TextDescriptives

6.2easy start · #15 of 37
in Text Analytics Software

Free to practise onnot on record
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Runs on api, Linux.

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TextDescriptives is ranked #15 of 37 in text analytics software on The Geeks Club. It runs on API, Linux.

Compared on text analytics software

Free plan: Yes
Analysis sources: documents
Deployment options: on_premise

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The record

Purpose: TextDescriptives is a Python library for calculating statistics and other metrics from text using spaCy v.3 pipeline components and extensions.
Install: The documentation says to install the package with `pip install textdescriptives`.
Metrics: Its components cover descriptive statistics, readability, dependency distance, part-of-speech proportions, coherence, text quality, and information theory.
Text statistics: Descriptive statistics include token and character counts, unique-token proportions, sentence lengths, syllable counts, and token lengths.
Readability: Readability measures include Flesch, SMOG, Gunning-Fog, Automated Readability Index, Coleman-Liau, LIX, and RIX.
Quality filtering: Quality metrics include stop-word and out-of-vocabulary ratios, text repetition, bullet points, ellipses, and configurable thresholds for checks.
Output: The extractors can return metrics in a Pandas DataFrame or a list of dictionaries, and can process raw text or spaCy documents.
Integrations: The documentation shows integration with spaCy pipelines and a scikit-learn pipeline featurizer.
Demo: The documentation links to an online demo for trying the package.
Notable limitation: Readability metrics that require hyphenation may return NaN for languages unsupported by Pyphen.
Support: The documentation directs bug reports and feature requests to GitHub Issues and usage questions to GitHub Discussions.
License: The project’s GitHub page identifies its license as Apache-2.0.

Where it ranks on The Geeks Club

Best Text Analytics Software in 2026#15 of 37

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Sources

hlasse.github.io/TextDescriptives/· checked 4 Oct 2026
hlasse.github.io/TextDescriptives/installation.html· checked 4 Oct 2026
hlasse.github.io/TextDescriptives/usingthepackage.html· checked 4 Oct 2026
hlasse.github.io/TextDescriptives/descriptivestats.html· checked 4 Oct 2026
hlasse.github.io/TextDescriptives/readability.html· checked 4 Oct 2026
hlasse.github.io/TextDescriptives/quality.html· checked 4 Oct 2026
hlasse.github.io/TextDescriptives/extractors.html· checked 4 Oct 2026
hlasse.github.io/TextDescriptives/tutorials/sklearn_inte· checked 4 Oct 2026
github.com/HLasse/textdescriptives· checked 4 Oct 2026