Debian Science Viewing packages

Ця програма надає графічний інтерфейс для наукового аналізу точкових даних з вагами (x,y,z, значення). Це в першу чергу застосування, що використовують методи атомної томографії, але може виявитися корисним і для інших застосувань.

camv-rnd is a modular EDA (mainly PCB) CAM file format viewer that supports gerber, excellon and g-code. The GUI features zoom, pan and measurements on multiple layers from multiple files.

„ctioga2“ — програма побудови графіків в дусі „gnuplot“. Її можна використовувати або безпосередньо з командного рядка, або складаючи командні файли. Вона створює PDF-файли видавничої якості. Заснована на бібліотеці графіки Tioga.

„ctioga2“ — це повністю переписана „ctioga“ і розрахована повну її заміну в майбутньому.

Гнучкий, орієнтований на командний рядок зовнішній інтерфейс для Gnuplot. Створює графіки з даних, що подаються на STDIN або файлу, поданого через командний рядок. Підтримуються різні подання даних, як сталий вивід, так і потокове відображення живих даних.

Fityk is a flexible and portable program for nonlinear fitting of analytical functions (especially peak-shaped) to data (usually experimental data). In other words, for nonlinear peak separation and analysis.

It was developed for analyzing diffraction patterns, but can be also used in other fields, since concepts and operations specific for crystallography are separated from the rest of the program.

Fityk offers various nonlinear fitting methods, subtracting background, calibrating data, easy placement of peaks and changing peak parameters, automation of common tasks with scripts, and much more. The main advantage of the program is flexibility - parameters of peaks can be arbitrarily bound to each other, eg. the width of a peak can be an independent variable, can be the same as the width of another peak or can be given by a complicated - common to all peaks - formula.

libjs-sphinxdoc is necessary for the Javascript stuff in the documentation.

g3data використовується для отримання даних з графів. Наприклад, графи зазвичай публікуються в наукових журналах без таблиць з вихідними даними. g3data робить процес отримання цих даних простим.

geg is a very simple utility for parsing and plotting 2D-functions, eg f(x) = 3 + sin(x), and much more complicated functions of course. It is written with GTK+ and provides a neat, configurable user interface.

Giza is a lightweight scientific plotting library built on top of cairo that provides uniform output to multiple devices. Giza also provides a mostly compatible, modern replacement for the PGPLOT graphics library.

This package contains the development files.

GLE is a graphics scripting language designed for creating publication quality figures such as charts, plots, graphs, and diagrams. It supports various chart types (including function plot, histogram, bar chart, scatter plot, contour plot, color map, and surface plot) through a simple but flexible set of graphing commands; more complex output can be created by relying on its scripting language, which is full featured with subroutines, variables, and logic control.

GLE relies on LaTeX for text output and supports mathematical formulae in graphs and figures. Output formats include (E)PS, PDF, JPEG, and PNG.

Gmsh — це генератор тривимірних кінцевих елементів, представлених полігонами, з вбудованими засобами САПР та після-обробкою. Програма задумана як простий інструмент створення полігональних об’єктів з можливістю введення параметрів об’єкта та сучасними засобами візуалізації. Gmsh складається з чотирьох модулів: геометрії, полігону, розв’язувача та після-обробки. Введення параметрів створюваного об’єкта у модулі здійснюється або інтерактивно — засобами графічного інтерфейсу користувача, або за допомогою текстових ASCII-файлів з використанням власної мови сценаріїв Gmsh.

Більш детальний огляд можливостей Gmsh дається у керівництві користувача Gmsh.

GNU Data Language (GDL) is a free IDL (Interactive Data Language) compatible incremental compiler. It has full syntax compatibility with IDL 7.1. IDL is a registered trademark of ITT Visual Information Solutions. From IDL 8.0, the following language elements are supported:

• FOREACH loop
• negative array indices
• garbage collection pointers and objects
• call methods on an object using "." (e. g. object.aMemberProcedure,arg1)

The file input output system is fully implemented. GUI support (widgets) is officially provided, but it's not complete yet.

This package contains the main commandline and interpreter frontend.

