Debian Science Viewing packages

이 프로그램은 실제 값 포인트 데이타 (x,y,z,value)의 과학적 분석을 위한 그래픽 인터페이스를 제공합니다. 이 프로그램은 원자 프로브 단층 촬영 어플리케이션을 주요 대상으로 하지만, 다른 어플리케이션에서도 유용할 수 있습니다.

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.

ctioga2는 gnuplot의 정신을 계승한 플로팅 프로그램입니다. 명령행이나 작성된 명령 파일(또는 두 가지가 혼합된 환경)에서 직접 사용할 수 있습니다. 출판 품 질에 PDF 파일을 생성합니다. Tioga 플로팅 라이브러리를 기반으로 합니다.

ctioga2는 ctioga를 완전히 다시 개발 했으며 멀지않은 시기에 완전히 대체할 예 정입니다.

Gnuplot에 대한 유연학고, 명령행 지향 프론트엔드입니다. STDIN에서 들어오는 데이타 또는 명령행으로 전달되는 파일이름을 통해서 plots을 만듭니다. 하드카 피 출력 및 라이브 데이타의 스트리밍 출력처럼, 다양한 데이타 표현이 지원됩니다.

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.

g3data는 그래프에서 데이타를 추출하는데 사용됩니다. 예를 들어, 과학잡지에 있는 그래프는 보통 실제 데이타의 테이블이 없이 출판됩니다; g3data는 이러한 데이타 추출을 간단하게 처리할 수 있도록 합니다.

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.

GLE는 차트, 플로트, 그래피, 도표같은 간행물 품질 수치를 생성하기 위해 설계 된 그래픽 스크립팅 언어입니다. 이 프로그램은 간단하지만 유연한 그래픽 명령 세트를 통해서 (함수 플로트, 히스토그램, 바 그래프, 산포도, 등고선 플로트, 컬러지도 및 표면 플로트를 포함해서) 다양한 차트 유형을 지원합니다; 더 복잡 한 출력은 서브루틴, 변수 및 로직 제어의 완전한 기능을 갖는 스크립트 언어에 의존하여 만들 수 있습니다.

GLE는 text 출력 및 그래프와 수치를 갖는 수학적 공식을 위해 LaTeX에 의존합니 다. 출력 형식은 (E)PS, PDF, JPEG, PNG를 포함합니다.

Gmsh는 내장 CAD 엔진 및 후처리기 기능이 있는 3D 유한 요소 그리드 생성기입니 다. 개발 목적은 매개 변수 입력 및 고급 시각화 기능이 있는 빠르면서 경량인 사용자 친화적인 메싱 도구를 제공하는 것입니다. Gmsh는 4개의 모듈로 구성됩니 다: geometry, mesh, solver, post-processing. 이 모듈에 대한 임의 입력 항목 은 그래픽 사용자 인터페이스를 사용해서 대화식으로 하거나 또는 Gmsh의 자체 스크리팅 언어를 사용해서 ASCII 텍스트 파일로 할 수 있습니다.

Gmsh의 기능에 대해 더 자세한 개요는 Gmsh의 레퍼런스 메뉴얼을 보십시요.

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.

Graph drawing addresses the problem of visualizing structural information by constructing geometric representations of abstract graphs and networks. Automatic generation of graph drawings has important applications in key technologies such as database design, software engineering, VLSI and network design and visual interfaces in other domains. Situations where these tools might be particularly useful include:

• you would like to restructure a program and first need to understand the relationships between its types, procedures, and source files
• you need to find the bottlenecks in an Internet backbone - not only individual links, but their relationships
• you're debugging a protocol or microarchitecture represented as a finite state machine and need to figure out how a certain error state arises
• you would like to browse a database schema, knowledge base, or distributed program represented graphically
• you would like to see an overview of a collection of linked documents
• you would like to discover patterns and communities of interest in a database of telephone calls or e-mail messages

This package contains the command-line tools.

