Search Results for "big data visualization" - Page 3
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Showing 91 open source projects for "big data visualization"
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A shell for using the methods of Contextual Logic to do qualitative data analysis, mathematical research on the theory underlying Conceptual Knowledge Processing, or learning Formal Concept Analysis. It uses the framework provided by the Tockit project..
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LithoGraphX
LithoGraphX, 3D data analysis and visualization
LithoGraphX is an open source software for scientists, by scientists. It aims at providing the plant science community with a solid, open, community developed, software for 3D data analysis and visualization. LithoGraphX is a fork of the MorphoGraphX project. -
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Canvas-2DGC
A user-extensible Freemat based 1DGC and GCxGC data analysis software.
Canvas-2DGC is a user-extensible, Freemat based 1DGC and comprehensive 2DGC (GCxGC) data visualization and processing software. GCxGC-MS data analysis is supported for Agilent GCMS data format. The first goal of this project is to provide a highly intelligent analytical tool for reducing a complex chromatographic data analysis, either 1D or 2D, to just a few simple and intuitive steps. The second goal is to provide a fast and practical way of customizing or extending functionalities by ordinary users through high-level Freemat scripting. ... -
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DSTK - DataScience ToolKit
DSTK - DataScience ToolKit for All of Us
...Of course you may specify JASP for advanced data editing and RapidMiner for advanced prediction modeling. DSTK is written in C#, Java and Python to interface with R, NLTK, and Weka. It can be expanded with plugins using R Scripts. We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy. -
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hdxworkbench
HD Exchange Data analysis
HDX WORKBENCH IS AN INTEGRATED SOFTWARE PLATFORM DESIGNED SPECIFICALLY TO ENHANCE THE ANALYSIS OF HYDROGEN/DEUTERIUM EXCHANGE (HDX) MASS SPECTROMETRY DATA. BUILDING UPON THE EXPERIENCE FROM DEVELOPMENT OF THE DEUTERATOR AND HD DESKTOP, IT INTEGRATES TOOLS FOR DATA EXTRACTION WITH VISUALIZATION COMPONENTS WITHIN A SINGLE DESKTOP APPLICATION. THE SOFTWARE HAS BEEN DESIGNED TO BE A COMPREHENSIVE SOLUTION, AND EMPHASIS WAS PLACED ON ACHIEVING THREE MAIN GOALS OF INCREASED ANALYSIS SPEED; USER-FRIENDLY GRAPHIC INTERFACE; AND STRONG SUPPORT FOR LARGE HDX DATA SETS. ... -
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QuickRNASeq
A pipeline for large scale RNA-seq data analysis
...Our pipeline significantly lifts large-scale RNA-seq data analysis to the next level of automation and visualization. Please take a look at our test run project report and get a taste of its rich interactive visualization features. http://baohongz.github.io/QuickRNASeq QuickRNASeq user guide can be downloaded or is accessible online as well http://baohongz.github.io/QuickRNASeq/guide.html For more on QuickRNASeq, please see our paper http://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-015-2356-9 Enjoy QuickRNASeq -
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Random Bits Regression
Random Bits Regression is a strong general predictor.
...The fast-speed nature of our method not only allows big data analysis but also enables real-time recognition and predictions. The RBR framework also hints the mechanism of brain function and leads to a "wide learning" hypothesis. We believe that this method will make a great impact and enable many downstream applications. -
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MS2Browser
LC-MS/MS data browser designed for siderophore analysis
MS2Browser is a tool for interactive pre-processing, analysis and visualization of LC-MS/MS data. Input is an mzXML file with centroided LC-MS/MS data. The program is written in MatLab and it was designed for the analysis of siderophores (iron transporting small molecules) in bacterial media. Some of the functionality and use of MS2Browser is described as part as an open-access book chapter: http://www.intechopen.com/books/applications-from-engineering-with-matlab-concepts/small-molecule-lc-ms-ms-fragmentation-data-analysis-and-application-to-siderophore-identification A siderophore structural database assembled for this project can be found alongside the MS2Browser software (.cfw format to be used with ChemBioFinder(TM) ). ... -
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XL Toolbox
Data analysis and visualization for Excel, for free
XL Toolbox is a free Excel statistics addin that helps analyzing and presenting data: Smart custom error bars, chart design, chart export to TIFF; formula builder, transpose wizard, analysis of variance (ANOVA); automatic backups, workbook management and more. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-... -
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UV-CDAT
Ultrascale Visualization Climate Data Analysis Tools
Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT), is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for climate-data analysis problems. -
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Python(x, y)
Scientific-oriented Python Distribution based on Qt and Spyder
Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and Spyder interactive scientific development environment. -
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This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
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SCaVis
Scientific Computation and Visualization Environment
SCaVis is an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. ... -
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TeachingDemos
Bioinformatics related demos and tutorials using the R programming lan
Bioinformatics related demos and tutorials using the R programming language for large biological data. Licence: Creative Commons Attribution-NonCommercial 4.0 International License -
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Grid3D Toolbox
3D grid toolbox for analysis of molecular simulations
"Grid3D Toolbox" is a set of command line tools for visualization and analysis of the results of molecular simulations based on 3-dimensional density maps (grids). Currently, the tools only work with the simulation trajectories generated by the GROMACS simulation package (http://www.gromacs.org/). The generated density maps are saved in the Grid3D native .g3d format and can be visualized using a third party data visualization software. -
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xSonify
Java-based sonification data analysis
xSonify is a Java-based sonification data analysis prototype for displaying science data as sounds, with an emphasis on supporting visually-impaired researchers. Alternatives include Sonification Sandbox <http://sonify.psych.gatech.edu/research/>, MathTrax and Earth Plus <http://prime.jsc.nasa.gov/>, Sonifyer <http://www.sonifyer.org> and SoniPy <http://sourceforge.net/projects/sonipy/>. More at the main forum for sonification, ICAD <http://icad.org> -
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MoDAVE aims at providing data analysis and visualization extensions to Mosaic datasets, including cubed sphere data, to the Climate Data Analysis Tools (CDATA) in particular.
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jHepWork
jHepWork was a name of the DataMelt program in 2005-20013
jHepWork (2005-2013) was an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with the Jython (Python) scripting language. Currently the project is known under the name DataMelt (https://datamelt.org) -
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R Hadoop for Big Data
Download Free Associated R open source script files for big data analy
Download Free Associated R open source script files for big data analysis with Hadoop and R These are R script source file from Ram Venkat from a past Meetup we did at http://www.meetup.com/R-Matlab-Users/events/85160532/ Also, there is a long video and Powerpoint presentation slide PDF with R files at: http://quantlabs.net/blog/2012/11/how-to-use-hadoop-and-r-for-big-data-parallel-processing-free-download-pdf/ Download source files from http://quantlabs.net/blog/2012/11/download-free-associated-r-open-source-script-files-for-big-data-analysis-with-hadoop-and-r-rstats-hadoop/ -
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EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.
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rvis
Genomic rearrangement evidence data analysis and visualization program
Genomic rearrangement evidence data analysis and visualization program -
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The repository has been moved to: https://github.com/wojdyr/fityk. Fityk is nonlinear curve-fitting and data analysis software. It is specialized in fitting peaks (bell-shaped functions like Gaussian, Loretzian, Pearson7, Voigt) to experimental data.
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A MATLAB-based software package for microbiological research designed to detect and outline bacterial cells in microscopy images and to analyze fluorescence signal inside them.
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DbViz produces plots of data contained in MySQL databases. Data can be viewed by looking at line graphs, xy scatter plots, and bar graphs. This greatly simplifies data analysis.