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CATMA vs TextDescriptives

CATMA

7.7#3 in text analytics softwareFree plan
Free planWebAPILinuxmacOS
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What both publish

FactCATMATextDescriptives
PurposeCATMA supports computer-assisted text markup and analysis, including annotation, analysis, interpretation, and visualization.TextDescriptives is a Python library for calculating statistics and other metrics from text using spaCy v.3 pipeline components and extensions.
SupportThe FAQ asks users who need help to contact the CATMA team, which says it will respond as soon as possible.The documentation directs bug reports and feature requests to GitHub Issues and usage questions to GitHub Discussions.

CATMA plans

  • CATMAFree
  • Public CATMA instanceFree

TextDescriptives plans

No prices published.

Pick CATMA if…

CATMA suits researchers and teams conducting qualitative text studies, especially literary studies, who need flexible annotation and visual analysis. It can also suit users who want locally hosted access or programmatic access to project data.

Pick TextDescriptives if…

TextDescriptives suits Python users building spaCy or scikit-learn text-analysis pipelines. It is useful when you need structured statistics, readability measures, or configurable text-quality checks.

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