Showing 9 open source projects for "genstat statistical software"

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  • 1
    plotly.js

    plotly.js

    JavaScript charting library behind Plotly and Dash

    Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json. This adds Browserify transform...
    Downloads: 2 This Week
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  • 2
    F2

    F2

    An elegant, interactive and flexible charting library for mobile

    F2 is an out-of-the-box visualization engine focused on the mobile terminal, oriented to conventional statistical charts, perfectly supporting the H5 environment and compatible with multiple environments (Node, applet), complete graphics grammar theory, to meet your various visualization needs , professional mobile design guidelines to bring you the best mobile graphics experience. Best practices for moving side charts around design, performance and heterogeneous environments. Based on the...
    Downloads: 1 This Week
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  • 3
    awesome-single-cell

    awesome-single-cell

    Community-curated list of software packages and data resources

    Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data.
    Downloads: 0 This Week
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  • 4
    sadsa

    sadsa

    SADSA (Software Application for Data Science and Analytics)

    SADSA (Software Application for Data Science and Analytics) is a Python-based desktop application designed to simplify statistical analysis, machine learning, and data visualization for students, researchers, and data professionals. Built using Python for the GUI, SADSA provides a menu-driven interface for handling datasets, applying transformations, running advanced statistical tests, machine learning algorithms, and generating insightful plots — all without writing code.
    Downloads: 0 This Week
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  • 5
    Bootstrap.jl

    Bootstrap.jl

    Statistical bootstrapping library for Julia

    Bootstrapping is a widely applicable technique for statistical estimation.
    Downloads: 0 This Week
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  • 6
    AlphaPlot

    AlphaPlot

    Interactive scientific graphing and data analysis software.

    Alpha Plot can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas. The data is held in spreadsheets which are referred to as tables with column-based data (typically X and Y values for 2D plots) or matrices (for 3D plots). The spreadsheets as well as graphs and note windows are gathered in a project and can be organized using folders. The built-in...
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    Downloads: 41 This Week
    Last Update:
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  • 7

    Waterloo

    Java-based scientific graphics

    Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.
    Downloads: 0 This Week
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  • 8
    Free Java monitoring library to easily instrument apps to measure performance detail over time with minimal overhead. Has dashboard, SVG graphs. Extends Jamon and its statistical data, same usage. http://www.e-peas.com/opensla/. JMX, SNMP planned.
    Downloads: 0 This Week
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  • 9
    TM4 is a suite of applications for managing and analyzing microarray data. TM4 provides data storage and tracking, image analysis, normalization, data filtering, clustering and statistical analysis capabilities. Includes MADAM, Spotfinder, MIDAS, and MeV.
    Downloads: 0 This Week
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