npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

asyncier

v0.1.1

Published

A helper library for working with async iterables in JavaScipt

Downloads

3

Readme

Asyncier

A helper library for working with async iterables in JavaScipt

Built with Typescript

Installation

npm install asyncier

Functions

fetchNext

Wraps an AsyncIterable so that when a record is fetched the next one is immediately requested. This can be used to eliminate latency by waiting on the next page of data while the previous one is being processed. This will only request one record at a time and will never make multiple concurrent calls.

Arguments

items: AsyncIterable<T> Async list if items

returns AsyncIterable<T> Async list of items where 1 record is always pre-requested

Example

import { fetchNext } from 'asyncier';

const pages: AsyncIterable<MyData> = loadFromServer(...);
const prefetched = fetchNext(pages);

for await (const page of prefetched) {
  await writeData(page);
}

// Without pre-fetching there is a lot of latency
// Load   1===     2===      3===      4===      5===
// Write       1===     2===      3===      4===      5===

// Pre-fetching removes latency
// Load 1=== 2=== 3=== 4=== 5=== 6=== 7=== 8=== 9===
// Save      1=== 2=== 3=== 4=== 5=== 6=== 7=== 8=== 9===

For most scenarios you will only need to pre-load one page. However if you'd like to buffer mulitple pages you can do so by pipe-ing fetchNext to itself multiple times. Calls will still be made sequentially so you will never have multiple concurrent calls pending, but it will continue attempting to load additional pages into memory until the minimum is met.

import { fetchNext } from 'asyncier';
import { pipe } from 'ramda';

// Fetch up to 3 pages of data and hold in memory
const fetch3 = pipe(fetchNext, fetchNext, fetchNext);

const pages = loadFromServer(...);
const prefetched = fetch3(pages);

for await (const page of prefetched) {
  await writeData(page);
}

This is not an optimized approach so it should be limited to a few calls. If you need to buffer many objects you are probably better off implementing a custom Stream.