Open Source Python Social sciences Software
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Python Social sciences Software
View related business solutionsBrowse free open source Python Social sciences Software and projects below. Use the toggles on the left to filter open source Python Social sciences Software by OS, license, language, programming language, and project status.
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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"
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Gramps
Gramps, the open source genealogy program
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, ....) -
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NAVAL-SEM
Free offline SEM software with HTMT, bootstrapping & exports
NAVAL-SEM is a free, open-source, fully offline desktop application for Structural Equation Modeling (SEM), supporting both PLS-SEM and CB-SEM workflows. Designed for researchers, PhD scholars, professors, students, and analysts, it enables advanced quantitative research without subscriptions, cloud dependencies, or proprietary software restrictions. Key features include visual drag-and-drop model building, bootstrapping, mediation analysis, HTMT, AVE, Composite Reliability (CR), Cronbach's Alpha, model fit assessment, and Multi-Group Analysis (MGA). NAVAL-SEM also supports export to R, Python, and Lavaan for reproducible research workflows. Built for academic and professional research, NAVAL-SEM helps users conduct scale validation, measurement assessment, and structural modeling across disciplines including marketing, management, psychology, education, healthcare, and social sciences. Available for Windows, macOS, and Linux. -
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Digraph3
A collection of python3 modules for Algorithmic Decision Theory
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. -
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MCPower
MCPower — simple Monte Carlo power analysis for complex models
MCPower-GUI is a desktop application that provides a graphical interface for the MCPower Monte Carlo power analysis library. It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). Supports both standard linear models and mixed-effects models. Additional features include analysis history, configurable scenarios, and built-in documentation. -
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ufov
Enhance useful field of view, speed of responsiveness, brain exerciser
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. -
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This is a collection of plugins for Gramps open source genealogy application. These addons extend Gramps functionality with additional reports, gramplets, tools, and views. For more information on Gramps, see http://gramps-project.org/ Addons for the following Gramps series of releases ( 3.2.x / 3.3.x / 3.4.x / 4.0.x / 4.1.x ) source code can be found here: https://sourceforge.net/p/gramps-addons/code/HEAD/tree/ From Gramps 4.2.x series onwards the Addons are available from: https://github.com/gramps-project/addons-source
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This project is for the creation of windows installation solutions for GRAMPS, an open source software project for genealogy. Please check the wiki under Hosted Apps for more information.
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Target is develop import and export filter for various data base systems from and to GEDCOM and GedXML (the XML specification of GEDCOM). The GEDCOM data format is prepared by "The Church of Jesus Christ of Latter-day Saints" (also known as Mormone)
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Image to Text
Convert an image to text to spot intelligible words.
The program will convert to text an image, such as a photo , with the purpose of analyzing it to spot intelligible words. Use the program with photos of clouds, sea, soil, vegetation or any other photo of natural or man-made semi-homogeneous configuration, to reveal the hidden universal-philosophical messages of the image. You can also use it on photos of people or art pieces to have a psychological insight of the person portrayed or of the image author. The resulting text will be a long string of mostly repeating characters but, every so often, you will notice an intelligible word, either spelled normally or with repeated letters, missing letters or anagrammed letters. -
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Konfidi is a trust framework that uses topical trust values from a social network of authenticated people. When you receive an email from someone you do not know, but he/she is in the network, Konfidi will compute an inferred trust value for you.
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WordCount
Count frequency of single, 2-word and 3-word clusters in a text
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). -
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cfe
Framework for producing web-based database applications
Sophisticated environment for developing web-based applications. It includes lots of handy low-level components including: 1/ mySql interface, including table creation, tables as class, query as iterator 2/ html generation 3/ multi-lingual ability 4/ html form field handling 5/ etc. On top of this is a high-level framework that allows rapid development of database apps including seach/create/display/update, user navigation between related entities and much more. Included, as a sample application, is FAMTREE: a Family Tree maintenance system. This uses most of the features of CFE and can be used as-is or as a model for developing other applications. Also included is BRIDGE. This allows one or more users to play this card game -
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hrlib is a python library to read Heredis (a genealogy program) file. It allow you to read-only everything in a Heredis file with extension .hrX.
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Workbench for easier and faster transcription of information from the 1901 Canadian Census into machine-readable form
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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
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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.
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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.
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Discursive Dilemma
Optimal Decision Rules for the Discursive Dilemma
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 -
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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.
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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.
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EduCDM
The Model Zoo of cognitive diagnosis models
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. -
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EduData
Datasets in Education and convenient interface for dataset
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.