Gnuplot is a portable command-line driven interactive data and function plotting utility that supports lots of output formats, including drivers for many printers, (La)TeX, (x)fig, Postscript, and so on. The X11-output is packaged in gnuplot-x11.

Data files and self-defined functions can be manipulated by the internal C-like language. Can perform smoothing, spline-fitting, or nonlinear fits, and can work with complex numbers.

This metapackage is to install a full-featured gnuplot (-qt, -x11 or -nox).

Grace is a point-and-click tool that allows the user to draw X-Y plots. This is the program formerly known as Xmgr.

A few of its features are: User defined scaling, tick marks, labels, symbols, line styles, colors, polynomial regression, splines, running averages, DFT/FFT, cross/auto-correlation, batch mode for unattended plotting, and hardcopy support for PostScript, FrameMaker and several image formats.

У вигляді діаграми можна представити саму різну структурну інформацію у вигляді геометричних форм абстрактних блоків та їх з’єднань. Автоматичне створення діаграм є ключовим елементом програми в таких галузях як проектування баз даних, мереж та програмних інтерфейсів. Вам буде корисний даний інструментарій якщо:

• Ви хочете реорганізувати програму, для чого треба по-перше зрозуміти всі існуючі взаємовідносини між типами, процедурами та файлами
• Ви хочете виявити слабкі місця опорного вузла мережі Інтернет — на системному рівні, а не тільки на рівні окремих каналів
• Ви налагоджуєте протокол або мікро-архітектуру, що зводяться до кінцевого механізму і хочете з’ясувати коли він переходить у стан «помилка»
• Ви хочете отримати наочне уявлення схеми бази даних, бази знань, або розподіленої обчислювальної системи
• Ви хочете отримати огляд групи пов’язаних між собою документів
• Ви хочете виявити шаблони та групи за інтересами на основі бази даних телефонних дзвінків або електронних листів

Цей пакунок встановлює утиліти командного рядка.

Gri is an open-source language for scientific graphics programming. It is command-driven, as opposed to point/click. Some users consider Gri similar to LaTeX, since both provide extensive power as a reward for tolerating a learning curve. The output is industry-standard PostScript as output, suitable for inclusion in other documents.

Gri can make x-y graphs, contour graphs, and image graphs. Fine control is provided over all aspects of drawing, e.g. line widths, colors, fonts, etc. Greek letters and mathematical symbols are available in a TeX-like syntax.

Folks who write 1000-line Gri scripts usually start with something as simple as the following:

  open file.dat        # open a file
  read columns x * y   # read the 1st column as x and the 3rd as y
  draw curve           # draw the data and autoscale the axes

A full manual is also available in HTML (gri-html-doc package), in PDF suitable for printing (gri-pdf-doc package) and on-line by following links from the gri home page:

  http://gri.sourceforge.net/

Gwyddion is a modular program for Scanning Probe Microscopy (SPM) data visualization and analysis. It is primarily intended for analysis of height field data obtained by microscopy techniques like

• Atomic Force Microscopy (AFM),
• Magnetic Force Microscopy (MFM),
• Scanning Tunneling Microscopy (STM),
• Near-field Scanning Optical Microscopy (SNOM or NSOM) and others. However, it can be used for arbitrary height field and image analysis.

This package contains the main application and its modules. It also contains a GNOME (and Xfce) thumbnailer which creates previews for all file types known to Gwyddion.

IFRIT (the Ionization FRont Interactive Tool) has its origins (and hence name) in a specialized utility designed to visualize ionization fronts in cosmological numerical simulations. IFRIT, however, has outgrown its origins and now can visualize general data sets as well.

IFRIT is written in C++ and is based on two state-of-the-art toolkits: the Visualization ToolKit (VTK) and a GUI toolkit QT.

