Selected Open Source Programs

Total Page:16

File Type:pdf, Size:1020Kb

Selected Open Source Programs Selected Open Source Programs Type Open Source Program Comments Website Quantum GIS General purpose GIS http://www.qgis.org/ Research GIS, especially for gridded Saga data http://www.saga-gis.org/ GIS GMT - Generic Mapping Tool Command line GIS http://gmt.soest.hawaii.edu/ GDAL - Geospatial Data Abstraction Library Command line raster mapping http://www.gdal.org Scilab Like Matlab http://www.scilab.org/ Math Octave Like Matlab http://www.gnu.org/software/octave/ Sage Like Mathematica http://www.sagemath.org/ R Statistics, data processing, graphics http://www.r-project.org/ R Studio GUI for R http://rstudio.org/ Statistics PSPP Like SPSS http://www.gnu.org/software/pspp/ Gnu Regression, Econometrics and gretl Time-series Library http://gretl.sourceforge.net/ Complete office program: word processing, spreadsheet, presentation, Documents Libre Office graphics http://www.libreoffice.org/ Latex Document typesetting system http://www.latex-project.org/ Lyx WYSIWYG front end for Latex http://www.lyx.org/ gnumeric Small, fast spreadsheet http://projects.gnome.org/gnumeric/ Complete office program: word Spreadsheets processing, spreadsheet, presentation, Libre Office graphics http://www.libreoffice.org/ GNU Image Manipulation Program Like Adobe Photoshop http://www.gimp.org/ Inkscape Vector drawing like Corel Draw http://inkscape.org/ Graphics Dia Flowcharts and other diagrams like Visio http://live.gnome.org/Dia SciGraphica Scientific Graphing http://scigraphica.sourceforge.net/ GDL - GNU Data Language Like IDL http://gnudatalanguage.sourceforge.net/ Built in to Linux. http://www.finkproject.org/ for Data processing Mac OS, http://unxutils.sourceforge.net/ for gawk Language for parsing text files Windows Python General purpose language http://python.org/ Programming C, C++, Fortran Language compilers http://gcc.gnu.org/ Geany Simple IDE for many languages http://www.geany.org/ http://en.wikipedia.org/wiki/List_of_free_and_o Other sites Wikipedia Listing of Open Source Program pen_source_software_packages FLOSS for science Information about programs http://www.floss4science.com/ Open Source Alternatives Alternatives to closed source programs http://www.osalt.com/.
Recommended publications
  • Veusz Documentation Release 3.0
    Veusz Documentation Release 3.0 Jeremy Sanders Jun 09, 2018 CONTENTS 1 Introduction 3 1.1 Veusz...................................................3 1.2 Installation................................................3 1.3 Getting started..............................................3 1.4 Terminology...............................................3 1.4.1 Widget.............................................3 1.4.2 Settings: properties and formatting...............................6 1.4.3 Datasets.............................................7 1.4.4 Text...............................................7 1.4.5 Measurements..........................................8 1.4.6 Color theme...........................................8 1.4.7 Axis numeric scales.......................................8 1.4.8 Three dimensional (3D) plots..................................9 1.5 The main window............................................ 10 1.6 My first plot............................................... 11 2 Reading data 13 2.1 Standard text import........................................... 13 2.1.1 Data types in text import.................................... 14 2.1.2 Descriptors........................................... 14 2.1.3 Descriptor examples...................................... 15 2.2 CSV files................................................. 15 2.3 HDF5 files................................................ 16 2.3.1 Error bars............................................ 16 2.3.2 Slices.............................................. 16 2.3.3 2D data ranges........................................
