Showing 989 open source projects for "python data analysis"

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  • 1
    CAPLET

    CAPLET

    GDS visualization and parallelized capacitance extraction

    Project CAPLET is a capacitance extraction toolkit that extract capacitance at field-solver accuracy. CAPLET can directly handle GDS2 layout files into capacitance matrices in both GUI and command line interfaces. The internal extraction algorithm is specialized for VLSI interconnect structures but not exclusively, as long as the structure is of Manhattan geometry and embedded in a uniform dielectric material.
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  • 2
    PyPak is a Python library for communication with Campbell Scientific dataloggers through the PakBus interface over TCP/IP or serial lines.
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  • 3
    Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
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  • 4

    Webapp

    A web interface to the SnowyOwl gene prediction pipeline

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  • 5
    SZARP is a full-featured, open source (GPL) SCADA system for Linux. Client programs are available for Linux and Windows.
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  • 6
    AutoFlight

    AutoFlight

    AutoFlight is a powerful, open source AR.Drone control program.

    AutoFlight features AR.Drone control with a gamepad or joystick, sensor data logging, 3d mapping, Python scripting to automate the drone's behavior and Arduino extensions.
    Downloads: 1 This Week
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  • 7
    Constrained Manipulation Planning Suite

    Constrained Manipulation Planning Suite

    openrave plugins for constrained manipulation

    The Constrained Manipulation Planning Suite (CoMPS) consists of three openrave plugins and associated data files. The planning and inverse kinematics algorithms in this suite are designed for articulated robots like robotic arms and humanoids. CoMPS is implemented in C++ and compiles in linux only. There are also several examples in python and matlab that show how to interface with openrave to use the plugins in CoMPS. It has been tested on all Ubuntu version from the last few years and will probably work with most modern linux distributions. ...
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  • 8

    pyMdfParser

    Parser for measurement data in mdf format

    Python implementation of a mdf file reader Aim of the project is to implement a parser that can be used in Python based application which work on mdf data. MDF means Measure Data Format and is a binary format for measurement in the automaitve area
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  • 9
    A High-Order Multi-Variate Approximation Scheme for Arbitrary Data Sets, C implementation of the method described in http://web.mit.edu/qiqi/www/paper/interpolation.pdf, with Python and Fortran interfaces.
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  • 10
    WindMeasuring
    WindMeasuring is a handy and easy to use application designed to record data from Thies Clima ultrasonic anemometers. WindMeasuring displays information about the wind speed, direction and the virtual temperature. It features data logging of the saved data and uses COM port connections.
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  • 11

    SLiMScape

    A Protein Short Linear Motif Analysis Plugin for Cytoscape

    SLiMScape adds Short linear motif discovery tools to Cytoscape, transforming it into a SLiM discovery platform. A tutorial is available at the following URL: http://bioware.ucd.ie/slimscape/
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  • 12
    IMPORTANT: The project moved over to github! You can find it at: https://github.com/exhuma/python-cluster
    Downloads: 2 This Week
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  • 13

    hrefinder

    Detection of homologous recombination events from SNP data

    This software detects homologous recombination events (HREs) from SNP data. Based on SNP alleles calls and locations, it breaks the genomes into locally colinear blocks, and looks for cases where SNPs do not agree with the vertical pattern of inheritance in a phylogeny. It applies a dynamic programming algorithm to model whether changes within a block are likely a result of mutations, sequencing errors, or HRE. We use information from the nearby SNPs, so that if 1-2 alleles in a series of...
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  • 14
    A collection of pure Python algorithms and data structures
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  • 15

    ReferenceFree

    Scripts for reference free genomic analysis

    These are Python scripts plus C/C++ programs for automating the reference free genomic analysis described in: Kua C-S, Ruan J, Harting J, Ye C-X, Helmus MR, et al. (2012) Reference-Free Comparative Genomics of 174 Chloroplasts. PLoS One 7(11). http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0048995 Analytical concept conceived by CHCannon and CSKua.
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  • 16
    MyNook

    MyNook

    A machine learning system for supervised document classification

    An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself.
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  • 17
    The Python Unified Membrane Analysis Toolkit is a suite of python tools for analyzing molecular dynamics simulations of membranes.
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  • 18
    Open-source weather database system for storage of weather/water observations, forecasts, analysis fields, and hindcasts. includes loading program for GRIB files. Visit project website (http://wdb.met.no) for further information. Please note: this project has now moved to http://wdb.met.no
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  • 19
    sigrok
    The sigrok project aims at creating a portable, cross-platform, Free/Libre/Open-Source signal analysis software suite that supports various device types, such as logic analyzers, MSOs, oscilloscopes, multimeters, LCR meters, sound level meters, thermometers, anemometers, light meters, dataloggers, function generators, power supplies, GPIB interfaces, and more.
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  • 20
    gbview
    is a interactive molecular visualisation program designed especially designed for coarse-grained simulation of non-spherical particles. Ellipsoids (Gay-Berne), disks, and custom shaped uniaxial particle (e.g. pear-shaped particles) can be represented.
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  • 21

    crosscenter

    Program to compute cross center

    Assisted program to compute the center of a cross in an image. It is based in python and opencv. Main target is massive data processing. Developed for my Ph.D.
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  • 22
    ReadWrapper is a Python toolset to prepare and package raw sequencing data ("reads") for submission to the Sequence Read Archive (SRA, http://trace.ncbi.nlm.nih.gov/Traces/sra/).
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  • 23

    AMBIENT

    Find active modules in metabolic networks using high-throughput data

    ...If you wish to use the version used in the paper it is v0.6.3, however I recommend using the latest version which works in the same way but with additional options and has stability and performance improvements. Thanks for your interest! AMBIENT (Active Modules for Bipartite Networks) is a Python module that uses simulated annealing to find areas of a metabolic network (modules) that have some consistent characteristic. AMBIENT does not require predefined pathways and gives highly specific predictions of affected areas of metabolism. For example, scores for reactions based on transcriptional data of their annotated encoding genes can be used in the network and modules of coordinated expression changes can be found. ...
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  • 24

    ARDEN

    Specificity Control for Read Alignments Using an Artificial Reference

    We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation.
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  • 25

    dAnalytics

    dAnalytics is a software made for education in discriminant analysis.

    dAnalytics is a software made for educational purposes to work with discriminant analysis. It's a very simple calculator over bi-dimensional populations. You input a file with two columns (one for each variable) and tryout different separations of populations (blue and red) and analyze it's efficiency by observing the eigen value result for the attempted separation. It also gives many information about the statistics both of the input and the separated populations. There's a documentation...
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