Package Health Score

60 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Limited

Popularity

Limited

GitHub Stars: 0
Forks: 0
Contributors: 90

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package ds-opencc, we found that it has been starred ? times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 9, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 5 months ago
Last Commit: 5 months ago

Further analysis of the maintenance status of ds-opencc based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that ds-opencc demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 90
Funding: No

With more than 10 contributors for the ds-opencc repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: ==3.*

Age: 5 months
Latest Release: 5 months ago
Dependencies: N/A
Versions: 4
Maintainers: 1
Wheels: Linux, macOS, Windows

Readme

Open Chinese Convert 開放中文轉換

Introduction 介紹

本 fork 在原仓库基础上添加了 MacOS arm64 架构的 wheel 包相关构建逻辑。

OpenCC

Open Chinese Convert (OpenCC, 開放中文轉換) is an opensource project for conversions between Traditional Chinese, Simplified Chinese and Japanese Kanji (Shinjitai). It supports character-level and phrase-level conversion, character variant conversion and regional idioms among Mainland China, Taiwan and Hong Kong. This is not translation tool between Mandarin and Cantonese, etc.

中文簡繁轉換開源項目，支持詞彙級別的轉換、異體字轉換和地區習慣用詞轉換（中國大陸、臺灣、香港、日本新字體）。不提供普通話與粵語的轉換。

Discussion (Telegram): https://t.me/open_chinese_convert

Features 特點

嚴格區分「一簡對多繁」和「一簡對多異」。
完全兼容異體字，可以實現動態替換。
嚴格審校一簡對多繁詞條，原則爲「能分則不合」。
支持中國大陸、臺灣、香港異體字和地區習慣用詞轉換，如「裏」「裡」、「鼠標」「滑鼠」。
詞庫和函數庫完全分離，可以自由修改、導入、擴展。

Installation 安裝

See Download.

Usage 使用

Online demo 線上轉換展示

Warning: This is NOT an API. You will be banned if you make calls programmatically.

https://opencc.byvoid.com/

Node.js

npm npm install opencc

JavaScript

const OpenCC = require('opencc');
const converter = new OpenCC('s2t.json');
converter.convertPromise("汉字").then(converted => {
  console.log(converted);  // 漢字
});

TypeScript

import { OpenCC } from 'opencc';
async function main() {
  const converter: OpenCC = new OpenCC('s2t.json');
  const result: string = await converter.convertPromise('汉字');
  console.log(result);
}

See demo.js and ts-demo.ts.

Python

PyPI pip install ds_opencc (Windows, Linux, Mac)

import ds_opencc
converter = ds_opencc.OpenCC('s2t.json')
converter.convert('汉字')  # 漢字

C++

#include "opencc.h"

int main() {
  const opencc::SimpleConverter converter("s2t.json");
  converter.Convert("汉字");  // 漢字
  return 0;
}

C

#include "opencc.h"

int main() {
  opencc_t opencc = opencc_open("s2t.json");
  const char* input = "汉字";
  char* converted = opencc_convert_utf8(opencc, input, strlen(input));  // 漢字
  opencc_convert_utf8_free(converted);
  opencc_close(opencc);
  return 0;
}

Document 文檔: https://byvoid.github.io/OpenCC/

Command Line

opencc --help
opencc_dict --help
opencc_phrase_extract --help

Others (Unofficial)

Swift (iOS): SwiftyOpenCC
iOSOpenCC (pod): iOSOpenCC
Java: opencc4j
Android: android-opencc
PHP: opencc4php
Pure JavaScript: opencc-js
WebAssembly: wasm-opencc
Browser Extension: opencc-extension
Go (Pure): OpenCC for Go
Dart (native-assets): opencc-dart

Configurations 配置文件

預設配置文件

s2t.json Simplified Chinese to Traditional Chinese 簡體到繁體
t2s.json Traditional Chinese to Simplified Chinese 繁體到簡體
s2tw.json Simplified Chinese to Traditional Chinese (Taiwan Standard) 簡體到臺灣正體
tw2s.json Traditional Chinese (Taiwan Standard) to Simplified Chinese 臺灣正體到簡體
s2hk.json Simplified Chinese to Traditional Chinese (Hong Kong variant) 簡體到香港繁體
hk2s.json Traditional Chinese (Hong Kong variant) to Simplified Chinese 香港繁體到簡體
s2twp.json Simplified Chinese to Traditional Chinese (Taiwan Standard) with Taiwanese idiom 簡體到繁體（臺灣正體標準）並轉換爲臺灣常用詞彙
tw2sp.json Traditional Chinese (Taiwan Standard) to Simplified Chinese with Mainland Chinese idiom 繁體（臺灣正體標準）到簡體並轉換爲中國大陸常用詞彙
t2tw.json Traditional Chinese (OpenCC Standard) to Taiwan Standard 繁體（OpenCC 標準）到臺灣正體
hk2t.json Traditional Chinese (Hong Kong variant) to Traditional Chinese 香港繁體到繁體（OpenCC 標準）
t2hk.json Traditional Chinese (OpenCC Standard) to Hong Kong variant 繁體（OpenCC 標準）到香港繁體
t2jp.json Traditional Chinese Characters (Kyūjitai) to New Japanese Kanji (Shinjitai) 繁體（OpenCC 標準，舊字體）到日文新字體
jp2t.json New Japanese Kanji (Shinjitai) to Traditional Chinese Characters (Kyūjitai) 日文新字體到繁體（OpenCC 標準，舊字體）
tw2t.json Traditional Chinese (Taiwan standard) to Traditional Chinese 臺灣正體到繁體（OpenCC 標準）