Gri는 과학적 그래픽 프로그램을 위한 오픈소스 언어입니다. 포인트/클릭과는 대 조적으로 명령 기반입니다. 일부 사용자는 학습 곡선을 견디기 위한 보상으로 광 범위한 권한을 제공하기 때문에 Gri 이 LaTeX와 유사하다고 합니다. 다른 문서에 포함하기 적합한 산업 표준 포스트스크립트로 출력을 합니다.

Gri는 x-y 그래프, 등고선 그래프, 이미지 그래프를 만들 수 있습니다. 미세 제 어가 그림의 모든 부분에서 제공됩니다, 예. 선너비, 색상, 폰트등. 그리스 문자 와 수학 기호는 Tex와 유사한 문법으로 사용할 수 있습니다.

1000 줄 짜리 Gri 스크립트를 작성하는 사람들은 일반적으로 다음과 같이 간단한 것으로 시작합니다:

 open file.dat      # 파일 오픈
 read columns x * y # 첫번째 열을 x로, 세번째 열을 y로 읽습니다.
 draw curve         # 데이타와 자동 스케일 축을 그립니다.

완전한 메뉴얼은 HTML로 (gri-html-doc 패키지), 출력에 적합한 PDF로 (gri-pdf-doc 패키지), gri 홈 페이지에 다음 링크에서 온라인으로 제공됩니다.

 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.

Imview는 아래의 특징들을 갖는 어플리케이션입니다.

• 다수의 이미지 형식 출력.
• 매우 훌륭한 줌 및 팬 기능을 가지고 2D 또는 3D (슬라이스로) 이미지를 를 출력.
• 다중 스펙트럼, 시간열 또는 다중 페이지 문서(예, 위성 영상, TIFF 스택, 애니메이트 GIF, 이기종 다중 구성 파일들)에서 작동합니다.
• 모든 픽셀 타입 출력 (1 비트에서 64비트 데이타, 정수 또는 부동 소수점).
• 2-D 이미지 (또는 3-D 이미지의 2-D 슬라이스)의 임의 1-D 프로필을 표시할 수 있습니다.
• 모든 픽셀 유형에 대해 임의의 컬러맵을 지원 (예: false colour display)
• 표준 이미지 조작 기능 (밝기/대비, 감마, 확대, 자르기, 회전등).
• 소켓과 텍스트 명령을 통해 리모트로 제어할 수 있습니다 (다양한 이미지 분석 시스템과 쉽게 통합 될 수 있습니다).
• 이미지는 소켓 또는 공유 메모리를 통해서 Imview에 업로드 될 수 있습니다.
• 그외에도 많은 것들이 있습니다!

Kst는 큰 데이타 세트 빠르게 실시간으로 보여주고 플로팅하는 도구입니다. Kst 는 많은 강력한 내장 기능을 포함하고 있으며 플러그인 및 확장기능을 통해 기능 을 확장할 수 있는, 기본 데이타 분석 기능을 갖습니다.

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 is a cross-platform tool for 2-D and 3-D scientific data visualization. Its features include:

• Visualization of scalar, vector and tensor data in 2 and 3 dimensions
• Easy scriptability using Python
• Easy extendability via custom sources, modules, and data filters
• Reading several file formats: VTK (legacy and XML), PLOT3D, etc.
• Saving of visualizations
• Saving rendered visualization in a variety of image formats.

MayaVi2 has been designed with scriptability and extensibility in mind. While the mayavi2 application is usable by itself, it may be used as an Envisage plugin which allows it to be embedded in user applications natively. Alternatively, it may be used as a visualization engine for any application.

This package also provides TVTK, which wraps VTK objects to provide a convenient, Pythonic API, while supporting Traits attributes and NumPy/SciPy arrays. TVTK is implemented mostly in pure Python, except for a small extension module.

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.

ParaView는 크기가 작은것 부터 매우 큰 것까지 매우 다양한 데이타 세트를 시각 화하도록 설계된 오픈소스, 멀티 플랫폼 어플리케이션입니다. ParaView 프로젝트 의 목적은 다음과 같습니다.

