Free 2.6.0 software for linux

OnTV project is a GNOME Applet that can monitor current and upcoming TV programs.
OnTV is a GNOME Applet written in Python using PyGTK, it uses XMLTV files to monitor current and upcoming TV programs.
Main features:
- Program descriptions as tooltips.
- Remaining time of/until current/upcoming programs.
- Preferences dialog for selecting what channels to monitor and more.

LablGTK is a GTK+ bindings for Objective Caml.

LablGTK is an OCaml library wrapping the GTK+ API. It uses the rich type system of Objective Caml to provide a strongly typed, yet very comfortable, object-oriented interface to GTK+.

It also has support for libgnomecanvas, libpanel, librsvg, GtkGLArea and the Druid widget in libgnomeui.

It is still under development, but already fully functional. All widgets (but one) are available, with almost all their methods. The GLArea widget is also supported in combination with LablGL. LibGlade and GdkPixbuf support is also included for both versions. LablGTK2 adds support for gnomecanvas, librsvg and libpanel Many examples are provided.

Objective Caml threads are supported, including for the toplevel, which allows for interactive use of the library.

ParaView project is an application designed with the need to visualize large data sets in mind. The goals of the ParaView project include the following:
- Develop an open-source, multi-platform visualization application.
- Support distributed computation models to process large data sets.
- Create an open, flexible, and intuitive user interface.
- Develop an extensible architecture based on open standards.
ParaView runs on distributed and shared memory parallel as well as single processor systems and has been succesfully tested on Windows, Linux and various Unix workstations and clusters. Under the hood, ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using a unique blend of Tcl/Tk and C++. Please go here for a detailed list of features.
ParaView was created by Kitware in conjunction with Jim Ahrens of the Advanced Computing Laboratory at Los Alamos National Laboratory (LANL). Contributors and developers of ParaView currently include: Kitware, LANL, Sandia National Laboratories, and Army Research Laboratory. ParaView is funded by the US Department of Energy ASCI Views program as part of a three-year contract awarded to Kitware, Inc. by a consortium of three National Labs - Los Alamos, Sandia, and Livermore. The goal of the project is to develop scalable parallel processing tools with an emphasis on distributed memory implementations. The project includes parallel algorithms, infrastructure, I/O, support, and display devices. One significant feature of the contract is that all software developed is to be delivered open source. Hence ParaView is available as an open-source system.
Main features:
- Handles structured (uniform rectilinear, non-uniform rectilinear, and curvilinear grids), unstructured, polygonal and image data.
- All processing operations (filters) produce datasets. This allows the user to either further process or save as a data file the result of every operation. For example, the user can extract a cut surface, reduce the number of points on this surface by masking, and apply glyphs (for example, vector arrows) to the result.
- Contours and isosurfaces can be extracted from all data types using scalars or vector components. The results can be colored by any other variable or processed further. When possible, structured data contours/isosurfaces are extracted with fast and efficient algorithms which make use of the special data layout.
- Vectors fields can be inspected by applying glyphs (arrows, cones, lines, spheres, and various 2D glyphs) to the points in a dataset. The glyphs can be scaled by scalars, vector component or vector magnitude and can be oriented using a vector field.
- A sub-region of a dataset can be extracted by cutting or clipping with an arbitrary plane (all data types), specifying a threshold criteria to exclude cells (all data types) and/or specifying a VOI (volume of interest - structured data types only)
- Streamlines can be generated using constant step or adaptive integrators. The results can be displayed as points, lines, tubes, ribbons, etc., and can be processed by a multitude of filters.
- The points in a dataset can be warped (displaced) with scalars (given a user defined displacement vector) or with vectors (unavailable for non-linear rectilinear grids).
- With the array calculator, new variables can be computed using existing point or cell field arrays. A multitude of scalar and vector operations are supported.
- Data can be probed at a point or along a line. The results are displayed either graphically or as text and can be exported for further analysis.
- ParaView provides many other data sources and filters by default (edge extraction, surface extraction, reflection, decimation, extrusion, smoothing...) and any VTK filter can be added by providing a simple XML description (VTK provides hundreds of sources and filters, see VTK documentation for a complete list).
Enhancements:
- This release adds parallel uniform rectilinear grid volume rendering (vtkImageData).
- It introduces new algorithms for parallel unstructured grid volume rendering.
- Support for hardware accelerated offscreen rendering using OpenGL framebuffers.
- Improved multi-block support.
- Improved AMR support.
- Animation saving with ffmpeg.
- Filters have been added for FLUENT, OpenFOAM, MFIX, LSDyna, and AcuSolve.
- A gradient filter for unstructured data.
- Many other enhancements and bugfixes.