Imview це програма, яка:

• Працює з великою кількістю графічних форматів.
• Показує дво- та тривимірні (у проекціях) зображення з гарними можливостями збільшення та панорамування.
• Працює з багато-спектральними, багатосторінковими документами (наприклад: супутникові знімки поверхні, стеки TIFF, анімовані GIF та гетерогенні багато-компонентні файли).
• Показує всі типи пікселів (від 1-бітових до 64-бітових, цілі або з плаваючою точкою).
• Довільні одновимірні профілі двовимірних зображень (або двовимірні проекції тривимірних зображень) можуть бути показані.
• Підтримка довільних кольорових схем для всіх типів пікселів (наприклад: помилкові кольори дисплея).
• Має стандартні засоби для роботи із зображеннями (яскравість, контрастність, гамма, масштабування, кадрування, обертання, і т.д.).
• Може керуватись віддалено через сокети та текстові команди (для легкої інтеграції в різні системи аналізу зображень).
• Зображення можуть бути завантажені в Imview через сокети або розподіляєму пам'ять.
• Та багато іншого!

Kst is a fast real-time large-dataset viewing and plotting tool. It has basic data analysis functionality, contains many powerful built-in features and is expandable with plugins and extensions.

LabPlot provides an easy way to create, manage and edit plots. It allows you to produce plots based on data from a spreadsheet or on data imported from external files. Plots can be exported to several pixmap and vector graphic formats.

Features include:

• project-based management of data
• project explorer for management and organization of created objects in different folders and sub-folders
• spreadsheet with basic functionality for manual data entry or for generation of uniform and non-uniform random numbers
• import of external ASCII data into the project for further editing and visualization
• export of spreadsheet to an ASCII file
• worksheet as the main parent object for plots, labels, etc; supports different layouts and zooming functions
• export of worksheet to different formats (PDF, EPS, PNG, and SVG)
• great variety of editing capabilities for properties of worksheet and its objects
• cartesian plots, created either from imported or manually created data sets or via mathematical equation
• definition of mathematical formulas is supported by syntax highlighting and completion and by the list of thematically grouped mathematical and physical constants and functions
• analysis of plotted data is supported by many zooming and navigation features
• linear and non-linear fits to data, several fit-models are predefined and custom models with arbitrary number of parameters can be provided

This interface allows gnuplot to be controlled from C++ and is designed to be the lowest hanging fruit. In other words, if you know how gnuplot works it should only take 30 seconds to learn this library. Basically it is just an iostream pipe to gnuplot with some extra functions for pushing data arrays and getting mouse clicks. Data sources include STL containers (eg. vector or map) and one or two dimensional Blitz++ arrays (of scalars or TinyVectors). Support for other data sources should be easy to add.

Basically there are two functions defined: send() sends arrays of data values (it is overloaded to do the right thing based upon what type of variable you pass) and getMouse() gets the position of a mouse click. Everything else is accomplished by sending commands manually to gnuplot via the iostream interface.

Lybniz is a simple desktop graph plotter. It can currently plot three functions and allows you to navigate the plot. Functions are entered in Python or C-like notation.

A free cross-platform library of fast C++ routines for plotting data in up to 3 dimensions. It can export plots to bitmaps and vector EPS, SVG, IDTF files. There are simple window interfaces based on GLUT, FLTK and/or Qt. MathGL can also be used in the console. There are interfaces to a set of languages, such as, C, Fortran, Pascal, Forth, Python, Octave.

This package contains MathGL utilities and examples.

matlab2tikz is an Octave script for converting Octave figures into native TikZ/Pgfplots figures, which can then easily be incorporated into a LaTeX document. It supports the conversion of most Octave figures, including 2D and 3D plots.

This package is also compatible with the (nonfree) MATLAB software.

MayaVi2 — багатоплатформовий інструмент для візуалізації наукових даних у 2-D та 3-D. Серед його можливостей:

• візуалізація скалярних, векторних і тензорних даних у 2-х та 3-х вимірах;

• просте використання сценаріїв за допомогою Python;

• легка розширюваність за допомогою додаткових джерел користувача, модулів та фільтрів даних;

• читання кількох форматів: VTK (старий та XML), PLOT3D і т.д.;

• збереження візуалізації;
• збереження візуалізацій в різних графічних форматах.

MayaVi2 був створений з думкою про розширюваність та використання сценаріїв. Але MayaVi2 є корисним застосунком сам по собі, він також може бути використаний як Передбачальний (Envisage) втулок, який дозволяє вбудовувати MayaVi2 безпосередньо у застосунки користувача. Крім того, він може бути використаний в якості рушія візуалізації для будь-якого застосунка.

