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

parse-dates

v1.0.7

Published

Easy dates parser that leverages on the power of n-gramify & http://www.datejs.com to parse dates that other parsers would fail. The concept is simple, instead on Regex, tokenize string into 'reducing ngrams' & extract!

Downloads

30

Readme

Extract dates from text

Easy dates parser that leverages on the power of n-gramify, datejs & dehumanize-date to parse dates that other parsers would fail.

The concept is simple, instead on Regex, we tokenize the string into 'reducing ngrams' & then extract dates!

datejs does the initial parsing & then we use dehumanize-date to confirm parsed tokens & format them.


var parse_date = require ( 'parse-dates' )

var s=" Peter was born in 5th january 1994 will be 44 years old next week. "
var parsed=parse_date(s)

console.log(JSON.stringify(parsed,0,4));

Output:


{
    "dates": [
        "1994-01-05T00:00:00.000Z"
    ],
    "string": {
        "in": " Peter was born in 5th january 1994 and will be 44 years old next week. ",
        "out": " Peter was born in 1994-01-05T00:00:00.000Z and will be 44 years old next week. ",
        "annotated": " Peter was born in {DATE: 1994-01-05T00:00:00.000Z} and will be 44 years old next week. "
    }
}