Qualitative Data Analysis and QDA Tools

QualCoder is free, open source software for qualitative data analysis. It has many of the features of commercial QDA software packages such as auto-coding, coding images and A/V materials, SQL database querying, and many reporting and visualization options.

QualCoder works on Windows, macOS, and Linux operating systems. Python 3.7 or higher, and a 64-bit VLC player must be installed to work with audio and video.

Download installation files for the most recent QualCoder release from GitHub

YouTube videos showing how to use QualCoder

Detailed feature overview of QualCoder

Demonstration video showing QualCoder 3.2 GitHub source code installation on a Windows PC. Since recording, QualCoder 3.4 was released, which can be installed from a Windows executable. The same process can be used with a newer version.

Demonstration video showing QualCoder 3.3 GitHub source code installation on MacOS. The same process can be used with a newer version.

Brailas, A., Tragou, E., & Papachristopoulos, K. (2023). Introduction to Qualitative Data Analysis and Coding with QualCoder. American Journal of Qualitative Research, 7(3), 19-31. https://doi.org/10.29333/ajqr/13230

This video demonstrates how to change a code color as you code. It also goes over changing a category of color with Colour Scheme and viewing color from different color blindness perspectives.

"QualCoder uses AI transparently. Unlike most commercial QDA packages, QualCoder allows you to see and even modify the underlying prompts of its AI features. You can also choose between different AI models or integrate your own." To use AI with QualCoder, download the QualCoder 3.6 (Mastercode) from GitHub and follow the README instructions and AI Setting