Цей пакунок також впроваджує TVTK, який обертає об’єкти VTK для забезпечення зручності використання, API для мови Python, підтримуючи при цьому атрибути Traits та масиви NumPy/SciPy. TVTK реалізується в основному на чистому Python, за винятком невеликих модулів розширення.

This package is a transitional dummy package and can be safely removed.

Open3D is an open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python. The backend is highly optimized and is set up for parallelization.

This package provides additional tools for data processing.

ParaView — багатоплатформний застосунок з відкритими джерельними кодами, розроблений для візуалізації наборів даних як великих розмірів так і малих. Метою проекту ParaView є:

• розробка застосунку для візуалізації, багатоплатформного з відкритими джерельними кодами

• підтримка розподіленої моделі обчислень, що оперують великими обсягами даних

• створення відкритого, гнучкого та інтуїтивно зрозумілого інтерфейсу користувача

• розробка гнучкої архітектури на основі відкритих стандартів

ParaView працює на системах із розділюваною та спільною пам’яттю, а також на однопроцесорних системах, її також було успішно протестовано у Windows, Linux, MacOS та різних робочих станціях Unix, а також кластерах й суперкомп’ютерах. ParaView використовує Visualization Toolkit в якості рушія для обробки та візуалізації даних; інтерфейс користувача написаний з використанням бібліотеки Qt.

PDL gives standard perl the ability to COMPACTLY store and SPEEDILY manipulate the large N-dimensional data arrays which are the bread and butter of scientific computing. The idea is to turn perl in to a free, array-oriented, numerical language in the same sense as commercial packages like IDL and MatLab. One can write simple perl expressions to manipulate entire numerical arrays all at once. For example, using PDL the perl variable $a can hold a 1024x1024 floating point image, it only takes 4Mb of memory to store it and expressions like $a=sqrt($a)+2 would manipulate the whole image in a few seconds.

A simple interactive shell (perldl) is provided for command line use together with a module (PDL) for use in perl scripts.

PlotDrop is designed for quick simple visualisation of 2D data series. It is intended to be used in tandem with an external filesystem browser such as GNOME's nautilus or KDE's konqueror. Files containing data are added by dragging them from the browser to the file list.

Gnuplot.py — модуль Python для роботи з gnuplot, популярної програми побудови графіків. Дозволяє використовувати gnuplot з програм, написаних на Python, для побудови графіків, використовуючи дані в пам’яті, файли з даними або математичні функції. Якщо Ви використовуєте Python для виконання обчислень або як оболонку для обчислювальних програм, то зможете використовувати цей модуль для побудови графіків «на ходу», відразу ж після отримання даних. У поєднанні з Python можна легко автоматизувати такі завдання, як, створення «грубої» анімації, створюючи графіки різних даних один за одним.

The guiqwt Python library provides efficient 2D data-plotting features (curve/image visualization and related tools) for signal/image processing application development and interactive computing. It's based on the scientific modules NumPy and SciPy, and the PyQwt plotting widgets for PyQt4 graphical user interfaces.

This is the Python 3 version of the package.

PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy. It is intended for use in mathematics / scientific / engineering applications. Despite being written entirely in Python, the library is very fast due to its heavy leverage of numpy for number crunching and Qt's GraphicsView framework for fast display.

This is the Python 3 version of the package.

Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.

Some of the features that seaborn offers are

• Several built-in themes that improve on the default matplotlib aesthetics
• Tools for choosing color palettes to make beautiful plots that reveal patterns in your data
• Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data
• Tools that fit and visualize linear regression models for different kinds of independent and dependent variables
• A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate
• High-level abstractions for structuring grids of plots that let you easily build complex visualizations

This is the Python 3 version of the package.

Pyxplot is a multi-purpose graph plotting tool, scientific scripting language, vector graphics suite, and data processing package. Its interface is designed to make common tasks -- e.g., plotting labelled graphs of data -- accessible via short, simple, intuitive commands.

Pyxplot produces publication-quality figures. To this end, text is rendered with all of the beauty and flexibility of the LaTeX typesetting environment.

