Showing 481 open source projects for "data science"

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  • 1
    PAScual is a data analysis suite for Positron Annihilation Lifetime Spectroscopy (PALS).
    Downloads: 0 This Week
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  • 2
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  • 3

    Leave A Trace Tools

    Tools for reading the track data of the project "Leave a Trace"

    The art project "Leave a Trace" (LAT) records an displays people movement in real time. It is installed as a permanent exhibition within the Charité in Berlin, Germany. Please find more Details about LAT here: https://leave-a-trace.charite.de/action This sourceforge project provides python tools to read the raw XML data produced by LAT. The data reading module works with python2 and python3. LAT XML Data can be downloaded...
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  • 4

    P3BSseq

    Parallel processing pipeline for analysis of bisulfite sequencing data

    Bisulfite sequencing (BSseq) processing is among the most cumbersome next generation sequencing (NGS) applications. Though some BSseq processing tools are available, they are scattered, require puzzling parameters and are running-time and memory-usage demanding. We have developed P3BSseq, a parallel processing pipeline for fast, accurate and automatic analysis of BSseq reads that trims, aligns, annotates, records the intermediate results, performs bisulfite conversion quality assessment,...
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  • 5
    PyVib2 is a program for analyzing vibrational motion and vibrational spectra. It is an open source "all-in-one" solution for scientists working in the field of vibrational spectroscopy (Raman and IR) and vibrational optical activity (ROA and VCD).
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  • 6

    MerDAQ

    A DAQ solution in Python 2 for your Ardruino

    MerDAQ is a data acquisition GUI and other tools for collecting and storing time dependent. Originally designed to collect 4 temperature data vs. time and plot one of the temperatures in real time with matplotlib. Ideal for use with Arduino.
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  • 7

    BioC

    We describe a simple XML format to share text documents and annotation

    A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are...
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    Downloads: 3 This Week
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  • 8
    LOOS

    LOOS

    Analyze molecular simulation data

    LOOS is a light-weight object oriented software library for creating new tools for analyzing molecular simulation data, written in C++. The main design goal is to allow casual programmers to easily implement new analysis methods. THIS PAGE IS NO LONGER UPDATED. Please see https://github.com/GrossfieldLab/loos for all recent developments
    Downloads: 2 This Week
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  • 9
    2DFLT

    2DFLT

    Program for Normalization, Averaging and Editing of In Situ Data Sets

    2DFLT it is first out of two programs which allows implementation of Phase Sensitive Detection (PSD) and/or Modulated Enhanced Diffraction (MED) techniques on the in situ data. This software allows collecting individual data files from in situ experiment into one dataset. After that this data set can be visualized, edited, normalized and averaged. Resulted data can be saved as one flat file (FLT-format) which can be used for PSD/MED calculations via 2DMED software...
    Downloads: 0 This Week
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  • 10

    Pyclamp

    A Python package used to extract and analyse electrophysiological data

    Pyclamp is Python package used to extract and analyse electrophysiological data. A graphical user interface has been developed to allow a user to run the pack- age without requiring any knowledge of Python code. Presently, Pyclamp is designed to perform very specific forms of analysis on evoked synaptic responses: Data analysis (under development) : This is a highly user-interactive en-vironment that can be used to discriminate synaptic events, obtain various measures of their kinetics...
    Downloads: 0 This Week
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  • 11
    orbkit (Moved to Github)

    orbkit (Moved to Github)

    A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum

    PLEASE NOTE ORBKIT HAS BEEN MOVED TO https://github.com/orbkit/orbkit orbkit is a parallel Python program package for post-processing wave function data extracted from output files of MOLPRO (Molden File Format), TURBOMOLE (AOMix file format), GAMESS-US, PROAIMS/AIMPAC (wfn/wfx file format), and Gaussian (Output File and Formatted Checkpoint File) output files. Futhermore, an interface to cclib, a parser for quantum chemical logfiles, is provided. If you use orbkit in your work,...
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  • 12
    RDKit

    RDKit

    Open-Source Cheminformatics and Machine Learning

    A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and...
    Downloads: 9 This Week
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  • 13