    [Show full text]
  • Sagemath and Sagemathcloud
    Viviane Pons Ma^ıtrede conf´erence,Universit´eParis-Sud Orsay [email protected] { @PyViv SageMath and SageMathCloud Introduction SageMath SageMath is a free open source mathematics software I Created in 2005 by William Stein. I http://www.sagemath.org/ I Mission: Creating a viable free open source alternative to Magma, Maple, Mathematica and Matlab. Viviane Pons (U-PSud) SageMath and SageMathCloud October 19, 2016 2 / 7 SageMath Source and language I the main language of Sage is python (but there are many other source languages: cython, C, C++, fortran) I the source is distributed under the GPL licence. Viviane Pons (U-PSud) SageMath and SageMathCloud October 19, 2016 3 / 7 SageMath Sage and libraries One of the original purpose of Sage was to put together the many existent open source mathematics software programs: Atlas, GAP, GMP, Linbox, Maxima, MPFR, PARI/GP, NetworkX, NTL, Numpy/Scipy, Singular, Symmetrica,... Sage is all-inclusive: it installs all those libraries and gives you a common python-based interface to work on them. On top of it is the python / cython Sage library it-self. Viviane Pons (U-PSud) SageMath and SageMathCloud October 19, 2016 4 / 7 SageMath Sage and libraries I You can use a library explicitly: sage: n = gap(20062006) sage: type(n) <c l a s s 'sage. interfaces .gap.GapElement'> sage: n.Factors() [ 2, 17, 59, 73, 137 ] I But also, many of Sage computation are done through those libraries without necessarily telling you: sage: G = PermutationGroup([[(1,2,3),(4,5)],[(3,4)]]) sage : G . g a p () Group( [ (3,4), (1,2,3)(4,5) ] ) Viviane Pons (U-PSud) SageMath and SageMathCloud October 19, 2016 5 / 7 SageMath Development model Development model I Sage is developed by researchers for researchers: the original philosophy is to develop what you need for your research and share it with the community.
    [Show full text]
  • IADS Group Uses Multiple MATLAB Licenses
    Can We Migrate Our Analysis Routines to Python? Introduction • Can we migrate our analysis routines to Python? - MATLAB is powerful, but it’s expensive. - Capable open-source alternatives exist and are thriving. • Recent developments in scientific Python libraries have made migration from MATLAB to Python possible and attractive. • The IADS Group uses multiple MATLAB licenses. Dominance of MATLAB • MATLAB is the standard language for engineering analysis. • No need to be a programmer to solve engineering problems. • Used for collaboration and development of analysis routines. • MATLAB is required for study in an engineering curriculum - ECE 309 (CSUN), “Numerical Methods in Electrical Engineering”, is now taught using MATLAB. It was taught using Pascal in the 1980s… Dependence on MATLAB • IADS uses MATLAB to prototype new analysis routines. • IADS uses MATLAB to test and maintain data export and import. We need MATLAB! • IADS uses a set of MATLAB scripts to test Autospectrum and PSD results for Every Release. • IADS is dependent upon MATLAB. Problems with Dependency • Budget constraints mean fewer licenses and toolboxes are available. • MATLAB version changes force retest What happens of data interfaces. if they take MATLAB away • Retest requires an active license. from us? • Test Scripts are unusable without a license. • Having no backup plan in place is risky. Requirements for a Replacement • Should have broad industry acceptance. • Should have scientific libraries that mimic functionality that is commonly used in MATLAB by the flight test community. • Should have similar syntax. • Total MATLAB functionality is not necessary for our purposes, but it would be nice for going forward. • Should be relatively free of periodic licensing hassles.
    [Show full text]
  • A Comparative Evaluation of Matlab, Octave, R, and Julia on Maya 1 Introduction
    A Comparative Evaluation of Matlab, Octave, R, and Julia on Maya Sai K. Popuri and Matthias K. Gobbert* Department of Mathematics and Statistics, University of Maryland, Baltimore County *Corresponding author: [email protected], www.umbc.edu/~gobbert Technical Report HPCF{2017{3, hpcf.umbc.edu > Publications Abstract Matlab is the most popular commercial package for numerical computations in mathematics, statistics, the sciences, engineering, and other fields. Octave is a freely available software used for numerical computing. R is a popular open source freely available software often used for statistical analysis and computing. Julia is a recent open source freely available high-level programming language with a sophisticated com- piler for high-performance numerical and statistical computing. They are all available to download on the Linux, Windows, and Mac OS X operating systems. We investigate whether the three freely available software are viable alternatives to Matlab for uses in research and teaching. We compare the results on part of the equipment of the cluster maya in the UMBC High Performance Computing Facility. The equipment has 72 nodes, each with two Intel E5-2650v2 Ivy Bridge (2.6 GHz, 20 MB cache) proces- sors with 8 cores per CPU, for a total of 16 cores per node. All nodes have 64 GB of main memory and are connected by a quad-data rate InfiniBand interconnect. The tests focused on usability lead us to conclude that Octave is the most compatible with Matlab, since it uses the same syntax and has the native capability of running m-files. R was hampered by somewhat different syntax or function names and some missing functions.
