store large amounts of signaling with instant searches, end-to-end analysis, and drill-down capabilities for ITSPs, VoIP providers, and trunk suppliers using SIP signaling.
Kaltura Community Edition is a self-hosted version of the Kaltura video platform, developed through the combined efforts of Kaltura and its worldwide developer community. You can use it to run a live online video service or as a development environment framework for developing Kaltura-based applications and extensions. You can access the Kaltura API Suite for enabling development of diverse online video solutions, integrations, and extensions, deploy and integrate Kaltura's video platform within your own infrastructure or preferred cloud service provider, integrate with Kaltura's widgets, applications, and CMS/LMS extensions, and integrate with the CDN of your choice for content delivery.
DSPAM is a server-side statistical anti-spam agent for Unix email servers. It masquerades as the email server's local delivery agent and effectively filters spam using a combination of de-obfuscation techniques, specialized algorithms, and statistical analysis. The result is an administratively maintenance-free, self-learning anti-spam tool. DSPAM has yielded real-world success rates beyond 99.9% accuracy with less than a 0.01% chance of false positives.