Free x plane software for linux

X Portal project is a powerful CMS (content management system) which can handle multiple language files.
English and Hungarian languages are included in the basic package. The engine was taken from phpnuke-textportal.
Enhancements:
- autoHALT automatically logs out when the browser is closed.
- Security was enhanced with lots of new security tools.

x project is a tool for Unix-like systems that takes all the hassle out of extracting archives. Heres an example of how you use it:
$ x linux-2.6.10.tar.bz2
Thats basically the same thing as:
$ tar -jxf linux-2.6.10.tar.bz2
So why use x?
Main features:
- Handles many archive types: You only need to remember one simple command to extract tar, zip, cpio, deb, and rpm files. If theyre compressed, x will take care of that for you, too.
- Keeps everything organized: x will make sure that archives are extracted into their own dedicated directories.
- Sane permissions: x makes sure you can read and write all the files you just extracted, while leaving the rest of the permissions intact.
- Recursive extraction: x can find archives inside the archive and extract those too.

PyMOlyze project can analyze the results of quantum chemistry (DFT) calculations. Gaussian 03 and Jaguar 6.0 files are supported.
The following analyses are available for user-defined molecular fragments:
- Mulliken Population Analysis (MPA)
- C-squared Population Analysis (SCPA)
- Density of States (DOS) plots
- Overlap Population Analysis
- Overlap Population DOS
PyMOlyze was inspired by AOMix, which is a console-based, Windows-only program that has features including (and in addition to) those listed above. I wrote PyMOlyze because I wanted a user-friendly Linux program to do MPA for each molecular orbital of Gaussian calculations. If PyMOlyze doesnt address your needs, check out AOMix (or shoot me an email and well talk).
Python, the python extensions to Qt and Qwt (PyQt and PyQwt), and some C++ functions (for speed optimizations) were used to create PyMOlyze; therefore it should run on pretty much any modern platform with minor modifications. It has only been tested on Windows XP, Windows 2000, and Gentoo Linux, but there is no reason for it not to be supported on any platform with python, PyQt, and PyQwt available.
Enhancements:
- OpenGL 3D rendering
- Atom is highlighted in 3D when choosing an atom/orbital for population analysis
- Observe structural changes during an optimization
- Cartesian coordinate editor (any step of the optimization)
- Functions for translating or rotating a molecule
- Center molecule on an atom
- Rotate molecule so that two atoms are along an axis
- Rotate moelcule so that three atoms lie in a plane
- Save structures as XYZ, PDB, internal coordinates, etc.
- Charge Decomposition Analysis (using the method developed by Frenking et al.)
- Fragment Analysis to study bonding interactions by determining contributions of fragment MOs to molecular MOs

X-Files is a graphical file management program for Unix/X-Window environment. It was inspired by the Amiga program DirWork.

This application differs slightly from the main stream file managers in that it has always only one window. On top (or bottom) of the window you have ActionbuttonsTM -area. Other main areas are the two directory listings for file related actions. You can use quick pop-up menu for basic operations. File extensions can be configured to launch any program you desire for that file.
The appearance and functionality can be fully configured according to your taste using the built-in editors.

Tested on: Intel Linux, DEC Alpha, SGI, HP-UX, Solaris
(Should work on any Unix-machine running Tcl/Tk.)

PDL::Transform is a Perl module that coordinate transforms, image warping, and N-D functions.

SYNOPSIS

use PDL::Transform;
my $t = new PDL::Transform:: ( )

$out = $t->apply($in) # Apply transform to some N-vectors (Transform method)
$out = $in->apply($t) # Apply transform to some N-vectors (PDL method)

$im1 = $t->map($im); # Transform image coordinates (Transform method)
$im1 = $im->map($t); # Transform image coordinates (PDL method)

$t2 = $t->compose($t1); # compose two transforms
$t2 = $t x $t1; # compose two transforms (by analogy to matrix mult.)

$t3 = $t2->inverse(); # invert a transform
$t3 = !$t2; # invert a transform (by analogy to logical "not")

PDL::Transform is a convenient way to represent coordinate transformations and resample images. It embodies functions mapping R^N -> R^M, both with and without inverses. Provision exists for parametrizing functions, and for composing them. You can use this part of the Transform object to keep track of arbitrary functions mapping R^N -> R^M with or without inverses.

The simplest way to use a Transform object is to transform vector data between coordinate systems. The apply method accepts a PDL whose 0th dimension is coordinate index (all other dimensions are threaded over) and transforms the vectors into the new coordinate system.

Transform also includes image resampling, via the map method. You define a coordinate transform using a Transform object, then use it to remap an image PDL. The output is a remapped, resampled image.

You can define and compose several transformations, then apply them all at once to an image. The image is interpolated only once, when all the composed transformations are applied.

In keeping with standard practice, but somewhat counterintuitively, the map engine uses the inverse transform to map coordinates FROM the destination dataspace (or image plane) TO the source dataspace; hence PDL::Transform keeps track of both the forward and inverse transform.

For terseness and convenience, most of the constructors are exported into the current package with the name t_ , so the following (for example) are synonyms:

$t = new PDL::Transform::Radial(); # Long way

$t = t_radial(); # Short way

Several math operators are overloaded, so that you can compose and invert functions with expression syntax instead of method syntax (see below).

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.

X-Light is a clean KDE theme (style).