Build 編譯

Build with CMake

Linux & Mac OS X

g++ 4.6+ or clang 3.2+ is required.

make

Windows Visual Studio:

build.cmd

Test 測試

Linux & Mac OS X

make test

Windows Visual Studio:

test.cmd

Benchmark 基準測試

make benchmark

Example results (from Github CI):

1: ------------------------------------------------------------------
1: Benchmark                        Time             CPU   Iterations
1: ------------------------------------------------------------------
1: BM_Initialization/hk2s        1.56 ms         1.56 ms          442
1: BM_Initialization/hk2t       0.144 ms        0.144 ms         4878
1: BM_Initialization/jp2t       0.260 ms        0.260 ms         2604
1: BM_Initialization/s2hk        23.8 ms         23.8 ms           29
1: BM_Initialization/s2t         25.6 ms         25.6 ms           28
1: BM_Initialization/s2tw        24.0 ms         23.9 ms           30
1: BM_Initialization/s2twp       24.6 ms         24.6 ms           28
1: BM_Initialization/t2hk       0.052 ms        0.052 ms        12897
1: BM_Initialization/t2jp       0.141 ms        0.141 ms         5012
1: BM_Initialization/t2s         1.30 ms         1.30 ms          540
1: BM_Initialization/tw2s        1.39 ms         1.39 ms          529
1: BM_Initialization/tw2sp       1.69 ms         1.69 ms          426
1: BM_Initialization/tw2t       0.089 ms        0.089 ms         7707
1: BM_Convert2M                   582 ms          582 ms            1
1: BM_Convert/100                1.07 ms         1.07 ms          636
1: BM_Convert/1000               11.0 ms         11.0 ms           67
1: BM_Convert/10000               113 ms          113 ms            6
1: BM_Convert/100000             1176 ms         1176 ms            1

Projects using OpenCC 使用 OpenCC 的項目

License 許可協議

Apache License 2.0

Third Party Library 第三方庫

darts-clone BSD License
marisa-trie BSD License
tclap MIT License
rapidjson MIT License
Google Test BSD License

All these libraries are statically linked by default.

Change History 版本歷史

NEWS

Links 相關鏈接

Introduction 詳細介紹 https://github.com/BYVoid/OpenCC/wiki/緣由
現代漢語常用簡繁一對多字義辨析表 http://ytenx.org/byohlyuk/KienxPyan

Contributors 貢獻者

Please feel free to update this list if you have contributed OpenCC.

FAQs

What is ds-opencc?

Conversion between Traditional and Simplified Chinese. Visit Snyk Advisor to see a full health score report for ds-opencc, including popularity, security, maintenance & community analysis.

Is ds-opencc popular?

We’re still processing downloads data for the python package ds-opencc. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is ds-opencc well maintained?

We found indications that ds-opencc maintenance is sustainable demonstrating some project activity. We saw a total of 90 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is ds-opencc safe to use?

The python package ds-opencc was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 23 November-2024, at 11:19 (UTC).

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Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

Open Chinese Convert 開放中文轉換

Introduction 介紹

Features 特點

Installation 安裝

Usage 使用

Online demo 線上轉換展示

Node.js

JavaScript

TypeScript

Python

C++

C

Command Line

Others (Unofficial)

Configurations 配置文件

預設配置文件

Build 編譯

Build with CMake

Linux & Mac OS X

Windows Visual Studio:

Test 測試

Linux & Mac OS X

Windows Visual Studio:

Benchmark 基準測試

Projects using OpenCC 使用 OpenCC 的項目

License 許可協議

Third Party Library 第三方庫

Change History 版本歷史

Links 相關鏈接

Contributors 貢獻者

FAQs

What is ds-opencc?

Is ds-opencc popular?

Is ds-opencc well maintained?

Is ds-opencc safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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