• 오픈소스, 멀티 플랫폼 시각화 어플리케이션 개발.
• 대형 데이타 세트 처리를 위한 분산 계산 모델 지원.
• 개방적이며, 유연하고, 직관적인 사용자 인터페이스 생성
• 오픈 표준을 기반으로 확장가능한 아키텍쳐 개발.

ParaView는 분산 및 공유 메모리의 병렬 및 싱글 프로세스 시스템에서 실행되며, Windows, Mac OS X, Linux 그리고 여러 유닉스 워크스테이션, 클러스터 및 슈퍼 컴퓨터에서 성공적으로 테스트가 완료되었습니다. 내부를 보면, ParaView는 데이 타 프로세싱 및 렌더링 엔진으로 시각화 툴킷을 사용하며, Qt를 사용해서 개발된 사용자 인터페이스를 가지고 있습니다.

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 is a Python module that interfaces to gnuplot, the popular plotting program. It allows you to use gnuplot from within Python to plot arrays of data from memory, data files, or mathematical functions. If you use Python to perform computations or as glue' for numerical programs, you can use this module to plot data on the fly as they are computed. And the combination with Python makes it is easy to automate things, including to create crudeanimations' by plotting different datasets one after another.

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.

Qtiplot는 OriginLab Origin 소프트웨어와 유사한 완벽한 플로팅 소프트웨어입니 다 (Origin에 대한 자세한 내용은 http://www.originlab.com 을 참조하십시요).

데이타 세트와 함수 양쪽 모두에 있어서 출판 품질의 2,3차원 플롯을 만들 수 있 습니다. 비선형 피팅 및 다중 피크 피팅을 할 수 있습니다.

일부 기능들:

• 크로스 플랫폼: Windows, Mac OS X, 리눅스/유닉스 시스템을 기본적으로 지원합니다.
• Python 스크립트 완벽 지원
• OpenGL 기반 3D 플로팅
• 출판 품질 플롯 및 다양한 이미지 형식으로 쉬운 내보내기 (EMF, EPS, PS, PDF, SVG, BMP, JPG, PNG, TIFF 등등..)
• LaTeX 조판 시스템과의 쉬운 통합
• 열 논리 계산 및 다중 파일의 쉬운 import/export 기능을 갖는 강력하고 다재다능한 스프레드쉬트
• 광범위한 내장 데이타 분석 루틴을 위한 원클릭 엑세스
• 고급 통계 분석: 학생들의 t-Test, ANOVA, 분산에 대한 카이 제곱 테스트, 정규성 테스트 (Shapiro-Wilk)
• 가중치를 갖는 선형 및 비선형 커브 피팅 그리고 적합 매개변수의 통계 오차 추정
• 다중 피크 피팅
• 이미지 분석 도구
• 템플릿 지원: 플롯, 테이블, 메트릭스에 대한 모든 설정은 빠른 편집 프로세스를 위해 저장되고 추후에 복구될 수 있습니다.
• 폴더에 기반한 프로젝트 파일, 드래그 앤 드롭 및 검색 기능을 내장한 강력한 프로젝트 탐색기
• 엑셀 워크북과 Open Document Format 스프레드쉬트, dBase, SQLite 그리고 마이크로소프트 엑세스 데이타베이스 전체 가져오기

무제한 줌, 값 취득, 파이프 입력, 그리고 무제한 플롯 표시 기능을 갖는 2-D 플로터. Quickplot은 사용자 데이타를 빠르게 검색하기 위해 만들어졌으며, 그리고 다음으로 중요시되는 기능은 사용자 데이타로 정적인 사진을 작성하는 것 입니다. 이 프로그램은 플로터 편집기가 아닌, 데이타 뷰어 입니다. ASCII 텍스트와 사운드 파일을 읽어들입니다. 많은 명령행 옵션을 가지고 있어, 이를 통해 쉘 스크립트를 쉽게 제작할 수 있습니다.

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.