    [Show full text]
  • Julia, My New Friend for Computing and Optimization? Pierre Haessig, Lilian Besson
    Julia, my new friend for computing and optimization? Pierre Haessig, Lilian Besson To cite this version: Pierre Haessig, Lilian Besson. Julia, my new friend for computing and optimization?. Master. France. 2018. cel-01830248 HAL Id: cel-01830248 https://hal.archives-ouvertes.fr/cel-01830248 Submitted on 4 Jul 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. « Julia, my new computing friend? » | 14 June 2018, IETR@Vannes | By: L. Besson & P. Haessig 1 « Julia, my New frieNd for computiNg aNd optimizatioN? » Intro to the Julia programming language, for MATLAB users Date: 14th of June 2018 Who: Lilian Besson & Pierre Haessig (SCEE & AUT team @ IETR / CentraleSupélec campus Rennes) « Julia, my new computing friend? » | 14 June 2018, IETR@Vannes | By: L. Besson & P. Haessig 2 AgeNda for today [30 miN] 1. What is Julia? [5 miN] 2. ComparisoN with MATLAB [5 miN] 3. Two examples of problems solved Julia [5 miN] 4. LoNger ex. oN optimizatioN with JuMP [13miN] 5. LiNks for more iNformatioN ? [2 miN] « Julia, my new computing friend? » | 14 June 2018, IETR@Vannes | By: L. Besson & P. Haessig 3 1. What is Julia ? Open-source and free programming language (MIT license) Developed since 2012 (creators: MIT researchers) Growing popularity worldwide, in research, data science, finance etc… Multi-platform: Windows, Mac OS X, GNU/Linux..
    [Show full text]
  • Ipython: a System for Interactive Scientific
    P YTHON: B ATTERIES I NCLUDED IPython: A System for Interactive Scientific Computing Python offers basic facilities for interactive work and a comprehensive library on top of which more sophisticated systems can be built. The IPython project provides an enhanced interactive environment that includes, among other features, support for data visualization and facilities for distributed and parallel computation. he backbone of scientific computing is All these systems offer an interactive command mostly a collection of high-perfor- line in which code can be run immediately, without mance code written in Fortran, C, and having to go through the traditional edit/com- C++ that typically runs in batch mode pile/execute cycle. This flexible style matches well onT large systems, clusters, and supercomputers. the spirit of computing in a scientific context, in However, over the past decade, high-level environ- which determining what computations must be ments that integrate easy-to-use interpreted lan- performed next often requires significant work. An guages, comprehensive numerical libraries, and interactive environment lets scientists look at data, visualization facilities have become extremely popu- test new ideas, combine algorithmic approaches, lar in this field. As hardware becomes faster, the crit- and evaluate their outcome directly. This process ical bottleneck in scientific computing isn’t always the might lead to a final result, or it might clarify how computer’s processing time; the scientist’s time is also they need to build a more static, large-scale pro- a consideration. For this reason, systems that allow duction code. rapid algorithmic exploration, data analysis, and vi- As this article shows, Python (www.python.org) sualization have become a staple of daily scientific is an excellent tool for such a workflow.1 The work.
    [Show full text]
  • SSWGDL Installation on Ubuntu 10.04 Using VMWARE Player
    SSWGDL Installation on Ubuntu 10.04 using VMWARE Player 1. Install ubuntu 10.04 on vmware a) ubuntu-10.04.1-desktop-i386.iso, 32 bit b) configure with 1-2 GB mem, 20-40 GB disk c) vmware tools - d) shared folders e) do not enable multiple processors even if your machines supports many f) pword yourpassword g) /home/yourname - that's the way I did it - h) login name is yourchoice 2. Configure Ubuntu a) do default system update via system update manager b) install vmware tools using easy install, run the perl scipt (.pl), let it compile and install c) use ubuntu software center d) cvs, plplot x11 driver, tcsh, wxidgets I grabbed wx2.8 dev and lib packages, see package- manager-installs.txt for details. 3. Download and install GDL with dependencies a) Download and unpack 0.90 release tar.gz into gdl-0.9 (use current release from gdl) b) Get dependencies using sudo apt-get build-dep gnudatalanguage c) cd to gdl-0.9 d) Configure using “./configure --with-Magick=no --with-python=no --with-openmp=no – with-hdf=no” e) Does anyone know how to install numarray so we don't have to use python=no switch f) Here is the message of success after configure: GDL - GNU Data Language • ----- compilation options: --------------------------- • System: i686-pc-linux-gnu • Installation prefix: /usr/local • C++ compiler: g++ -g -O2 • OpenMP support: no • Build type: standalone (other: Python module) • ----- optional libraries (consult README/INSTALL): --- • wxWidgets: yes • Magick: no • NetCDF: yes • HDF4: no • HDF5: yes • FFTW: yes • libproject: no (see also
