Free and open-source software for computer-assisted qualitative data analysis

LaMa, short for Labelling Machine, is an web application developed for aiding in thematic analysis of qualitative data.

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DeTAILS: Deep Thematic Analysis with Iterative LLM Support. DeTAILS is a toolkit for Thematic Analysis (and qualitative coding). By grounding LLMs in your research, DeTAILS automates the heavy lifting—scanning transcripts for quotes, generating codes and themes—while you (the researcher) guide the analysis to ensure rigor and depth.

An auxiliary tool for thematic analysis in qualitative research

Resources for Grounded Intuition of GPT-Vision's Abilities with Scientific Images

Code for Python package AutoThemeGenerator. Also part of codes for paper "GPT Models Can Perform Thematic Analysis in Public Health Studies, Akin to Qualitative Researchers"

Epistemic partnership infrastructure for AI-assisted qualitative research. Claude Code plugin with 3-stage methodology, 4 specialized agents, and 11 skills.

This repository contains all software written and used, along with the outcomes across all stages of the thematic analysis conducted on the reasons to find it easy or difficult to talk to the virtual coach.

Rapid Usability Testing: A lesson teaching rapid usability testing, intended for use as a 2-3 hour hands-on, virtual tutorial

A new package designed to analyze user-submitted texts related to financial well-being by employing language models and pattern matching. The package processes the input to identify key sentiments, th

Large language model topic modelling / thematic summarisation of tabular open text data. Live demo: https://huggingface.co/spaces/seanpedrickcase/llm_topic_modelling

AI-augmented qualitative coding for Braun & Clarke's Reflexive Thematic Analysis. Structured coding where the researcher maintains interpretive authority. MCP server for Claude Desktop.

Customer insight analysis of product purchase behaviour using EDA, text analysis, and thematic modelling.

Dynamic SLD generator to create Thematic Maps.

A qualitative analysis of Reddit comments on Google's new app testing requirements. To release an app on Play Store, developers must hire 20 testers who provide feedback on their app for 14 consecutive days.

A Python-based tool for performing thematic analysis on collections of PDF documents. It supports both supervised (using key concepts) and unsupervised (clustering) analysis, leveraging NLP techniques and GPT models for insightful results.

This repo contains outcomes across all stages of the thematic analysis conducted on the reasons to be satisfied or dissatisfied when using the virtual coach.

Modular R pipeline for multilingual survey analysis — translate, embed, cluster, and visualize open-ended responses using Google Cloud and tidyverse tools.

A sentiment Analysis Project of mobile banking applications with focus on Retail focused Banks using customer reviews on Google Play Store .