Social Science Kit - Open Source Software for Social Science
Project description
SoSciKit
Social Science Kit - Open Source Software for Social Science
SoSciKit is a web application for simplified data analysis based on Python scientific libraries and Flask. 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.
Installation and dependencies
You need a python interpeter installed on PC / Server. You need Python 3 (tested 3.6 - 3.7) to run this package. Other dependencies can be found in the requirements files
Using pip
You can install using the pip package manager by running
pip3.x install soscikit
Usage
You can start SoScikit by running
python3.x -m soscikit
it's start server and open your browser on localhost http://127.0.0.1:5555/
How to contribute
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.
Demo
You can try a DEMO
Project details
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