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        "description": "\n# SoSciKit\n  ## Social Science Kit - Open Source Software for Social Science\n\n  SoSciKit is a web application for simplified data analysis based on Python scientific libraries and Flask.\n  The web application allows to use the python libraries through a graphical interface even to those who do not know programming language. At the moment the application allows to perform monovariate, bivariate, cross tabulation and k-mean classification operations. In addition, it allows to recode categorical variables and create typologies.\n\n  [![Downloads](https://pepy.tech/badge/soscikit)](https://pepy.tech/project/soscikit)\n  [![Downloads](https://pepy.tech/badge/soscikit/week)](https://pepy.tech/project/soscikit/week)\n\n  ## Installation and dependencies\n  You need a python interpeter installed on PC / Server. \n  You need Python 3 (tested 3.6 - 3.7) to run this package. Other dependencies can be found in the requirements files\n\n  ### Using pip\n\n  You can install using the pip package manager by running\n\n      pip3.x install soscikit\n\n  ## Usage\n\n  You can start SoScikit by running\n\n      python3.x -m soscikit\n\n  it's start server and open your browser on localhost http://127.0.0.1:5555/\n\n\n  ## How to contribute\n\n  The package is actively maintained and developed as open-source software. If SoSciKit was helpful or interesting to you, you might want to get involved. There are several ways of contributing and helping. If you would like to be a industry partner or sponsor, please [drop us a line](mailto:scarselli@gmail.com).\n\n  ## Demo\n\n  You can try a [DEMO](http://soscikit.eu.pythonanywhere.com/)\n\n\n\n",
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