    Py3DN

    Morphometric analysis and visualization of the 3D structure of neurons

    Py3DN, is an open-source solution providing innovative tools to analyze 3D data collected with the widely used commercial system Neurolucida (MBF). It allows the construction of mathematical representations of neuronal topology, visualization and a variety of morphometric analysis on the neuronal structures. Above all, it provides a flexible environment where new types of analyses can be easily set up allowing total freedom to test new hypotheses. The application was developed in Python and...
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  • 14
    Modular toolkit for Data Processing MDP
    The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The...
    Downloads: 5 This Week
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  • 15
    Copy Number Analysis for Targeted Resequencing (CONTRA) is a tool for copy number variation (CNV) detection for targeted resequencing data such as those from whole-exome capture data.
    Downloads: 1 This Week
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  • 16

    HTSeq

    Analysing high-throughput sequencing data with Python

    This SourceForge page is outdated! HTSeq has been moved to github: https://github.com/simon-anders/htseq General information and documentation on HTSeq; http://www-huber.embl.de/users/anders/HTSeq
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  • 17
    ChannelFinder Directory Service
    Generic directory service (for the EPICS tool set). Directory entries are channels with properties and tags. Applications can query a web service to retrieve channels based on wildcard matching on properties and tags, and manipulate the directory data. Code has been moved to GitHub at https://github.com/ChannelFinder
    Downloads: 0 This Week
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  • 18
    **we moved to github** https://github.com/gimli-org/gimli Geophysical Inversion and Modeling Library
    Downloads: 0 This Week
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  • 19
    RoiView
    Explore InSAR data and more
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  • 20
    iMSAT
    iMSAT represents a full update of the vcf2MSAT program. This command line python program allows for a user to use the polymorphism data generated using SAM- and BAM-tools and a .fasta alignment file to search for polymorphic microsatellite markers (MSATs or STRs). By identifying polymorphic makers, rather than simple repeat regions as previous programs have done, iMSAT greatly increases the speed at which polymorphic MSATs that can be identified -- saving researchers precious time and...
    Downloads: 0 This Week
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  • 21
    PyRadmon Reborn

    PyRadmon Reborn

    PyRadmon, a Python script to use on both Linux and Windows.

    PyRadmon Reborn. This project started after the original programmers quit supporting it. The project now contains support for audio*, has a version that supports two Geiger counters** and a cleaner, more stable code. * = PyAudio is used as library for the audio support. ** = The two counters both run in their own thread. UPDATE-2015-2: * Added timeouts to sockets to prevent crashing of the script. * Updated some comments. UPDATE-2015-1: Since there have been some passed time...
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  • 22
    SciEnPlot

    SciEnPlot

    Data Plotting and Analysis for Science and Engineering

    - Save and open a Work/Project (spf) file - Single fitting/ Batch fitting (user defined custom func) - Matrix to XYZ in Tool menu - Symbol plot: makers, curve, landscape, bar, etc. - Implemented a 3d surface plot (GLSurface) based on OpenGL (ScienPlot v1.3.2 and above) - ColorMap surface, trisurface, Pie, Polar plots, and 3D height field, 3dBar, scatter plots (under developing), and more - Column by column plotting/calculation - LaTex commands enclosed by $ symbols can be used for...
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    Downloads: 3 This Week
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  • 23
    pyQPCR
    pyQPCR is a GUI application written in python that deals with quantitative PCR (QPCR) raw data. Using quantification cycle values extracted from QPCR instruments, it uses a proven and universally applicable model to give finalized quantification resu
    Downloads: 0 This Week
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  • 24
    Analysis software for Nbody/SPH or SPH simulations (e.g. performed with Gadget II). See http://sourceforge.net/apps/wordpress/hyplot/about and http://sourceforge.net/apps/trac/hyplot/wiki for more information.
    Downloads: 1 This Week
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  • 25
    ExSTraCS

    ExSTraCS

    Extended Supervised Tracking and Classifying System

    This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ExSTraCS was primarily developed...
    Downloads: 0 This Week
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