The Experimental Physics and Industrial Control System is a set of software tools, libraries, and applications developed collaboratively and used worldwide to create distributed soft real-time control systems for scientific instruments such as a particle accelerators, telescopes, and other large scientific experiments.
Barcode Studio is designed to quickly create high-quality barcode images. It is commonly used for pre-press requirements, postal bar-coding, desktop publishing applications, mobile tagging, print shops, and general barcode purposes. It supports all linear barcodes (like Code39, 2of5, EAN, UPC, Code39, Code128, and EAN/UCC128), 2D barcodes (like PDF417, QR-Code, Aztec Code, DataMatrix ECC200, and MaxiCode), GS1 DataBar, and HIBC codes. Barcode data can be entered manually or imported from external data sources. Serial numbers are created automatically on demand. It has a built-in quality preview. Single as well as batch barcode creation is supported via the command line or the graphical user interface. Barcodes can be printed directly, copied to the clipboard, generated as image files (BMP, GIF, JPG, TIFF, or PNG) or exported as vector graphics (EPS, EMF, WMF , PDF, or PostScript). The created barcodes are useable immediately: Just insert the barcode graphics into your artwork, database, form, or any document.
Listaller unifies the way you manage software on your Linux system by providing a user-friendly, application-centered software manager GUI. It also provides a software setup package format (the IPK package format), which works on all Linux distributions, as well as tools to make your application binaries work on every Linux distribution. The project has merged with Autopackage some time ago. One of Listaller's strengths is its close integration with AppStream and PackageKit. This means that you will be able to manage Listaller-installed applications with your favorite package-manager, like GNOME-PackageKit, Apper, or even the Ubuntu Software Center. Listaller is primarily designed to be run on Linux distributions, but it could be ported to *BSD.
Tochnog is an implicit/explicit multipurpose finite element analysis program. Tochnog can solve fluid mechanics (Navier Stokes), elasticity and plasticity, heat transfer (conduction-convection-diffusion), hypo-elasticity and hypo-plasticity, seepage analysis, and the wave equation. The program can handle steady state and transient solutions. Interfaces for GiD, OpenDX, gmv, tecplot, matlab, and vtk are available.
HyperGraphDB is a general purpose, extensible, portable, distributed, embeddable data storage mechanism. Designed specifically for artificial intelligence and semantic web projects, it can also be used as an embedded object-oriented database for projects of all sizes. It is a Java-based product built on top of the Berkeley DB storage library. It can be used as a single in-process database bound to a location on the local disk or within a "cloud" of networked database instances communicating and sharing data in a P2P (peer-to-peer) fashion. Key features include storage of generalized hypergraphs, an open, extensible type system, basic query system and graph traversal algorithms, out-of-the-box support for Java object storage, thread-safe transactions, and a P2P framework for data distribution.
JCGO (pronounced as "j-c-go") translates (converts) programs written in Java into platform-independent C code that can be compiled (by third-party tools) into highly-optimized native code for the target platform. JCGO is a powerful solution that enables your desktop, server-side, embedded, mobile, and wireless Java applications to take full advantage of the underlying hardware. In addition, JCGO makes your programs, when compiled to native code, as hard to reverse engineer as if they were written in C/C++. The JCGO translator uses some optimization algorithms that allow, together with optimizations performed by a C compiler, the resulting executable code to reach better performance compared with the traditional Java implementations (based on the Just-In-Time technology). The produced executable does not contain nor require a Java Virtual Machine to execute, so its resource requirements are smaller than that required by a typical Java VM. This also simplifies the process of deployment and distribution of an application.