Search Results for "python data analysis" - Page 11
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Showing 315 open source projects for "python data analysis"
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VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.
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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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BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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LaCor is intended for physical data analysis in High Energy Physics field. It was originally designed to aid in lambda hyperon correlations research in the Selex@FNAL experiment, but it should be useful for similar studies.
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GODASM is the brief of ".Gff Organized Data Analysis System for Microarray Studies". Private programs, GODA system, had been successful developed in 2008 at CGMH,Taiwan. Now the project will transfer GODAs to open-source based system.
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pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.
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Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming
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The Physics eXtension Library (PXL) is a C++ toolkit for fourvector analysis and hypothesis evolution in high energy physics data analysis.
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Ginkgo is a spotted microarray data pre-processing platform featuring analysis functionalities for CGH and expression data. [Pathogen Functional Genomics Resource Center (PFGRC) @ J. Craig Venter Institute (JCVI)]
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Logbus-ng consists in a set of tools to aid developers perform Log Analysis in all the stages: log generation, collection, distribution, storage and analysis. It is designed specifically for Field Failure Data Analysis in critical distributed systems
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Open Source Development of (SmartGrid) Data Analysis Platform based on OpenPDC and Cloud Computing Technology. * Source Codes - http://nephee.sourceforge.net, Main Project (Info, Planning, News) , http://nephee.or.kr, http://twitter.com/nepheer
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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.
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The EDAM ENCHILADA - The Exploratory Data Analysis and Management Project's Environmental Chemistry Data Processing and Mining Application.
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A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
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ViVA is a desktop package for interactive visualization and visual data analysis. It offers twenty linked visualizations and a library of 250 math functions, which can be used to create new variables or transformations "on-the-fly".
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GmanDA is a GPL software for performing qualitative data analysis on mailing-lists and mboxes. It was developed to ease the work with large scale mailing-list archives taken from Gmane.org
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Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.
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LeafAnalyser has been developed as a fast throughput leaf shape analysis application. It contains features such as automated image processing, data analysis and interactive 2D/3D graphs.
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While resting-state fMRI is drawing more and more attention, there has not been a software for its data analysis. Based on MATLAB, we developed a package named REST. Currently REST has three main functions: function connectivity, ReHo and ALFF.
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