Showing 9 open source projects for "mining software linux"

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  • 1

    Waterloo

    Java-based scientific graphics

    Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.
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    Downloads: 0 This Week
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  • 2
    TOPS_CeMM

    TOPS_CeMM

    User Friendly Data Analysis Tool for Interaction Data

    TOPS provides the benchtop scientist with a free toolset to analyze, filter and visualize data from functional genomic gene-gene and gene-drug interaction screens with a flexible interface to accommodate various different technologies and analysis algorithms in addition to those already provided here.
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  • 3
    EnvStats

    EnvStats

    An R Package for Environmental Statistics

    EnvStats is an R package for environmental statistics. It is the open-source successor to the commercial module for S-Plus© called "EnvironmentalStats for S-Plus", which was first released in April, 1997. The EnvStats package, along with the R software environment, provides comprehensive and powerful software for environmental data analysis. EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package,...
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  • 4
    Vendémiaire_1
    Yet Another Data Mining Platform
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  • 5
    The Vyper Dynamic Server framework is a pure-java library for use in the creation of backend / server platforms. VDS is specifically tailored for financial applications, and suited for many high-throughput, asynchronous and distributed environments.
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  • 6
    MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.
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  • 7
    Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.
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  • 8
    Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
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  • 9
    RGnome is a gtk based frontend for GNU R, which is a widely used language for statistical computing. It features a fully working R console and an editor with syntax highlighting.
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