Extensive documentation and examples can be found in the pyxplot-doc package. A gallery of sample plots is available from the project's web site.

Qtiplot is a fully fledged plotting software similar to the OriginLab Origin software (See http://www.originlab.com for more information about Origin).

It can make two and three dimensional plots of publication quality, both from datasets and functions. It can do non-linear fitting and multi-peak fitting.

Some Features:

• Cross platform: works natively on Windows, Mac OS X and Linux/Unix systems
• Fully Python scriptable
• OpenGL based 3D plotting
• Publication quality plots and easy export to various image formats (EMF, EPS, PS, PDF, SVG, BMP, JPG, PNG, TIFF, etc ...)
• Easy integration with LaTeX typesetting system
• Powerful and versatile spreadsheets with column-logic calculations and easy import/export of multiple files
• One-click access to extensive built-in data analysis routines
• Advanced statistical analysis: Student's t-Test, ANOVA, chi-square test for variance, normality test (Shapiro-Wilk)
• Linear and nonlinear curve fitting with weighting and estimation of statistical errors of the fit-parameters
• Multi-peak fitting
• Image analysis tools
• Templates support: all settings for plots, tables and matrices can be saved and restored later on for a fast editing process
• Project files based on folders, a powerful project explorer with built-in drag and drop and searching facilities
• Full import of Excel workbooks and Open Document Format spreadsheets, dBase, SQLite and Microsoft Access databases

A 2-D plotter with infinite zooming, value picking, pipe input, and unlimited plots displayed. Quickplot is meant for looking at your data quickly and of secondary importance is making static pictures of your data. It is a data viewer, not a plot editor. It reads ASCII text and sound files. It has lots of command line options, making it very shell script friendly.

Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.

RLPlot is a GUI based program for displaying scientific data in standard formats. It has full support for all error-bar types and it has greater flexibility with displaying colour and texture in charts than gnuplot (filled bar chart boxes are possible without any additional programs). Output is generated on the X display where further changes can be made to the graph using point and click methods. Images can be exported as scalable vector graphics (SVG) as well as EPS, WMF and TIFF formats.

SolveSpace is a parametric 2d/3d CAD program. Applications include:

• modeling 3d parts — draw with extrudes, revolves, helix creation, and Boolean (union / difference / intersection) operations;
• modeling 2d parts — draw the part as a single section, and export DXF, PDF, SVG; use 3d assembly to verify fit;
• 3d-printed parts — export the STL or other triangle mesh expected by most 3d printers;
• preparing CAM data — export 2d vector art for a waterjet machine or laser cutter; or generate STEP or STL, for import into third-party CAM software for machining;
• mechanism design — use the constraint solver to simulate planar or spatial linkages, with pin, ball, or slide joints;
• plane and solid geometry — replace hand-solved trigonometry and spreadsheets with a live dimensioned drawing.

trend is a general-purpose, efficient trend graph for "live" data. Data is read in ASCII form from a file or continuously from a FIFO and displayed in real-time into a multi-pass trend (much like a CRT oscilloscope). trend can be used as a rapid analysis tool for progressive or time-based data series together with trivial scripting.

Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. It aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems he or she is addressing.

It includes the following features:

• 3D visualizations
• 3D modifications
• Plug-in support for easy evolution
• Building of clusters and navigation into them
• Automatic drawing of graphs
• Automatic clustering of graphs
• Automatic selection of elements
• Automatic metric coloration of graphs

A free cross-platform library of fast C++ routines for plotting data in up to 3 dimensions. It can export plots to bitmaps and vector EPS, SVG, IDTF files. There are simple window interfaces based on GLUT, FLTK and/or Qt. MathGL can also be used in the console. There are interfaces to a set of languages, such as, C, Fortran, Pascal, Forth, Python, Octave.

This package contains the udav window environment based on mathgl.

Veusz is a 2D and 3D scientific plotting and graphing package, designed to produce publication-ready PDF, SVG, Postscript and bitmap output. Veusz provides a GUI, command line and scripting interface (based on Python) to its plotting facilities. The plots are built using an object-based system to provide a consistent interface.