    [Show full text]
  • Running Sagemath (With Or Without Installation)
    Running SageMath (with or without installation) http://www.sagemath.org/ Éric Gourgoulhon Running SageMath 9 Feb. 2017 1 / 5 Various ways to install/access SageMath 7.5.1 Install on your computer: 2 options: install a compiled binary version for Linux, MacOS X or Windows1 from http://www.sagemath.org/download.html compile from source (Linux, MacOS X): check the prerequisites (see here for Ubuntu) and run git clone git://github.com/sagemath/sage.git cd sage MAKE=’make -j8’ make Run on your computer without installation: Sage Debian Live http://sagedebianlive.metelu.net/ Bootable USB flash drive with SageMath (boosted with octave, scilab), Geogebra, LaTeX, gimp, vlc, LibreOffice,... Open a (free) account on SageMathCloud https://cloud.sagemath.com/ Run in SageMathCell Single cell mode: http://sagecell.sagemath.org/ 1requires VirtualBox; alternatively, a full Windows installer is in pre-release stage at https://github.com/embray/sage-windows/releases Éric Gourgoulhon Running SageMath 9 Feb. 2017 2 / 5 Example 1: installing on Ubuntu 16.04 1 Download the archive sage-7.5.1-Ubuntu_16.04-x86_64.tar.bz2 from one the mirrors listed at http://www.sagemath.org/download-linux.html 2 Run the following commands in a terminal: bunzip2 sage-7.5.1-Ubuntu_16.04-x86_64.tar.bz2 tar xvf sage-7.5.1-Ubuntu_16.04-x86_64.tar cd SageMath ./sage -n jupyter A Jupyter home page should then open in your browser. Click on New and select SageMath 7.5.1 to open a Jupyter notebook with a SageMath kernel. Éric Gourgoulhon Running SageMath 9 Feb. 2017 3 / 5 Example 2: using the SageMathCloud 1 Open a free account on https://cloud.sagemath.com/ 2 Create a new project 3 In the second top menu, click on New to create a new file 4 Select Jupyter Notebook for the file type 5 In the Jupyter menu, click on Kernel, then Change kernel and choose SageMath 7.5 Éric Gourgoulhon Running SageMath 9 Feb.
    [Show full text]
  • Jazyk Gdl Na Spracovanie Vedeckých Dát
    JAZYK GDL NA SPRACOVANIE VEDECKÝCH DÁT ŠECHNÝ, Martin (SK) Abstrakt. GNU Data Language (GDL) je jazyk na spracovanie vedeckých dát a zároveň prostredie na spúšťanie programov v tomto jazyku. GDL je slobodný softvér kompatibilný s komerčne licencovaným Interactive Data Language (IDL). GDL je platformovo nezávislé prostredie a využíva iné dostupné nainštalované knižnice a aplikácie. Jazyk GDL umožňuje spracovávať vstupy z klávesnice, dátové súbory, obrázky a dokáže vizualizovať dáta tabuľkami, grafmi, obrázkami. GDL je efektívny pri numerickej analýze dát, vektorovej reprezentácii, použití matematických funkcií a procedúr. Tento nástroj je vhodný pre široké použitie vo vede, výskume, aj ako alternatíva k známym matematickým a vizualizačným nástrojom. Kľúčové slová. GDL, IDL, vedecké dáta, programovanie, vizualizácia. GDL LANGUAGE FOR SCIENTIFIC DATA PROCESSING Abstract. GNU Data Language (GDL) is a language for scientific data processing and also the environment for launching programs in that language. GDL is a free software that is compatible with commercially licensed Interactive Data Language (IDL). GDL is a platform-independent environment and uses other available libraries and applications installed. GDL language enables to process keyboard input, data files, images and can visualize data tables, charts, pictures. GDL is effective in the analysis of numerical data, vector representation, the use of mathematical functions and procedures. This tool is suitable for wide use in science, research, and as an alternative to known mathematical and visualization tools. Key words and phrases. GDL, IDL, scientific data, programming, visualization. 1 Úvod GNU Data Language (GDL)1 je jazyk na spracovanie vedeckých dát a zároveň prostredie (interpreter a inkrementálny prekladač) na spúšťanie programov v tomto jayzku.
