Open Source Python Social sciences Software

IRAMUTEQ : Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires. Logiciel de traitement de données pour des corpus texte ou de type individus/caractères. Permet notamment de réaliser des analyses de type "ALCESTE"

Gramps is a genealogy program for Linux, Windows, Mac, and FreeBSD that allows you to easily build and keep track of your family tree. It supports the GEDCOM standard, allows fine grained privacy controls and can generate many different types of reports (descendant trees, graphs, connection diagrams, ....)

The Campaign Simulator is an attempt to statistically model and predict the outcome of an American presidential election; several users assume the roles of competitive candidates and inflict the repercussions of certain decisions on a GSS based dataset.

NAVAL-SEM is a fully offline desktop application for PLS-SEM and CB-SEM research. Designed for researchers, PhD scholars, professors, and analysts, NAVAL-SEM provides visual model building, bootstrapping, HTMT, fit indices, mediation analysis, MGA, and export support without requiring cloud access or subscriptions. Key features include: • PLS-SEM and covariance-based SEM • Visual drag-and-drop model builder • Bootstrapping and mediation analysis • HTMT, AVE, CR, Cronbach’s Alpha • Multi-group analysis (MGA) • R/Python/Lavaan export • Fully offline execution for sensitive datasets Available for Windows, macOS, and Linux.

psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.

A WISIWIG pedigree tree editor written on python. Jeneo allow you to create your pedigree tree visually, add pedigree links (child) and (i need that feature first off all - in fact that is why a i've written this app) add photos to your relatives. Jeneo home page has moved to bitbucket. Please visit jeneo wiki at https://bitbucket.org/legeyda/jeneo/wiki/jeneo.en.

Condict is a cross-platform GUI program for creating dictionaries.

The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu). NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.

Mehrauli is a surrealist narrative-driven walking simulator set on a deserted, fictitious island of the same name. The player has stumbled upon the island. On the way, the player finds a trail of cassette tapes lying around that tell the story of a previous inhabitant on the island. He was a man who spent his childhood in the Mehrauli neighbourhood of South West Delhi. The man had stolen some of the neglected monuments from Mehrauli and brought them to the island, with the intention to turn the island into a theme park of some sort. However, as time went by, the man slowly lost interest in his work and left the place. What happened to the man remains shrouded in mystery, as the player reaches the end. This is the source file for all the assets of the game. Anyone is free to use the assets to modify to adjust the game, but not for any commercial purpose.

QBIQ is a text archiving and exploring tool as used in qualitative sociology. Texts can be marked by variables and parts of texts by "codewords". Information can be retrieved using logical expressions of the codewords and variables.

The program can read a text file and count the occurrences of single words and clusters of 2 and 3 words. The resulting list will be sorted in descending order (highest frequency on top).

Python and pygame cross platform program to exercise the brain with the intention of enhancing useful field of view, also known as speed of responsiveness. This yields benefits in driving, motility, and even depressive symptoms, as described in research papers of randomized, double blind trials. Whether ufov exercise the brain to yield those benefits is unknown, since there are no research studies using it. The research is conducted with a commercial product that I have not seen or used. I used the description of what useful field of view is supposed to do to create this program for experimental purposes. I notice personal changes from using the program, but that is only anecdotal evidence. I was especially struck by the research that found a significant decrease in dementia for those who used such a program to exercise their brain. For a full description of the program, and links to some information about useful field of view, see the project web page.

Workbench for easier and faster transcription of information from the 1901 Canadian Census into machine-readable form

AmCAT (Amsterdam Content Analysis Toolkit) provides a framework for large scale automatic, semi-automatic or manual content analysis based on DB-stored digital texts and annotations and console and web-based user interface to (pre)processing scripts

Askarand is an online survey tool. Users can easily create and manage surveys through a web-based interface. Askarand aims to meet the needs of the scientific community for a feature-rich, free survey tool.

Blogfish - natural selection for your memes. Blogfish is a Gnome panel applet that enables you to find the newest and coolest stuff on the web, via some tiny fish. No bait required.

Bluesfield: An experimental distributed computing platform for the support of grassroots movements.

This collection of Python3 modules provides a large range of implemented decision aiding algorithms useful in the field of outranking digraphs based Multiple Criteria Decision Aid (MCDA), especially best choice, linear ranking and absolute or relative rating algorithms with multiple incommensurable criteria. Technical documentation and tutorials are available under the following link: https://digraph3.readthedocs.io/en/latest/ The tutorials introduce the main objects like digraphs, outranking digraphs and performance tableaux. There is also a tutorial provided on undirected graphs. Some tutorials are problem oriented and show how to compute the winner of an election, how to build a best choice recommendation, or how to linearly rank or rate with multiple incommensurable performance criteria. Other tutorials concern more specifically operational aspects of computing maximal independent sets (MISs) and kernels in graphs and digraphs.

Accompanying software for the paper "Optimal Decision Rules for the Discursive Dilemma", by A. Alabert, M. Farré and R. Montes (https://arxiv.org/abs/2210.13100). Computes a ranking of the best decision rules according to a quantitative criterion based on the minimisation of the combined probabilities of false positives and false negatives

Program to help with the procedure called theWork of ByronKatie. It is not standalone executable on windows or osx. It will require the installation of python, wxPython, and pygame, all free. Links on the website.

Museum portal based on Plone and PostgreSQL presenting archive-, photo-, subject matter and book materials in addition to online articles. Supports importing of data from museum systems in CIDOC XML format.

The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM), Item Response Ranking framework (IRR), Incremental Cognitive Diagnosis (ICD) and Knowledge-association baesd extension of NeuralCD (KaNCD). Cognitive diagnosis model (CDM) for intelligent educational systems is a type of model that infers students' knowledge states from their learning behaviors (especially exercise response logs). Typically, the input of a CDM could be the students' response logs of items (i.e., exercises/questions), the Q-matrix that denotes the correlation between items and knowledge concepts (skills). The output is the diagnosed student knowledge states, such as students' abilities and students' proficiencies on each knowledge concepts.

Datasets in Education and convenient interface for downloading and preprocessing dataset in education. The CLI tools to quickly convert the "raw" data of the dataset into "mature" data for knowledge tracing task. The "mature" data is in json sequence format and can be modeled by XKT and TKT(TBA) The analysis dataset tool only supports the json sequence format. To check the following statical indexes of the dataset. In order to better verify the effectiveness of the model, the dataset is usually divided into train/valid/test or using kfold method. Each item in the sequence represents one interaction. The first element of the item is the exercise id (in some works, the exercise id is not one-to-one mapped to one knowledge unit(ku)/concept, but in junyi, one exercise contains one ku) and the second one indicates whether the learner correctly answers the exercise, 0 for wrongly while 1 for correctly.

Egotistics is a social network analysis program that allows users to simultaneously explore multiple personal networks (called 'ego networks').

FreeBrain will be an application for the analysis of 2D neurophysiological signals, like heart-rate, EEG or eyemovements. It is aimed at those who want intuitive or free software and those who want a customizeble tool that can handle mixed datasets.