Quirkos vs spaCy

Quirkos is qualitative analysis software for exploring and interpreting text data. It imports Word documents, plain text, PDFs, Excel spreadsheets, and text pasted from websites or other programs. Codes are displayed visually as users work, with support for groups, hierarchies, color coding, overlap views, and word clouds. Query View can search text, filter by data criteria, and compare data groups side by side. Quirkos Cloud adds live synchronization, editing, and chat, with unlimited collaborators and collaborations at no extra fee. Project data can be exported to Excel for use in SPSS or R, or in REFI-QDA format for other qualitative programs. Quirkos Transcribe converts audio and video into transcripts, accepts files up to 2 GB, and includes 100 free minutes for Cloud users. Transcribe runs in the web app; its five best-supported selectable languages are English, Italian, German, Spanish, and Portuguese. Cloud plans include student, academic and nonprofit, public sector, and commercial options. The Student plan costs $5 a month, billed annually; an offline licence for one computer costs 69.00 USD once for lifetime use.

spaCy is a free, open-source Python library for building natural language processing applications, with a focus on production use and large volumes of text. Its components handle named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphology, and entity linking. The project lists support for 75+ languages and 84 trained pipelines for 25 languages, though trained pipelines are not available for every language. Developers can configure and train custom pipelines, describe training runs with configuration files, and package pipelines for installation as Python packages. spaCy can use pretrained transformers through spacy-transformers, and supports custom models in PyTorch, TensorFlow, and other frameworks. spaCy Projects supports workflows for downloads, commands, checksum verification, and caching, along with integrations for tracking, demos, model serving, distributed training, and Hugging Face Hub. Installation is available through pip, conda, or source on Linux, macOS, and Windows. The library can run on a user's servers without data leaving them. It is not a hosted software-as-a-service product or web application. The library is free under AGPL or a commercial license; transformer models require a GPU to run effectively.