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@notevenaneko/whatlang-node

v1.0.1

Published

Use whatlang-rs in your NodeJS applications.

Downloads

102

Readme

whatlang-node

https://github.com/Cattttttttt/whatlang-node/actions

NodeJS binding of whatlang-rs

Usage

Install

npm install @notevenaneko/whatlang-node

or

yarn add @notevenaneko/whatlang-node

or

pnpm add @notevenaneko/whatlang-node

Detect language

import { detect, LangCode, LangCodeISO6391 } from '@notevenaneko/whatlang-node'

const info = detect(englishInput)

info.lang.code === LangCode.Eng
info.lang.codeISO6391 === LangCodeISO6391.En
info.lang.name === 'English'
info.lang.engName === 'English'

info.script.name === 'Latin'

compareFloat(info.confidence, 1) === true

info.isReliable === true

Allowlist and denylist

import { Detector, LangCode } from '@notevenaneko/whatlang-node'

const normalDetector = new Detector()

const chineseDetector = Detector.withAllowlist([LangCode.Cmn /* or LangCodeISO6391.Zh in ISO639-1 */])

normalDetector.detectLang(englishInput).code === LangCode.Eng

chineseDetector.detectLang(englishInput) === null

const noZhDetector = Detector.withDenylist([LangCode.Cmn /* or LangCodeISO6391.Zh in ISO639-1 */])

normalDetector.detectLang(chineseInput).code === LangCode.Cmn

noZhDetector.detectLang(chineseInput).code === LangCode.Jpn

Support matrix

Operating Systems

| | node14 | node16 | node18 | | ---------------- | ------ | ------ | ------ | | Windows x64 | ✓ | ✓ | ✓ | | Windows x32 | ✓ | ✓ | ✓ | | Windows arm64 | ✓ | ✓ | ✓ | | macOS x64 | ✓ | ✓ | ✓ | | macOS arm64 | ✓ | ✓ | ✓ | | Linux x64 gnu | ✓ | ✓ | ✓ | | Linux x64 musl | ✓ | ✓ | ✓ | | Linux arm gnu | ✓ | ✓ | ✓ | | Linux arm64 gnu | ✓ | ✓ | ✓ | | Linux arm64 musl | ✓ | ✓ | ✓ | | Android arm64 | ✓ | ✓ | ✓ | | Android armv7 | ✓ | ✓ | ✓ | | FreeBSD x64 | ✓ | ✓ | ✓ |

Bench

Name: Apple M1
Vendor String: Apple
Vendor ID: VendorUnknown
PhysicalCores: 8
Threads Per Core: 1
Logical Cores: 8
CPU Family 458787763 Model: 0 Stepping: 0
Features: AESARM,ASIMD,ASIMDDP,ASIMDHP,ASIMDRDM,ATOMICS,CRC32,DCPOP,FCMA,FP,FPHP,GPA,JSCVT,LRCPC,PMULL,SHA1,SHA2,SHA3,SHA512
Microarchitecture level: 0
Cacheline bytes: 128
L1 Instruction Cache: 131072 bytes
L1 Data Cache: 65536 bytes
L2 Cache: 4194304 bytes
L3 Cache: -1 bytes

Running "Detect language" suite...
Progress: 100%

  languagedetect:
    10 799 ops/s, ±3.38%   | slowest, 38.05% slower

  whatlang-node:
    17 432 ops/s, ±0.97%   | fastest

  @notevenaneko/whatlang-node:
    17 294 ops/s, ±0.58%   | 0.79% slower

Finished 3 cases!
  Fastest: whatlang-node
  Slowest: languagedetect

TODO

  • [ ] Complete Script enum and constructor
  • [ ] documentation