This package includes the main executable, documentation and examples.

Yorick is an interpreted programming language for:

• scientific simulations or calculations
• postprocessing or steering large simulation codes
• interactive scientific graphics
• reading, writing, and translating large files of numbers

The language features a compact syntax for many common array operations, so it processes large arrays of numbers very quickly and efficiently. Superficially, yorick code resembles C code, but yorick variables are never explicitly declared and have a dynamic scoping similar to many Lisp dialects. The yorick language is designed to be typed interactively at a keyboard, as well as stored in files for later use.

This package includes an emacs-based development environment, which you can launch by typing M-x yorick in emacs.

Many add-on packages and plug-ins are available for Yorick (the package names begin with "yorick-"). You may want to install the yorick-full metapackage which depends on the vast majority of them.

Circos візуалізує дані у кругових схемах, завдяки цьому Circos ідеально підходить для вивчення зв’язків між об’єктами чи їхнього розташування. Circos ідеально підходить для створення якісної видавничої інфографіки.

Цей пакунок містить рушій для графобудівника, який керується з командного рядка (як gnuplot) та підтримує сценарії.

Circos visualizes data in a circular layout — ideal for exploring relationships between objects or positions, and creating highly informative publication-quality graphics.

This package provides a set of tools to help process your data: binlinks, bundlelinks, categoryviewer, colorinterpolate, filterlinks, maketutorialimages, orderchr, randomlinks, resample, and tableviewer.

findimagedupes — консольна утиліта, що виконує грубе «візуальне порівняння» двох зображень. Вона дозволяє порівняти два або ціле дерево зображень для виявлення серед них подібних або однакових. Для звичайних типів зображень, імовірність правильного результату визначення з допомогою findimagedupes досягає 98 %.

JEuclid is a complete MathML rendering solution, consisting of:

• A MathViewer application
• Command line converters from MathML to other formats
• An ant task for automated conversion
• Display components for AWT and Swing
• A component for Apache Cocoon

This package contains the Swing MathViewer application.

Coin is an OpenGL-based, retain-mode 3D graphics library that implements the Open Inventor 2.1 API. It also includes support for VRML97 and 3D audio.

Grits is a "Virtual Globe" library which uses OpenGL to render an image of the earth using satellite and terrain data from publicly accessible servers. This is similar in concept to Google Earth and NASA World Wind, except implemented as a library.

This package contains the header files and libraries which are needed for developing programs that use grits.

GtkMathView is a C++ rendering engine for MathML documents. It provides an interactive view that can be used for browsing and editing MathML markup.

GtkMathView reads MathML documents by means of a frontend whose purpose is to traverse the MathML document (or part of it) and to appropriately instantiate GtkMathView's internal data structures that are suitable for rendering it. Currently the following frontends are supported: libxml2 (tree view using libxml2 API), libxml2 reader (event view using libxml2 reader API), GMetaDOM (tree view using DOM API), custom (application-specific view with application-provided callbacks).

GtkMathView renders MathML documents through a backend whose purpose is to provide an interface between the portable rendering engine and the platform-specific capabilities (like retrieving fonts, drawing on the screen, and so on). Currently the following backends are provided: GTK+, GTK+ widget, PostScript, SVG, AbiWord.

This package includes utilities to view and render MathML documents.

The GTS Library is intended to provide a set of useful functions to deal with 3D surfaces meshed with interconnected triangles.

This package contains some utility binaries.

The Puzzle library is designed to quickly find visually similar images (GIF, PNG, JPG), even if they have been resized, recompressed, recolored or slightly modified.

This package contains the command-line tool: puzzle-diff.

SoQt is a Qt GUI component toolkit library for Coin, based on the API of the InventorXt GUI component toolkit. SoQt is also compatible with OpenInventor of SGI and TGS.

SoQt provides a class-hierarchy of viewer classes that ranges from a simple render canvas (the SoQtRenderArea), providing only the basic synchronization and device input conversion routines between Qt and Coin, up to 3 different full-featured viewer classes (SoQtExaminerViewer, SoQtPlaneViewer and SoQtFlyViewer) with input device handling logic and user interfaces to let the application programmer do Rapid Application Development.

