Search Results for "python data analysis" - Page 25
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Showing 1711 open source projects for "python data analysis"
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PyLogAnalyser
A Python multiplatform tool to filter, colorise and analyse logs
...These rules permit to detect an input line according to a regular expression (regex) or line number range, filter it, pass it, colorise in foreground and background, columnise the groups of the regex and enable or disable the rule. The final goal of this tool is to ameliorate reading long and difficult b/w logs, speed up the analysis and enhance day to day wearying activities. As common application, you can colorise adb logcat logs taking the example files and using them (and also, filter unnecessary lines). You can INSTALL it from PyPI: $ python -m pip install pyloganalyser -
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The MeVisLab Community project provides add-on modules that extend the functionality of the MeVisLab software. The modules are provided and maintained by the MeVisLab developer community and can be compiled with the public MeVisLab SDK.
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The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.g. clustering, classification, graphical models, neural networks, Bayesian networks, text processing, optimization).
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The Dataverse Network is a Java EE5 app that enables researchers to share data on-line. It provides data citation standards, facilitates preservation, distribution and replication of data, and includes statistical analysis. More at: http://thedata.org
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Pheno Analysis is a sequential data assimilation framework for use with prognostic phenology models. It uses MODIS satellite data to constrain model parameters and states.
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A Tool for Retrieval, Visualization and Analysis of biological Pathways. Import a Gene or Protein Set from any Excel file. Automatically find signaling Pathways from KEGG. Integrate your Data in Seconds with a live interactive Force-directed Layout.
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Matlab software for analysis of skin conductance data (SC; viz., electrodermal activity, EDA; galvanic skin response, GSR). Data decomposition and scientific analysis based on deconvolution approach. Various functions via GUI or batch-mode.
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StochPy - Stochastistic modeling in Python - is an easy-to-use package, which provides several stochastic simulation algorithms and unique analysis techniques, which can be used for stochastic simulations of biochemical systems.
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iTag
Tag images using various categories and modifiers
iTag has been designed for researchers that rely on photographic census techniques of animals that are hard to detect via image recognition algorithms and was originally developed for counting Grey Seals in the German wadden sea during March 2013. It has since then been further expanded and has now reached beta status. iTag allows Users to define up to 9 different categories and name them accordingly. In addition, 4 modifiers are available to further increase the options during a tagging... -
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Based on PyQwt (plotting widgets for PyQt4 graphical user interfaces) and on the scientific modules NumPy and SciPy, guiqwt is a Python library providing efficient 2D data-plotting features (curve/image visualization and related tools) for interactiv
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Reconcile: Web Credibility Evaluation
Robust online credibility evaluation of web content
The goal of the project is the creation of new mechanisms for supporting users in the evaluation of Web content credibility and improvement of the quality of Web content credibility evaluation. Our society increasingly relies on the vast amount of information available on the Internet. As a consequence, the issue of judging or evaluating the credibility of this information becomes of crucial importance. Thus, algorithms and mechanisms for the assessment of credibility of Web content can... -
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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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TinkerCell is a software for synthetic biology. The visual interface allows users to design networks using various biological "parts". Models can include modules and multiple cells. Users can program new functions using C or Python. www.tinkercell.
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FMFilter
Fast Model Based Variant Filtering Tool
Filtering out the prominent portion through the excessive amount of information produced by next generation techniques is a challenging task. Current tools enable to analyze next generation sequencing data in various methods. However, there is still need for fast, easy to use and efficacious tools. We provide an efficient filtering tool for next generation sequencing data produced by genetic disease studies. FMFilter allows to choose one of the inheritance models (recessive, dominant,... -
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GenoSuite is a framework developed for proteogenomic analysis. An updated GenoSuite2 is just released where FDRScore (Jones et al. Proteomics 2009) based strategy is used to integrate results from multiple search algorithms. Prokaryotic Proteogenomic Tool(PPT) is developed as a part of GenoSuite framework. PPT is for finding novel translations in prokaryotic genomes and is dependent on Mass Spectrometry based proteomics data and related genome sequence.
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Universal Java Matrix Package
sparse and dense matrix, linear algebra, visualization, big data
The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large... -
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EXMARaLDA stands for "Extensible Markup Language for Discourse Annotation". It's a system of concepts, data formats and tools for the computer assisted transcription and annotation of spoken language, and the analysis of spoken language corpora. This project's source code has moved to https://github.com/Exmaralda-Org/exmaralda
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LDhat
Estimate Recombination Rates from Population Genetic Data
LDhat is a package written in the C language for the analysis of recombination rates from population genetic data. This package has migrated to github: https://github.com/auton1/LDhat -
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BioImageXD - free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.
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A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others * a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data). * a Leica file reader, * Steindhard bond orientational order calculation * a VTK file writer 1.
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PyTRiP
Python bindings and GUI for TRiP98
A python class and GUI for visualization of data generated by the medical treatment planning software TRiP. Project has been moved to http://github.com/pytrip/pytrip on 15.06.2016 -
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LightProfiler
Profiler for Oracle extended SQL trace files
LightProfiler – application for performance analysis of the Oracle databases. It generates detailed resource profile for extended SQL trace files (10046 event), containing information about consuming of response time (by events, by cursors, etc.), data files usage, error analysis (SQL, PL/SQL) and much more. Also it contain tools for additional processing of trace files (extract session data, splitting files) and for management of database's sessions (disconnecting, tracing, monitor parameters, blocking locks, events and etc.) -
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NetView P
Population Genomics Network Analysis Pipeline
NetView P has been re-structured as a package for R and moved to GitHub: https://github.com/esteinig/netview -
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QuickNXS
Polarized ToF reflectivity raw data analysis tool
Data evaluation tool for the magnetism reflectometer at the spallation neutron source (BL-4A@SNS). Reads raw nexus files (HDF5) of histogrammed or event mode data to create reflectivity curves and 2D Q-maps. -
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A More Accurate Fourier Transform
Computes Accurate Fourier Transform via Explicit Integration not FFT
Fourier transform methods are used to analyze functions and data sets to provide frequencies, amplitudes, and phases of underlying oscillatory components. Fast Fourier transform (FFT) methods offer speed advantages over evaluation of explicit integrals (EI) that define Fourier transforms. It has been shown recently that EI methods can be more accurate than FFT methods (Courtney and Courtney, A More Accurate Fourier Transform) for scientific data analysis and that EI methods can be implemented in reasonable times with modern computing power. ...
