$npx skillfedfor your agent

opencc-python-reimplemented

OpenCC made with Python

With conditionsPyPI LibrariesReleased Feb 20231.9M downloads / moApache LicensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — opencc_python_reimplemented-0.1.7-py2.py3-none-any.whl
v0.1.7 · released 2023-02-11

Yes, if you need Chinese character conversion and want a pure-Python solution with no compiled dependencies. The low install friction and permissive license make it straightforward to adopt. However, the dormant maintenance status (last release February 2023) means you should verify it works with your current Python version and test edge cases before relying on it in production, as bug fixes or updates are unlikely.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low friction installation with no runtime dependencies.
  • Maintenance is dormant—last release was in February 2023, over a year ago, though the repository remains active with 571 stars and no archived status.

License · maintenance · safety

Apache License (permissive) — Licensed under Apache License (permissive), allowing commercial and private use with minimal restrictions.

last release 2023-02-11 (1280 days) · last repo commit 2023-12-08 · 571 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,883,756 downloads/mo, #3,466 on PyPI

Verify before relying

pip install opencc-python-reimplemented

from opencc import OpenCC
cc = OpenCC('s2t')
converted = cc.convert('开放中文转换')
  • Whether the package handles ambiguous conversions correctly beyond the documented limitation of using only the first option
  • Performance characteristics when processing large volumes of text
  • Compatibility with Python versions beyond 3.5 (classifiers list 3.2–3.5 but current Python is much newer)
Same gist for agents: .md · .json

What it is and what it does

This package provides pure Python implementation of OpenCC (Open Chinese Convert), enabling conversion between Simplified Chinese and Traditional Chinese text, including regional variants for Hong Kong and Taiwan standards. It wraps OpenCC's dictionary files without requiring compiled C extensions, making it portable across platforms.

The package offers both a Python API (instantiate an OpenCC converter with a conversion mode like 's2t', then call convert() on text) and a command-line interface for batch file processing. It supports nine conversion modes covering bidirectional conversion between Simplified, Traditional, Hong Kong, and Taiwan standards. The main known limitation is that when multiple conversion options exist for a character or phrase, only the first is used.

Use it for

  • Convert user-generated content or documents from Simplified to Traditional Chinese for Taiwan or Hong Kong audiences
  • Normalize Chinese text in a data pipeline where regional variants need standardization
  • Build a text processing tool that handles Chinese language variants without external C dependencies
  • Process batch files of Chinese text with the command-line interface for format conversion workflows

Worth the install?

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

With conditions

Yes, if you need Chinese character conversion and want a pure-Python solution with no compiled dependencies.

The low install friction and permissive license make it straightforward to adopt. However, the dormant maintenance status (last release February 2023) means you should verify it works with your current Python version and test edge cases before relying on it in production, as bug fixes or updates are unlikely.

Install

opencc-python-reimplemented on PyPI

Before you install

Low friction installation with no runtime dependencies. Maintenance is dormant—last release was in February 2023, over a year ago, though the repository remains active with 571 stars and no archived status.

License in practice

Licensed under Apache License (permissive), allowing commercial and private use with minimal restrictions.

Quickstart

pip install opencc-python-reimplemented

from opencc import OpenCC
cc = OpenCC('s2t')
converted = cc.convert('开放中文转换')

Verify before relying

  • Whether the package handles ambiguous conversions correctly beyond the documented limitation of using only the first option
  • Performance characteristics when processing large volumes of text
  • Compatibility with Python versions beyond 3.5 (classifiers list 3.2–3.5 but current Python is much newer)

Package facts

LicenseApache License permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceDormant 1,280 days since the last release
Last repo commit
First released
Downloads1,883,756 / month, #3,466 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.2Programming Language :: Python :: 3.3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Topic :: Software Development :: Libraries

Evidence: opencc_python_reimplemented-0.1.7-py2.py3-none-any.whl

Tags

Capabilities
chinese character conversionsimplified to traditional chineseopencc pythonchinese text normalizationregional chinese variants
Topics
chinese-nlptext-conversion
PyPI keywords
chineseconversion

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 › “opencc python”

  • opencc-python-reimplementedConverts text between Simplified Chinese, Traditional Chinese, and…
  • OpenCCConverts text between Traditional Chinese, Simplified Chinese, and…
  • eightEight provides a compatibility layer that lets you write Python 3…

Give your agent the search over MCP, or paste the wish link into any chat.

More Libraries packages

urllib3 Worth it
PyPI · Libraries · released May 2026

urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.

MITpure Python · 3.10+
1.8Bdownloads / mo
requests Worth it
PyPI · Libraries · released May 2026

Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.

Apache-2.0pure Python · 3.10+
1.8Bdownloads / mo
pluggy Worth it
PyPI · Libraries · released May 2025

Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.

Install it if you're building an extensible application or framework.

MITpure Python · 3.9+aging
1.3Bdownloads / mo
python-dateutil Worth it
PyPI · Libraries · released Mar 2024

Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.

Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.

Apache-2.0pure Python
1.2Bdownloads / mo
six With conditions
PyPI · Libraries · released Dec 2024

Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.

MITpure Python
1.2Bdownloads / mo
pytest Worth it
PyPI · Libraries · released Jun 2026

pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.

MITpure Python · 3.10+
1.1Bdownloads / mo

See also OpenCC · zhconv · hanzidentifier · wetext · jieba · cnocr · zhon · pinyin · cn2an · human-readable