    [Show full text]
  • Lightweight Distros on Test
    GROUP TEST LIGHTWEIGHT DISTROS LIGHTWEIGHT DISTROS GROUP TEST Mayank Sharma is on the lookout for distros tailor made to infuse life into his ageing computers. On Test Lightweight distros here has always been a some text editing, and watch some Linux Lite demand for lightweight videos. These users don’t need URL www.linuxliteos.com Talternatives both for the latest multi-core machines VERSION 2.0 individual apps and for complete loaded with several gigabytes of DESKTOP Xfce distributions. But the recent advent RAM or even a dedicated graphics Does the second version of the distro of feature-rich resource-hungry card. However, chances are their does enough to justify its title? software has reinvigorated efforts hardware isn’t supported by the to put those old, otherwise obsolete latest kernel, which keeps dropping WattOS machines to good use. support for older hardware that is URL www.planetwatt.com For a long time the primary no longer in vogue, such as dial-up VERSION R8 migrators to Linux were people modems. Back in 2012, support DESKTOP LXDE, Mate, Openbox who had fallen prey to the easily for the i386 chip was dropped from Has switching the base distro from exploitable nature of proprietary the kernel and some distros, like Ubuntu to Debian made any difference? operating systems. Of late though CentOS, have gone one step ahead we’re getting a whole new set of and dropped support for the 32-bit SparkyLinux users who come along with their architecture entirely. healthy and functional computers URL www.sparkylinux.org that just can’t power the newer VERSION 3.5 New life DESKTOP LXDE, Mate, Xfce and others release of Windows.
    [Show full text]
  • Installation Minimale De Debian Avec Serveur X Installation Minimale De Debian Avec Serveur X
    27/09/2021 06:52 1/6 Installation minimale de Debian avec serveur X Installation minimale de Debian avec serveur X Objet : Méthode d'installation minimale de Debian Niveau requis : débutant, avisé Commentaires : Il peut être intéressant d'installer les programmes séparément en partant d'un système minimal pour gagner en réactivité, pour avoir un système configuré selon ses besoins ou simplement pour en connaître un peu plus sur le fonctionnement de Debian. Débutant, à savoir : Utiliser GNU/Linux en ligne de commande, tout commence là !. Suivi : Création par smolski le 14/05/2010 Testé par paskal le 26-10-2013 Commentaires sur le forum : Lien vers le forum concernant ce tuto1) Pourquoi ? L'installation par défaut de Debian permet à l'utilisateur d'avoir un système complet et utilisable dès le premier démarrage : bureautique, Internet, jeux, multimédia, infographie… Néanmoins, il peut être intéressant d'installer les programmes séparément en partant d'un système minimal 1. pour gagner en réactivité, 2. pour avoir un système configuré selon ses besoins 3. ou simplement pour en connaître un peu plus sur le fonctionnement de Debian. Pré requis La procédure n'est pas compliquée. Je pars du principe que vous savez effectuer une installation par défaut de Debian de bout en bout et ne reviendrai que très peu sur cette partie. Je vous conseille également d'avoir un peu de bouteille sous Debian ou les systèmes GNU/Linux en général et d'être relativement à l'aise avec le terminal, une partie de l'installation ne se fera pas en mode graphique. Ceci étant dit, allons-y ! Installation du système Debian minimal Le début de la procédure est identique à l'installation par défaut, démarrez sur un CD ou USB netinstall et suivez les instructions.
    [Show full text]
  • Regression Models by Gretl and R Statistical Packages for Data Analysis in Marine Geology Polina Lemenkova
    Regression Models by Gretl and R Statistical Packages for Data Analysis in Marine Geology Polina Lemenkova To cite this version: Polina Lemenkova. Regression Models by Gretl and R Statistical Packages for Data Analysis in Marine Geology. International Journal of Environmental Trends (IJENT), 2019, 3 (1), pp.39 - 59. hal-02163671 HAL Id: hal-02163671 https://hal.archives-ouvertes.fr/hal-02163671 Submitted on 3 Jul 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License International Journal of Environmental Trends (IJENT) 2019: 3 (1),39-59 ISSN: 2602-4160 Research Article REGRESSION MODELS BY GRETL AND R STATISTICAL PACKAGES FOR DATA ANALYSIS IN MARINE GEOLOGY Polina Lemenkova 1* 1 ORCID ID number: 0000-0002-5759-1089. Ocean University of China, College of Marine Geo-sciences. 238 Songling Rd., 266100, Qingdao, Shandong, P. R. C. Tel.: +86-1768-554-1605. Abstract Received 3 May 2018 Gretl and R statistical libraries enables to perform data analysis using various algorithms, modules and functions. The case study of this research consists in geospatial analysis of Accepted the Mariana Trench, a hadal trench located in the Pacific Ocean.
    [Show full text]