Scala is a modern multi-paradigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way.
Scala smoothly integrates features of object-oriented and functional languages including mixins, algebraic datatypes with pattern matching, genericity, and more.
It is well integrated with Java and .NET: the Scala compiler produces standard Java class files or .NET assemblies, and Java/.NET libraries and frameworks can be used without glue code or additional declarations.
Scala is a pure object-oriented language in the sense that every value is an object. Types and behavior of objects are described by classes and traits. Class abstractions are extended by subclassing and a flexible mixin-based composition mechanism as a clean replacement for multiple inheritance.
Whats New in 2.6.0 RC1 Development Release:
- This version introduces some language changes (existential types, lazy values, structural types, etc.) and fixes many bugs.

Americas Army is one of the five most popular action games played online. It provides players with the most authentic military experience available, from exploring the development of Soldiers in individual and collective training to their deployment in simulated missions in the War on Terror.
Americas Army: Special Forces is the follow-up to Americas Army: Operations, which was released on July 4, 2002.
In Americas Army: Special Forces, players attempt to earn Green Beret status by completing individual and collective training missions drawn from the Special Forces Assignment and Selection (SFAS) process.
Players who complete the SFAS process have the opportunity to take on elite Special Forces roles and are qualified to play in multiplayer missions with units ranging from the elite 82d Airborne Division to the 75th Ranger Regiment.
Includes the complete game Americas Army: Operations.
Main features:
- Authentic U.S. Army experience Realistic depiction of the values, units, equipment and career opportunities that make the Army the worlds premier land force continually updated to incorporate new occupations, units, technologies and adventures.
- Realistic roles Including Weapons Specialist (18B), Intelligence (18F), Engineer (18C), Communications (18E) and Combat Medic (18D).
- Challenging Green Beret training Complete training missions drawn from the SFAS process at Fort Bragg. Successfully complete SFAS and advance to Special Forces Qualification Course (Q-Course) missions to explore new Special Forces roles.
- Intense Special Forces action Intense Special Forces action Experience multiplayer missions in simulated combat environments. Take part in missions that span the capabilities of a Special Forces detachment, including unconventional warfare, direct action, surveillance and reconnaissance and Combat Search and Rescue.
- Detailed Special Forces equipment and military hardware Building on the equipment available in Americas Army: Operations, Americas Army: Special Forces adds the M4 Carbine featuring the Picatinny rail mod system for attaching laser-aiming devices and sighting systems; the MP5SD6 Remington 870 shotgun for forced entry; the AT4, a shoulder-fired anti-tank rocket and the BDM, a shoulder-fired bunker demolition munition.
- Accurate Soldier behavior Players are bound by the laws of land warfare, Army values (honor, duty and integrity) and realistic rules of engagement as they navigate challenges in teamwork-based multiplayer force vs. force operations. Mission accomplishment standings are evaluated based on team effort and adherence to a set of values and norms of conduct.

mcrypt is intended to be a replacement of the old unix crypt under the GNU General Public License. Unix Crypt was a popular file encryption program in unix boxes. mcrypt was based on the enigma encryption algorithm but it was considerable trivialized.
Since this was not adequate, even for individual privacy needs, I decided to create a similar program using some modern block encryption algorithms. Mcrypt also has a compatibility mode with unix crypt(1) and with solaris des. It supports all the algorithms and modes found in libmcrypt and it is very extendable.
At the time writing this, it supports the algorithms: BLOWFISH, TWOFISH, DES, TripleDES, 3-WAY, SAFER, LOKI97, GOST, RC2, MARS, RIJNDAEL, SERPENT, CAST, ARCFOUR and WAKE.
Block algorithms are implemented in modes: CFB, CBC, CTR, ECB, OFB (8 bit and n bit, where n is the size of the algorithms block length). For a brief description of the algorithms and the modes look at the mcrypt manpage (this may be out of date). In mcrypt it is on the user to decide which algorithm he considers best for encrypting his data.
Since mcrypt 2.6.0, the OpenPGP (RFC2440) encrypted file format is supported.
Mcrypt should work fine in all unix systems. It may work (probably with changes) in other non-unix systems. Mcrypt 2.6.x can also been ported to Win32 using the Cygwin compiler
Enhancements:
- Added all of the patches on Sourceforge, plus those included by Red Hats Fedora Extras.