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  • 1
    seaborn

    seaborn

    Statistical data visualization in Python

    Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots.
    Downloads: 9 This Week
    Last Update:
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  • 2
    LabPlot

    LabPlot

    Data Visualization and Analysis

    LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
    4 Reviews
    Downloads: 42 This Week
    Last Update:
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  • 3

    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...
    Downloads: 0 This Week
    Last Update:
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  • 4
    zCharter
    Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
    Downloads: 1 This Week
    Last Update:
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  • 5
    SciEnPlot

    SciEnPlot

    Data Plotting and Analysis for Science and Engineering

    ... - 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 the labels in Graph - Accept txt(Text) and csv(Comma separated values) formatted data - Save, copy, print Graph - Use spread sheets to display data - Textboard to organize the results - Graphs in a publishable quality - Source codes based on: Python Numpy Scipy Matplotlib WxPython Visvis etc...
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    2 Reviews
    Downloads: 3 This Week
    Last Update:
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