This library is linked against Qt version 5.

The Visualization Toolkit (VTK) is an open-source software system for 3D computer graphics, image processing, and visualization.

This package provides the VTK header files required to compile C++ programs that use VTK to do 3D visualisation.

The Visualization Toolkit (VTK) is an object oriented, high level library that allows one to easily write C++ programs, Tcl, Python and Java scripts that do 3D visualization.

This package provides the VTK Java language support.

The Visualization Toolkit (VTK) is an open-source software system for 3D computer graphics, image processing, and visualization.

This package provides the VTK header files required to compile C++ programs that use VTK to do 3D visualisation. Qt files

This metapackage will install Debian packages which might be useful in medical image processing and visualization.

On one hand, it installs several packages supporting various image file formats and image management, like DICOM (Digital Imaging and Communications in Medicine) which is the de-facto standard for medical image management, and NIFTI. On the other hand, it provides a variety of software packages that can be used for visualization and for image processing - either from a graphical user interface, the command line, or implemented in workflows.

Matplotlib is a pure Python plotting library designed to bring publication quality plotting to Python with a syntax familiar to Matlab users. All of the plotting commands in the pylab interface can be accessed either via a functional interface familiar to Matlab users or an object oriented interface familiar to Python users.

Pivy is a Coin binding for Python. Coin is a high-level 3D graphics library with a C++ API. Coin uses scene-graph data structures to render real-time graphics suitable for mostly all kinds of scientific and engineering visualization applications. Pivy allows:

• Development of Coin applications and extensions in Python
• Interactive modification of Coin programs from within the Python interpreter at runtime
• Incorporation of Scripting Nodes into the scene graph which are capable of executing Python code and callbacks
• Use of Coin within PyQt4 applications with the quarter module

This package contains the Python 3 bindings.

The Visualization Toolkit (VTK) is an open-source software system for 3D computer graphics, image processing, and visualization.

This package provides the python3 bindings for VTK.

This GNU R package provided a set of functions for drawing some special plots:

• stem.leaf plots a stem and leaf plot,
• stem.leaf.backback plots back-to-back versions of stem and leafs,
• bagplot plots a bagplot,
• skyline.hist plots several histgramm in one plot of a one dimensional data set,
• plotsummary plots a graphical summary of a data set with one or more variables,
• plothulls plots sequentially hulls of a bivariate data set,
• faces plots chernoff faces,
• spin3R for an inspection of a 3-dim point cloud,
• slider functions for interactive graphics.

Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided.

ggplot2 combines the advantages of both base and lattice graphics. Conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes.

This system extends Wilkinsons optimization-based labeling approach to create a more robust, full-featured axis labeler.

This R package provides lots of plots, various labeling, axis and color scaling functions. Some of them are:

 arctext:          Display text on a circular arc.
 barhier:          Display a set of hierarchically associated variables
 barp:             A bar plotting routine
 bin.wind.records: Classify wind direction and speed records.
 centipede.plot:   Display a centipede plot
 clock24.plot:     Plot values on a 24 hour "clockface".
 color.legend:     Legend matching categories or values to colors
 dotplot.mtb:      Minitab style dotplots.
 gantt.chart:      Display a Gantt chart
 intersectDiagram: Display set intersections
 multhist:         Plot a multiple histogram, as a barplot
 polar.plot:       Plot values on a circular grid of 0 to 360 degrees.
 vectorField:      Display magnitude/direction vectors
 weighted.hist:    Display a weighted histogram

and many more. Read more about this package at http://cran.r-project.org/web/packages/plotrix/plotrix.pdf

qqman is an add-on package for the R statistical environment. This package provides functions for visualizing Genome-Wide Association Studies (GWAS) results using Manhattan plots and Quantile-Quantile plots.

Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.

Scatterplot3d is an GNU R package for the visualization of multivariate data in a three dimensional space. Basically scatterplot3d generates a scatter plot in the 3D space using a parallel projection. Higher dimensions (fourth, fifth, etc.) of the data can be visualized to some extent using, e.g. different colors, symbol types or symbol sizes.