Conch
micro library for async sequential batches (Node/Browser/Deno) , for low memory systems
Install / Use
/learn @barelyhuman/ConchREADME
conch
<p> <img alt="GitHub" src="https://img.shields.io/github/license/barelyhuman/conch?logoColor=000&colorA=000000&colorB=000000"> <a href="https://bundlephobia.com/result?p=@barelyreaper/conch"><img src="https://img.shields.io/bundlephobia/minzip/@barelyreaper/conch?label=bundle%20size&style=flat&colorA=000000&colorB=000000" alt="Build Size"></a> <a href="https://www.npmjs.com/package/@barelyreaper/conch"><img src="https://img.shields.io/npm/v/@barelyreaper/conch?style=flat&colorA=000000&colorB=000000" alt="Version"></a> <a href="https://www.npmjs.com/package/@barelyreaper/conch"><img src="https://img.shields.io/npm/dt/@barelyreaper/conch.svg?style=flat&colorA=000000&colorB=000000" alt="Downloads"></a> </p>micro library for async sequential batches (Node/Browser/Deno)
Install
Node
npm i @barelyreaper/conch
# or
yarn add @barelyreaper/conch
Deno
import {conch} from 'https://cdn.skypack.dev/@barelyreaper/conch';
// or
import {conch} from "https://www.unpkg.com/@barelyreaper/conch/dist/index.mjs"
// or
import {conch} from "https://esm.sh/@barelyreaper/conch"
Usage
Node
const { conch } = require('@barelyreaper/conch')
const data = [
{
item: 1,
},
{
item: 2,
},
{
item: 3,
},
]
function getData(item) {
return new Promise(resolve => {
setTimeout(() => {
resolve(item)
}, 2500)
})
}
// Will take 3 * 2500 , considering there's 3 items and only one can run at once (limit:1)
conch(data, getData, { limit: 1 }).then(data => {
console.log({ data })
})
Deno
import { conch } from "https://esm.sh/@barelyreaper/conch@1.2.0";
const mapper = (item) => {
return new Promise((resolve) => {
setTimeout(() => {
resolve(item * 2);
}, 3000);
});
};
const items = [1, 2, 3];
const result = await conch(items, mapper, {
limit: Math.ceil(items.length / 2),
});
console.log(result); //=>[2,4,6]
Build
yarn # install devDeps
yarn test # check the if the limit is being taken in consideration
yarn build # build the package
Benchmark
Related Skills
node-connect
352.0kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
111.1kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
352.0kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
352.0kQQBot 富媒体收发能力。使用 <qqmedia> 标签,系统根据文件扩展名自动识别类型(图片/语音/视频/文件)。