VisTrails는 유타 대학에서 개발된 오픈 소스 과학 워크 플로우 및 출처 관리 시스템으로, 데이타 탐색 및 시각화를 지원합니다. 워크플로우는 전통적으로 반복적인 작업을 자동화하기 위해 사용되어 왔지만, 반면 시뮬레이션, 데이타 분석, 시각화와 같은 본질적인 면을 탐구하는 어플리케이션의 경우에는 반복 작업이 거의 없습니다---변화가 일반적입니다. 엔지니어나 과학자가 연구 대상인 데이타에 대해 가설을 세우고 평가함에 따라, 대화형 프로세스에서 워크플로우가 조정되는 동안 비록 관련은 있지만 일련의 서로 다른 워크플로우가 생성됩니다. VisTrails는 빠르게 진화하는 이러한 워크플로우를 관리할 수 있도록 설계되었습니다.

Yorick은 다음을 위한 인터프리티드 프로그래밍 언어입니다:

• 과학 시뮬레이션 또는 계산
• 후처리 또는 운영에 대한 많은 시뮬레이션 코드
• 대화형 과학 그래픽
• 대량 파일의 읽기, 쓰기, 그리고 번역

Yorick은 많은 일발적 배열 작업에 대한 간편한 구문을 제공하며, 그래서 Yorick은 거대한 배열을 매우 빠르고 효과적으로 처리합니다. 피상적으로, yorick 코드는 C 코드와 비슷합니다, 그러나 yorick은 절대로 변수를 명시적으로 선언하지 않으며 많은 Lisp 변종과 유사하게 동적 범위를 갖습니다. Yorick 언어는 키보드에서 대화형으로 입력받을 뿐만 아니라, 나중에 사용하기 위해 파일로 저장하도록 설계되었습니다.

이 패키지는 이맥스 기반에 개발환경을 포함합니다. 그래서 당신은 이맥스내에서 M-x yorick 명령으로 yorick를 시작할 수 있습니다.

많은 추가 패키지와 플러그인은 Yorick을 사용할 수 있습니다 (패키지 이름은 "yorick-"으로 시작). 사용자는 Yorick 패키지의 대부분과 의존성 관계인 yorick-full 메타패키지를 설치할 수도 있습니다.

Circos는 원형 배치로 데이타를 시각화합니다 - 원형배치는 객체 또는 위치간 관 계 탐색 및 매우 유용한 출판 품질 그래픽을 만드는데 이상적입니다.

이 패키지는 (gnuplot와 같이) 명령행으로 구동되고 스크립트를 완벽하게 지원하 는 Circos 플로터 엔진을 제공합니다.

Circos는 원형 배치로 데이타를 시각화합니다 - 원형배치는 객체 또는 위치간 관 계 탐색 및 매우 유용한 출판 품질 그래픽을 만드는데 이상적입니다.

이 패키지는 사용자 데이타 처리를 돕는 도구 세트를 제공합니다: binlinks, bundlelinks, categoryviewer, colorinterpolate, filterlinks, maketutorialimages, orderchr, randomlinks, resample, tableviewer.

findimagedupes는 두개의 이미지에서 대략적인 "visual diff"를 수행하는 명령행 유틸리티입니다. 이 프로그램은 사용자가 두개의 이미지 또는 전체 이미지 트리 를 비교하여 유사하거나 동일한 이미지를 찾을 수 있도록 합니다. 일반적인 이미 지 유형에서, findimagedupes는 98%의 정확성을 보여줍니다.

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

이 메타패키지는 의료 이미지 처리 및 시각화에 유용할 수 있는 데비안 패키지를 설치합니다.

한편으로, 의료 이미지 관리의 사실상 표준인 DICOM (Digital Imaging and Communications in Medicine) 및 NIFTI와 같은 다양한 이미지 파일 형식과 이미지 관리를 지원하는 여러 패키지를 설치합니다. 또한 시각화 및 그래픽 사용자 인터페이스, 명령행, 또는 워크플로우에서 구현되는 이미지 처리를 위해 사용될 수 있는 다양한 소프트웨어 패키지를 제공합니다.

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.