pymorphy2
Morphological analyzer (POS tagger + inflection engine) for Russian language.
Decision gist · record as of 2026-08-14
Yes, if you are working with Russian text and need morphological analysis. The library is stable, has no known vulnerabilities, and low install friction. However, be aware that maintenance is dormant—no updates since 2020—so you should verify compatibility with your Python version and consider whether you need active maintenance or community support for production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires pymorphy2-dicts-ru (Russian dictionary data) to be installed; Ukrainian support requires additional dictionary configuration.
- Low install friction with a pure-Python wheel.
- Maintenance is dormant—last release was 2020-09-26 and last commit 2024-06-26—so bug fixes and feature updates are unlikely, though the repository remains active and not archived.
License · maintenance · safety
MIT license (permissive) — MIT license (permissive) places no restrictions on use, modification, or distribution in commercial or private projects.
last release 2020-09-26 (2148 days) · last repo commit 2024-06-26 · 1,175 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 215,946 downloads/mo, #9,389 on PyPI
Alternatives
Verify before relying
pip install pymorphy2
import pymorphy2
morph = pymorphy2.MorphAnalyzer()
word = morph.parse('слова')[0]
print(word.grammemes)- Whether Ukrainian support is fully equivalent to Russian or requires additional setup beyond the standard installation.
- Current compatibility with Python versions beyond 3.8, given the latest release predates modern Python versions.
- Performance characteristics on large text corpora or real-time NLP pipelines.
What it is and what it does
pymorphy2 is a morphological analysis library for Russian and Ukrainian text. It performs two main tasks: identifying the part of speech and grammatical properties of words (POS tagging), and generating different inflected forms of words (lemmatization and conjugation). The library is built on linguistic data from OpenCorpora and is commonly used in Russian NLP pipelines for text preprocessing, information extraction, and linguistic analysis.
The package depends on dawg-python for efficient dictionary lookups and pymorphy2-dicts-ru for Russian morphological data. It has low installation friction as a pure-Python wheel, but maintenance is dormant—the last release was in 2020, though the repository remains accessible. It supports Python 2.7 through 3.8 according to its classifiers, but has not been updated for newer Python versions.
Use it for
- Preprocess Russian text for machine learning by lemmatizing words and extracting grammatical features.
- Build Russian search engines or information retrieval systems that need to match word variants.
- Generate inflected forms of Russian words for text generation or templating tasks.
- Analyze Ukrainian text for linguistic research or NLP applications.
- Implement Russian spell-checking or grammar-checking tools that require morphological analysis.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are working with Russian text and need morphological analysis.
The library is stable, has no known vulnerabilities, and low install friction. However, be aware that maintenance is dormant—no updates since 2020—so you should verify compatibility with your Python version and consider whether you need active maintenance or community support for production use.
Install
pymorphy2 on PyPI
Before you install
Low install friction with a pure-Python wheel. Maintenance is dormant—last release was 2020-09-26 and last commit 2024-06-26—so bug fixes and feature updates are unlikely, though the repository remains active and not archived.
Requires pymorphy2-dicts-ru (Russian dictionary data) to be installed; Ukrainian support requires additional dictionary configuration.
License in practice
MIT license (permissive) places no restrictions on use, modification, or distribution in commercial or private projects.
Quickstart
pip install pymorphy2
import pymorphy2
morph = pymorphy2.MorphAnalyzer()
word = morph.parse('слова')[0]
print(word.grammemes)Verify before relying
- Whether Ukrainian support is fully equivalent to Russian or requires additional setup beyond the standard installation.
- Current compatibility with Python versions beyond 3.8, given the latest release predates modern Python versions.
- Performance characteristics on large text corpora or real-time NLP pipelines.
Package facts
| License | MIT license permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesdawg-pythonpymorphy2-dicts-rudocopt |
| Maintenance | Dormant 2,148 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 215,946 / month, #9,389 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: RussianProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Scientific/Engineering :: Information AnalysisTopic :: Software Development :: Libraries :: Python ModulesTopic :: Text Processing :: Linguistic |
Evidence: pymorphy2-0.9.1-py3-none-any.whl
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See also pymorphy3 · pymorphy2-dicts-ru · pymorphy3-dicts-ru · lemminflect · pymorphy3-dicts-uk · mecab-ko · Janome · PyStemmer · polyglot · mecab-python3