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pyunormalize

A library for Unicode normalization (NFC, NFD, NFKC, NFKD) independent of Python's core Unicode database.

With conditionsPyPI Python ModulesReleased Sep 20254.1M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pyunormalize-17.0.0-py3-none-any.whl
v17.0.0 · released 2025-09-28 · Python >=3.8

Yes, if you need Unicode normalization with explicit version control (17.0) independent of your Python environment. The package is lightweight, has no dependencies, and covers all four standard normalization forms. Install it if your application requires consistent normalization across different systems or if you need to target a specific Unicode Standard version. Skip it if Python's built-in str.normalize() meets your needs.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.8 or newer; Python 3.6 and 3.7 are no longer supported.
  • Low friction: pure-Python wheel with no runtime dependencies.
  • Maintenance status is aging (320 days since last release), but the repository is active and the package targets current Python versions (3.8–3.13).

License · maintenance · safety

MIT (permissive) — MIT license is permissive; you may use, modify, and distribute the code freely. Unicode data files are governed by the Unicode Terms of Use, a copy of which is included in the package.

last release 2025-09-28 (320 days) · last repo commit 2025-09-28 · 9 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 4,067,308 downloads/mo, #2,386 on PyPI

Verify before relying

pip install pyunormalize

from pyunormalize import NFC, NFD

text = "élève"
nfc_form = NFC(text)
nfd_form = NFD(text)
  • Performance characteristics (speed, memory overhead) compared to Python's built-in str.normalize() method.
  • Whether the package is actively maintained or in maintenance-only mode given the 320-day gap since last release.
Same gist for agents: .md · .json

What it is and what it does

pyunormalize is a pure-Python library that implements the Unicode normalization algorithm according to Unicode Standard version 17.0. It provides four normalization forms—NFC, NFD, NFKC, and NFKD—using its own Unicode character database (UCD) data, ensuring independence from whatever Unicode version is embedded in the host Python interpreter. This is useful when you need consistent, version-pinned normalization behavior across different Python environments or when the system's built-in Unicode support is older than the standard you need to conform to.

The package has no external runtime dependencies and is distributed as a pure-Python wheel. It has been tested against the official Unicode test file for accuracy. It supports Python 3.8 through 3.13 and is licensed under the MIT license, with Unicode data files governed by the Unicode Terms of Use.

Use it for

  • Normalize user-supplied text to a consistent form before comparison or storage in applications requiring strict Unicode 17.0 compliance.
  • Process multilingual text (including Hangul and other complex scripts) with guaranteed normalization behavior independent of the Python version.
  • Build text processing pipelines where Unicode normalization form must be explicitly controlled and version-pinned.
  • Migrate legacy systems to Unicode 17.0 normalization without upgrading the entire Python runtime.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need Unicode normalization with explicit version control (17.0) independent of your Python environment.

The package is lightweight, has no dependencies, and covers all four standard normalization forms. Install it if your application requires consistent normalization across different systems or if you need to target a specific Unicode Standard version. Skip it if Python's built-in str.normalize() meets your needs.

Install

pyunormalize on PyPI

Before you install

Low friction: pure-Python wheel with no runtime dependencies. Maintenance status is aging (320 days since last release), but the repository is active and the package targets current Python versions (3.8–3.13).

Requires Python 3.8 or newer; Python 3.6 and 3.7 are no longer supported.

License in practice

MIT license is permissive; you may use, modify, and distribute the code freely. Unicode data files are governed by the Unicode Terms of Use, a copy of which is included in the package.

Quickstart

pip install pyunormalize

from pyunormalize import NFC, NFD

text = "élève"
nfc_form = NFC(text)
nfd_form = NFD(text)

Verify before relying

  • Performance characteristics (speed, memory overhead) compared to Python's built-in str.normalize() method.
  • Whether the package is actively maintained or in maintenance-only mode given the 320-day gap since last release.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.8
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceAging 320 days since the last release
Last repo commit
First released
Downloads4,067,308 / month, #2,386 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: InternationalizationTopic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: LocalizationTopic :: Text ProcessingTopic :: Utilities

Evidence: pyunormalize-17.0.0-py3-none-any.whl

Tags

Capabilities
unicode normalizationnfc nfd nfkc nfkdtext normalizationunicode standard 17.0pure python unicodenormalize unicode textunicode character database
Topics
unicodei18ntext-processing
PyPI keywords
nfcnfdnfkcnfkdnormalization formsnormalizehangultexttext processingunicodeunicode normalizationi18npythonpure-python

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See also normality · pyloudnorm · unicodedata2 · anyascii · bnunicodenormalizer · tangled-up-in-unicode · confusables · wetext · graphemeu · tensorflow-text