Showing 5 open source projects for "customizable"

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  • 1
    TAVIA

    TAVIA

    Open statistics and scientific graphing

    TAVIA is a free and open-source desktop application for statistical analysis, scientific graphing, reproducible workflows, and research project management. It combines editable data tables, statistical tests, regression, dose-response analysis, publication-quality graphs, reports, project history, and reproducibility tools in one workspace. Analyses and graphs remain linked to their source data so results can be refreshed when data changes. TAVIA supports Windows, Linux, and macOS, includes...
    Downloads: 8 This Week
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  • 2

    DataPrep

    Python-based data preprocessing tool

    DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal strategies with customizable parameter setting options.
    Downloads: 1 This Week
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  • 3
    ...Comprehensive reference help is available at http://minimpy.sourceforge.net MinimPy has been fully described in the following article: Saghaei, M. and Saghaei, S. (2011) Implementation of an open-source customizable minimization program for allocation of patients to parallel groups in clinical trials. Journal of Biomedical Science and Engineering, 4, 734-739. doi: 10.4236/jbise.2011.411090. Available at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=8518
    5.0 out of 5 stars 1 Review
    Downloads: 12 This Week
    Last Update:
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  • 4
    zCharter
    Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
    Downloads: 0 This Week
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  • 5
    This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
    Downloads: 0 This Week
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