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

@avz/csv

v0.1.0

Published

Fast CSV stream parser

Downloads

27

Readme

Fast CSV stream parser for Node.js

Sub-project of jl-sql. Not for external use.

Benchmark results

short-lines {"batch":false} [x500400, 28.2 MiB]: 5.799 sec (13510799 rows, 2329723 rows per cpu user sec)
short-lines {"batch":false,"rtrim":true,"ltrim":true} [x500400, 28.2 MiB]: 6.074 sec (13510799 rows, 2224521 rows per cpu user sec)
short-lines {"batch":true} [x500400, 28.2 MiB]: 3.358 sec (13510799 rows, 4022932 rows per cpu user sec)
large-lines {"batch":false} [x50000, 333.6 MiB]: 4.756 sec (249999 rows, 52565 rows per cpu user sec)
large-lines {"batch":false,"rtrim":true,"ltrim":true} [x50000, 333.6 MiB]: 4.438 sec (249999 rows, 56332 rows per cpu user sec)
large-lines {"batch":true} [x50000, 333.6 MiB]: 4.263 sec (249999 rows, 58641 rows per cpu user sec)
numbers {"batch":true,"detectNumbers":false} [x500152, 25.3 MiB]: 1.292 sec (5001519 rows, 3871987 rows per cpu user sec)
numbers {"batch":true,"detectNumbers":true} [x500152, 25.3 MiB]: 2.452 sec (5001519 rows, 2039630 rows per cpu user sec)
dates {"batch":true,"detectDates":false} [x500129, 60.6 MiB]: 1.390 sec (3000774 rows, 2159063 rows per cpu user sec)
dates {"batch":true,"detectDates":true} [x500129, 60.6 MiB]: 3.316 sec (3000774 rows, 905036 rows per cpu user sec)