icukit
A comprehensive Python toolkit for Unicode and internationalization, built on ICU (International Components for Unicode).
icukit provides a Pythonic interface to ICU's powerful text processing, localization, and internationalization capabilities. It includes both a library API and a command-line interface.
Installation
pip install icukit
This pulls in icukit-pyicu, which
bundles pre-built ICU libraries and PyICU. There are no system dependencies to
install on either macOS or Linux — the wheels are self-contained.
See Installation Guide for details, including how to use a system PyICU instead.
Features
Text Processing
- Transliteration: Convert between scripts (Latin to Cyrillic, Hangul to Latin, etc.)
- Normalization: NFC, NFD, NFKC, NFKD Unicode normalization forms
- Text Segmentation: Break text into words, sentences, lines, or grapheme clusters
- Unicode Regex: Full Unicode-aware regular expressions with script and property support
Recognition
- Value readings: Find numbers, dates, times, measures, currencies, ordinals, and abbreviations in text by inverting ICU's own formatting, keeping every plausible reading of a span
- Language-wide forms: Read the forms every locale of a language writes (en_US text reads en_GB's "12 kilometres"), or only the locales a caller chooses
Readers come assembled in sets. generated_detectors(locale) holds the readers that invert ICU's canonical formatting (each date skeleton, each interval, compact, spelled-out, and relative form); flexible_detectors(locale) holds the flexible readers, which read the forms text writes beyond ICU's own (negative and accounting currency, dates with eras, mixed measures, other decimal styles, times with zone names), each reader that takes a currency or unit built for those it chooses from ICU. A unit is read where CLDR's unit preferences give it to a region of the language, and every duration and data-size unit everywhere, so German text's "°F" is not read unless you pass units=. The flexible set costs more than the generated one: on the order of 5 to 10 seconds to build for en_US (a few for a language of few locales), so build it once and reuse it, and each detect a small multiple of the generated set's (the readers share the numbers they read, kept for the 16 texts read last, about 110 bytes per character each for en_US). For every reading, use both: generated_detectors(locale).with_(*flexible_detectors(locale).detectors). Pass guarded=True to flexible_detectors, or GUARDED_FAMILIES to generated_detectors, to add the readings the default readers refuse on purpose ("May" alone as a month).
Recognition reads plain text strings. Markdown, rich text, HTML, XML, and other markup must be turned into text before icukit reads it, by the caller or on the client; icukit has no mode for them. It also has no URL or email detector, so readings can fall inside a URL ("2004" in a path).
Localization
- Number Formatting: Decimal, currency, percent, scientific, spelled-out numbers
- Date/Time Formatting: Locale-aware date and time formatting with multiple styles
- Duration Formatting: Human-readable time durations ("2 hours, 30 minutes")
- List Formatting: Locale-aware list formatting ("A, B, and C")
- Plural Rules: Determine plural categories (one, few, many, other) for any locale
- Message Formatting: ICU MessageFormat for complex localized strings
Internationalization Utilities
- Collation: Locale-aware string sorting and comparison
- Locale Information: Parse, validate, and query locale data
- Script Detection: Identify writing scripts in text
- Bidirectional Text: Detect and handle RTL/LTR text
- IDNA: Internationalized domain name encoding/decoding
- Spoof Detection: Detect confusable characters and homograph attacks
Reference Data
- Regions: Country and region codes with containment relationships
- Scripts: Writing system information and properties
- Timezones: Timezone data with offsets and equivalents
- Calendars: Calendar system information (Gregorian, Hebrew, Islamic, etc.)
Quick Start
Library API
from icukit import (
transliterate,
sort_strings,
format_number,
format_datetime,
get_plural_category,
break_words,
)
# Transliterate text between scripts
transliterate("Привет мир", "Russian-Latin/BGN") # "Privet mir"
transliterate("hello", "Latin-Cyrillic") # "хелло"
# Sort strings with locale-aware collation
sort_strings(["cafe", "café", "CAFE"], "en_US") # ['cafe', 'café', 'CAFE']
sort_strings(["Öl", "Ol", "öl"], "de_DE") # ['Ol', 'Öl', 'öl']
# Format numbers for different locales
format_number(1234567.89, "en_US") # "1,234,567.89"
format_number(1234567.89, "de_DE") # "1.234.567,89"
format_number(1234567.89, "hi_IN") # "12,34,567.89"
# Format dates
from datetime import datetime
now = datetime.now()
format_datetime(now, "en_US", style="LONG") # "January 19, 2026 at 4:00:00 PM PST"
format_datetime(now, "ja_JP", style="LONG") # "2026年1月19日 16:00:00 PST"
# Determine plural category
get_plural_category(1, "en") # "one"
get_plural_category(2, "en") # "other"
get_plural_category(2, "ru") # "few"
get_plural_category(5, "ru") # "many"
# Break text into words
break_words("Hello, world!") # ["Hello", ",", " ", "world", "!"]
Command-Line Interface
icukit includes a full-featured CLI accessible via icukit or ik:
# Transliterate text
ik transliterate "Москва" Russian-Latin/BGN
# Output: Moskva
# Format numbers
ik number 1234567.89 --locale de_DE
# Output: 1.234.567,89
# Get locale information
ik locale info en_US
# List available transliterators
ik transliterate --list
# Sort lines with locale collation
cat names.txt | ik sort --locale sv_SE
# Detect scripts in text
ik script detect "Hello Мир 世界"
# Get Unicode character information
ik unicode info "A"
Run ik help or ik <command> --help for detailed usage information.
Supported Python Versions
- Python 3.11+
- Tested on Linux and macOS
Documentation
License
BSD 2-Clause License
Release files for icukit 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| icukit-0.7.0.tar.gz | 446.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| icukit-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 753.8 kB
Release files / icukit-0.7.0.tar.gz
| Download URL | icukit-0.7.0.tar.gz |
|---|---|
| Size | 446.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | icukit-0.7.0-py3-none-any.whl |
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| Size | 306.9 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.
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