stop-words
Get list of common stop words in various languages in Python
Decision gist · record as of 2026-08-14
Yes. Stop-words is a mature, zero-dependency library with permissive licensing, low install friction, and no known vulnerabilities. It is actively maintained and widely used. Install it if you need multilingual stop-word filtering for NLP or text preprocessing; the aging maintenance status is not a blocker for a stable, feature-complete utility.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- Low friction: pure Python wheel with zero runtime dependencies.
- Maintenance status is aging—last release 284 days old—but the repository remains active and the package is mature (Development Status :: 6 - Mature).
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause (permissive): you may use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.
last release 2025-11-03 (284 days) · last repo commit 2025-11-03 · 163 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 207,315 downloads/mo, #9,555 on PyPI
Alternatives
Verify before relying
pip install stop-words
from stop_words import get_stop_words
stop_words = get_stop_words('en')
text = "The quick brown fox jumps over the lazy dog"
filtered = [w for w in text.lower().split() if w not in stop_words]
print(filtered) # ['quick', 'brown', 'fox', 'jumps', 'lazy', 'dog']- Whether all 34+ languages are equally well-maintained or if some lists are outdated.
- Performance characteristics when filtering large texts or with many concurrent language loads.
- Current download volume and user base size.
What it is and what it does
Stop-words is a lightweight Python library that bundles curated lists of common words (like "the", "is", "at") across multiple languages. It is designed for natural language processing and text analysis workflows where filtering out these high-frequency, low-semantic-value words improves downstream analysis—keyword extraction, topic modeling, search relevance, and similar tasks.
The package offers both simple and safe loading modes, built-in caching for repeated access, and a filter system for custom post-processing of word lists. It has no external runtime dependencies, making it easy to add to any Python project. The library supports both ISO 639-1 language codes (e.g., 'en') and full language names (e.g., 'english') for convenience.
Use it for
- Filter stop words from user-generated text before extracting keywords or computing term frequency in search or analytics systems.
- Preprocess multilingual documents for topic modeling or text classification by removing common words in each language.
- Build a text summarization pipeline that excludes stop words to focus on semantically meaningful terms.
- Clean and normalize text input for information retrieval or semantic similarity matching tasks.
- Support language-specific text analysis in chatbots or NLP pipelines that handle multiple languages.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Stop-words is a mature, zero-dependency library with permissive licensing, low install friction, and no known vulnerabilities. It is actively maintained and widely used. Install it if you need multilingual stop-word filtering for NLP or text preprocessing; the aging maintenance status is not a blocker for a stable, feature-complete utility.
Install
stop-words on PyPI
Before you install
Low friction: pure Python wheel with zero runtime dependencies. Maintenance status is aging—last release 284 days old—but the repository remains active and the package is mature (Development Status :: 6 - Mature).
Requires Python 3.11 or later.
License in practice
BSD-3-Clause (permissive): you may use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.
Quickstart
pip install stop-words
from stop_words import get_stop_words
stop_words = get_stop_words('en')
text = "The quick brown fox jumps over the lazy dog"
filtered = [w for w in text.lower().split() if w not in stop_words]
print(filtered) # ['quick', 'brown', 'fox', 'jumps', 'lazy', 'dog']Verify before relying
- Whether all 34+ languages are equally well-maintained or if some lists are outdated.
- Performance characteristics when filtering large texts or with many concurrent language loads.
- Current download volume and user base size.
Package facts
| License | BSD-3-Clause permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 284 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 207,315 / month, #9,555 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 6 - MatureIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Topic :: Software DevelopmentTopic :: Text ProcessingTopic :: Text Processing :: Filters |
Evidence: stop_words-2025.11.4-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “stop words filtering”
- stop-wordsProvides curated stop-word lists for multiple languages, enabling…
- stop-sequencerAdds stop-sequence support to Huggingface Transformers text…
- pythainlpPyThaiNLP provides Thai-language natural language processing tools…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also probableparsing · stopwordsiso · jieba3k · wordfreq · keyphrase-vectorizers · keybert · rake-nltk · english-words · snowballstemmer · better-profanity