pluralizer
Singularize or pluralize a given word using a pre-defined list of rules
Decision gist · record as of 2026-08-14
Yes. Pluralizer is a stable, actively maintained library with no dependencies, a permissive license, and no known vulnerabilities. Install it if you need reliable English word pluralization in automation or text generation; skip it if word forms are known at design time or if you need a heavier NLP toolkit.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Installs with no runtime dependencies and is actively maintained; last commit was recent.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions.
last release 2025-06-11 (429 days) · last repo commit 2026-08-05 · 15 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 370,661 downloads/mo, #7,174 on PyPI
Alternatives
Verify before relying
pip install pluralizer
from pluralizer import Pluralizer
pluralizer = Pluralizer()
print(pluralizer.pluralize('apple', 2, True)) # '2 apples'
print(pluralizer.singular('apples')) # 'apple'- Accuracy compared to the original JavaScript pluralize library it was ported from
- Coverage of edge cases and irregular plurals beyond common English words
- Performance characteristics for high-volume word conversions
What it is and what it does
Pluralizer is a Python port of the popular JavaScript pluralize library. It applies a pre-defined ordered set of rules to convert English words between singular and plural forms, and can optionally include a count prefix in the output. The package exposes methods to pluralize, singularize, and test whether a word is in plural or singular form.
The library is designed for automation tasks where word forms need to be determined programmatically—such as generating user-facing text, building dynamic queries, or formatting output. It requires Python 3.10 or later and has no external runtime dependencies, making it lightweight to integrate. The author evaluated several alternatives (TextBlob, inflect, NLTK Wordnet) and selected this approach as most accurate for their use case.
Use it for
- Generate grammatically correct user-facing messages that include dynamic counts ('1 apple' vs '2 apples')
- Build database queries or API calls that need singular or plural form of a resource name
- Format log messages or reports where noun forms must agree with quantities
- Validate or normalize user input by checking whether a word is in expected singular or plural form
- Construct URLs or identifiers that use plural nouns (e.g., '/users' vs '/user')
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Pluralizer is a stable, actively maintained library with no dependencies, a permissive license, and no known vulnerabilities. Install it if you need reliable English word pluralization in automation or text generation; skip it if word forms are known at design time or if you need a heavier NLP toolkit.
Install
pluralizer on PyPI
Before you install
Installs with no runtime dependencies and is actively maintained; last commit was recent.
Requires Python 3.10 or later.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions.
Quickstart
pip install pluralizer
from pluralizer import Pluralizer
pluralizer = Pluralizer()
print(pluralizer.pluralize('apple', 2, True)) # '2 apples'
print(pluralizer.singular('apples')) # 'apple'Verify before relying
- Accuracy compared to the original JavaScript pluralize library it was ported from
- Coverage of edge cases and irregular plurals beyond common English words
- Performance characteristics for high-volume word conversions
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 429 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 370,661 / month, #7,174 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 :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Topic :: Software Development :: Libraries :: Python Modules |
Evidence: pluralizer-2.0.0-py3-none-any.whl
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See also inflect · inflection · jinja2_pluralize · Inflector · lemminflect · word2number · titlecase · python-i18n · unicode-rbnf · pymorphy2