pymorphy3

What it is and what it does

pymorphy3 is a morphological analyzer for Russian and Ukrainian that identifies parts of speech, lemmas, and grammatical attributes in text. It is a maintained continuation of the unmaintained pymorphy2 project. The package provides a POS tagger and inflection engine, allowing you to parse words into their base forms and extract grammatical metadata like case, number, and tense.

The package depends on dawg2-python for efficient dictionary lookup and pymorphy3-dicts-ru for Russian language data. It supports Python 3.9 through 3.14 and is classified as Beta. It is widely used in Russian NLP workflows, though its aging maintenance status (309 days since last release) suggests it is stable but not actively developed.

Use it for:

• Extract lemmas and POS tags from Russian text for downstream NLP tasks like classification or entity recognition.
• Normalize Russian user input or search queries by reducing inflected forms to their base words.
• Build Russian language text processing pipelines that require morphological annotation.
• Analyze Ukrainian text for grammatical attributes and inflection patterns.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Morphological analyzer and POS tagger for Russian and Ukrainian text that performs inflection analysis and lemmatization.

Yes, if you need Russian or Ukrainian morphological analysis. The package is stable, permissively licensed, has low install friction, and carries no known vulnerabilities. Aging maintenance is a minor concern but not a blocker for a mature analyzer; verify that Ukrainian support meets your production requirements before committing.

Install

pymorphy3 on PyPI

pip install pymorphy3

uv add pymorphy3

poetry add pymorphy3

Installing pymorphy3

Before you install

Low friction install with a pure-Python wheel. Maintenance is aging—last release was 309 days ago—but the repository remains active with recent commits and no archived status.

License in practice

MIT license permits commercial and private use with minimal restrictions; you must retain the license notice in distributions.

Quickstart

pip install pymorphy3

from pymorphy3 import MorphAnalyzer

morph = MorphAnalyzer()
analyzed = morph.parse('слово')
print(analyzed[0].tag)

Verify before relying

• Whether Ukrainian support is production-ready or still experimental relative to Russian
• Performance characteristics on large text corpora or real-time NLP pipelines
• Actual download volume and adoption patterns in production systems

Package facts

Evidence: pymorphy3-2.0.6-py3-none-any.whl

Tags

More Python Modules packages