Showing 6 open source projects for "python 2"

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  • 1
    Sweetviz

    Sweetviz

    Visualize and compare datasets, target values and associations

    Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Output is a fully self-contained HTML application. The system is built around quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks.
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  • 2
    Wooey

    Wooey

    A Django app that creates automatic web UIs for Python scripts

    Wooey is a simple web interface to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data analysis, file processing, or anything else. The project was inspired by how simply and powerfully sandman could expose users to a database and by how Gooey turns ArgumentParser-based command-line scripts into WxWidgets GUIs. Originally two separate projects (Django-based djangui by Chris Mitchell and Flask-based Wooey by Martin Fitzpatrick) it has been merged to combine our efforts. ...
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  • 3

    PRADA

    PRADA : Pipeline for RNA-Sequencing Data Analysis

    Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify...
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  • 4

    PythonStatsLab

    A collection of useful statistical functions written in Python

    There are functions for numerical integration of the standard normal probability distribution. They can be used to find probabilities, find z-alpha values, calculate confidence interval, etc. New functionality I wish to add are hypothesis testing and calculation of p-value, type I & II errors, etc. These functions would come in handy to anyone taking introductory or intermediate-level courses in probability, statistics and data analysis. There are several numerical integration techniques...
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  • 5
    pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.
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  • 6
    A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
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