PyStemmer
Snowball stemming algorithms, for information retrieval
Decision gist · record as of 2026-08-14
Yes. PyStemmer is stable (Production/Stable status), actively maintained, has no runtime dependencies, and solves a well-defined problem in search and information retrieval. Medium install friction is acceptable for a compiled library with broad platform coverage. No known vulnerabilities. Install if you need stemming for search, IR, or NLP preprocessing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a C compiler or pre-built wheel for your platform; wheels cover common architectures but less common platforms may need to build from source.
- Medium install friction due to compiled C extensions, but wheels are available for common platforms (macOS, Linux, Windows across x86_64, ARM, and other architectures).
- Active maintenance with a recent release 84 days ago.
License · maintenance · safety
MIT, BSD (permissive) — Dual-licensed under MIT and BSD, both permissive licenses allowing commercial and private use with minimal restrictions.
last release 2026-05-22 (84 days) · last repo commit 2026-06-09 · 282 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,490,220 downloads/mo, #3,043 on PyPI
Alternatives
Verify before relying
pip install pystemmer
import pystemmer
# Use the package for stemming operations- Whether the package supports Python 3.13 and 3.14 (listed in classifiers but requires_python is unspecified)
- Specific API and usage patterns for accessing stemming algorithms across supported languages
- Performance characteristics and typical stemming speed for large document collections
What it is and what it does
PyStemmer wraps the Snowball project's libstemmer library to provide efficient word stemming in Python. Stemming reduces words to a common base form by removing morphological endings—for example, 'cycling', 'cycled', and 'cycles' all stem to a shared root. This is primarily useful for search engines and information retrieval systems where matching variants of the same word improves recall.
The package supports stemming algorithms for many languages including Arabic, Armenian, Basque, Catalan, Czech, Danish, Dutch, English, Finnish, French, German, Greek, Hindi, Hungarian, Indonesian, Italian, Lithuanian, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Tamil, Turkish, and Yiddish. It also provides access to the classic Porter stemming algorithm for English, which may be useful for reproducing historical information retrieval experiments. The package has no runtime dependencies and installs via pre-built wheels on most common platforms.
Use it for
- Build a search engine that matches query variants to documents containing morphological forms of the same word
- Normalize text for information retrieval systems to improve recall across morphological variants
- Preprocess multilingual text corpora for natural language processing or machine learning pipelines
- Implement the classic Porter algorithm for English stemming in academic or historical IR experiments
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
PyStemmer is stable (Production/Stable status), actively maintained, has no runtime dependencies, and solves a well-defined problem in search and information retrieval. Medium install friction is acceptable for a compiled library with broad platform coverage. No known vulnerabilities. Install if you need stemming for search, IR, or NLP preprocessing.
Install
pystemmer on PyPI
Before you install
Medium install friction due to compiled C extensions, but wheels are available for common platforms (macOS, Linux, Windows across x86_64, ARM, and other architectures). Active maintenance with a recent release 84 days ago.
Requires a C compiler or pre-built wheel for your platform; wheels cover common architectures but less common platforms may need to build from source.
License in practice
Dual-licensed under MIT and BSD, both permissive licenses allowing commercial and private use with minimal restrictions.
Quickstart
pip install pystemmer
import pystemmer
# Use the package for stemming operationsVerify before relying
- Whether the package supports Python 3.13 and 3.14 (listed in classifiers but requires_python is unspecified)
- Specific API and usage patterns for accessing stemming algorithms across supported languages
- Performance characteristics and typical stemming speed for large document collections
Package facts
| License | MIT, BSD permissive |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 84 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,490,220 / month, #3,043 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseLicense :: OSI Approved :: MIT LicenseNatural Language :: ArabicNatural Language :: ArmenianNatural Language :: BasqueNatural Language :: CatalanNatural Language :: CzechNatural Language :: DanishNatural Language :: DutchNatural Language :: EnglishNatural Language :: EsperantoNatural Language :: EstonianNatural Language :: FinnishNatural Language :: FrenchNatural Language :: GermanNatural Language :: GreekNatural Language :: HindiNatural Language :: HungarianNatural Language :: IndonesianNatural Language :: IrishNatural Language :: ItalianNatural Language :: LithuanianNatural Language :: NepaliNatural Language :: NorwegianNatural Language :: PersianNatural Language :: PolishNatural Language :: PortugueseNatural Language :: RomanianNatural Language :: RussianNatural Language :: SerbianNatural Language :: SpanishNatural Language :: SwedishNatural Language :: TamilNatural Language :: TurkishNatural Language :: YiddishOperating System :: OS IndependentProgramming Language :: CProgramming Language :: OtherProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: DatabaseTopic :: Internet :: WWW/HTTP :: Indexing/SearchTopic :: Text Processing :: IndexingTopic :: Text Processing :: Linguistic |
Evidence: pystemmer-3.1.0-cp310-cp310-macosx_10_9_x86_64.whl; pystemmer-3.1.0-cp310-cp310-macosx_11_0_arm64.whl; pystemmer-3.1.0-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl; pystemmer-3.1.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; pystemmer-3.1.0-cp310-cp310-musllinux_1_2_aarch64.whl; pystemmer-3.1.0-cp310-cp310-musllinux_1_2_x86_64.whl; pystemmer-3.1.0-cp310-cp310-win32.whl; pystemmer-3.1.0-cp310-cp310-win_amd64.whl; pystemmer-3.1.0-cp310-cp310-win_arm64.whl; pystemmer-3.1.0-cp311-cp311-macosx_10_9_x86_64.whl; pystemmer-3.1.0-cp311-cp311-macosx_11_0_arm64.whl; pystemmer-3.1.0-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl; pystemmer-3.1.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; pystemmer-3.1.0-cp311-cp311-musllinux_1_2_aarch64.whl; pystemmer-3.1.0-cp311-cp311-musllinux_1_2_x86_64.whl; pystemmer-3.1.0-cp311-cp311-win32.whl; pystemmer-3.1.0-cp311-cp311-win_amd64.whl; pystemmer-3.1.0-cp311-cp311-win_arm64.whl; pystemmer-3.1.0-cp312-cp312-macosx_10_13_x86_64.whl; pystemmer-3.1.0-cp312-cp312-macosx_11_0_arm64.whl
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See also py-rust-stemmers · Sastrawi · snowballstemmer · pyphen · pymorphy3 · pyspellchecker · pymorphy2 · gensim · jieba · simplemma