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onigurumacffi

library1.5.0pypypi✓ verified 83d ago

Onigurumacffi provides Python cffi bindings for the Oniguruma regex engine. Currently at version 1.5.0, it wraps the Oniguruma C library, offering a performant, multibyte-aware regex engine that operates primarily on bytes, distinct from Python's built-in `re` module. The library bundles the Oniguruma C source, simplifying installation, and requires Python 3.10 or newer. Releases are infrequent, tied to updates in the underlying Oniguruma library or CFFI.

serialization

pip install onigurumacffi

github ↗package ↗

INSTALL

IMPORT

SIG · ONIGURUMACFFI

onigurumacffi

serializationpythonv1.5.0

Install

1.9s avg

Import

—

Disk

20MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.5.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.910 runs

build_error

glibc

py 3.10–3.910 runs

installs and imports cleanly · install 1.9s · import 0.000s · 22MB

20MB installed

● package 20MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

✓ from onigurumacffi import re

✗ from onigurumacffi import OnigurumaRegex

compile

✓ from onigurumacffi import compile

OnigError

✓ from onigurumacffi import OnigError

This quickstart demonstrates how to initialize `OnigurumaRegex` with a byte pattern and encoding, perform `match` and `search` operations on byte strings, and access matched groups. It also includes basic error handling for invalid regex patterns.

from onigurumacffi import OnigurumaRegex, OnigurumaMatch, OnigurumaError # Create a regex object. Oniguruma supports various encodings, UTF-8 is common. # Patterns are typically bytes for direct Oniguruma interaction. regex = OnigurumaRegex(b'^(hello|hi)\\s+(world|there)!$', encoding='utf-8') # Match a string (also bytes) text = b'hello world!' match: OnigurumaMatch | None = regex.match(text) if match: print(f"Match found!") print(f"Full match: {match.group(0).decode('utf-8')}") print(f"Group 1: {match.group(1).decode('utf-8')}") print(f"Group 2: {match.group(2).decode('utf-8')}") else: print(f"No match for '{text.decode('utf-8')}'") # Example of a search (finding a substring match) search_text = b'some hello world! text' search_match: OnigurumaMatch | None = regex.search(search_text, start=0) if search_match: print(f"\nSearch found!") print(f"Search match: {search_match.group(0).decode('utf-8')}") # Error handling try: invalid_regex = OnigurumaRegex(b'[invalid') except OnigurumaError as e: print(f"\nCaught expected error: {e}")

Debug

Known issues

gotchaOnigurumacffi uses the Oniguruma regex engine, which has different syntax and behavior compared to Python's built-in `re` module. Features, character classes, and performance characteristics will differ.

fix

Always refer to Oniguruma's official documentation for pattern syntax and behavior. Do not assume `re` module compatibility.

affects: All versions

gotchaThe `onigurumacffi` library statically links against a specific version of the Oniguruma C library (e.g., 6.9.8). If you need features or bug fixes from a newer Oniguruma C version, you might need to wait for a new `onigurumacffi` release or compile it yourself.

fix

Check the `onigurumacffi` GitHub README for the bundled Oniguruma version. For newer versions, monitor `onigurumacffi` releases or consider custom compilation.

affects: All versions

gotchaOniguruma primarily operates on bytes, not Python strings. Patterns and input text passed to `OnigurumaRegex` methods must be `bytes` objects. While an `encoding` parameter is provided, direct byte handling is often necessary.

fix

Ensure all patterns and input strings are encoded to `bytes` (e.g., `b'pattern'` or `'string'.encode('utf-8')`) before passing them to `onigurumacffi` functions. Decode results (e.g., `match.group(1).decode('utf-8')`) for string output.

affects: All versions

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Version history

1.5.0latest on PyPI · released Jan 25, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

2 hits · last 30 days

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Resources

githubhttps://github.com/asottile/onigurumacffi ↗

packagehttps://pypi.org/project/onigurumacffi/ ↗