Castle Game Engine is a cross-platform 3D game engine written in Object Pascal. It includes a flexible system of 3D objects, with out-of-the-box levels, items, intelligent creatures, and more. Rendering and processing of 3D models in X3D, VRML, Collada, and other formats is implemented. Many graphic effects are available, including shadows, bump mapping, shaders, mirrors, and screen effects.
Chips is a Python library for designing hardware devices that provides a high-level device modelling language. Native simulations integrate with Python so you can use Python extension modules such as Scipy, Numpy, Matplotlib, and PIL to provide a rich verification environment. Device models can be automatically translated into synthesizable VHDL, and highly optimized soft-processors are generated for an efficient implementation. A plugin mechanism is provided so that additional code generators can be added. C++ and Graphviz plugins are provided. Existing VHDL IP can be imported, and seamless co-simulation of C++ and VHDL outputs is is supported.
The Clacks Framework enables implementators to abstractly manage infrastructure entities, such as users, groups, machines and structure items. These are freely defineable and mappable to various backends like LDAP or MongoDB. Additionally it can handle joined clients, collect inventory data, and manage these clients in various ways. All information, API, and events are exposed on an AMQP message bus, and can be used by shell scripts, Web GUIs, etc.
Cloonix is a Linux router and host simulation platform. It fully encapsulates application, host, and network l2 and l3 into a relatively easy-to-use simulation GUI. Network delay and loss characteristics can be configured per link. It provides support for running kvm or UML virtual machines configured into an arbitrary complex network configuration. It is possible to run a 12 router UML simulation on a small x86 host (a P4 with 512 MB RAM). 32- and 64-bit KVM machines are provided.
The CloverETL Profiler, software for data profiling, works to examine data in existing data sources and collect statistical information about said data. Through this process, the profiler eliminates the guesswork in analysis, revealing an understanding of what data actually exists and what needs to be improved. Part of the CloverETL Data Integration family, the Profiler is an added tool to the enhanced toolset. Whether employed as a standalone job or part of a greater project, the CloverETL Profiler, as named, operates with the same Engine as CloverETL, offering high performance, speed, and easy deployment in a data environment.