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 🙏

© 2026 – Pkg Stats / Ryan Hefner

@gb-transit/naptan

v1.1.1

Published

Download, cache and read the NaPTAN national stop dataset

Readme

@gb-transit/naptan

Download, cache and read NaPTAN: the DfT's dataset of every public transport access point in Great Britain.

npm install @gb-transit/naptan

Both a rail feed and a bus feed need it to say where a stop actually is, and reading it needs nothing but a CSV parser — so this package depends on nothing else, and a bus converter does not inherit a rail transit model to get a coordinate.

Usage

import {naptanCsv, parseNaptanRows} from "@gb-transit/naptan";

// Cached on disk. The national file is around 100MB and NaPTAN changes slowly,
// so a nightly that fails because the DfT is briefly down has failed for nothing.
const csv = await naptanCsv("/tmp/naptan-cache")();

for (const row of parseNaptanRows(csv, row => row.StopType === "BCT")) {
  console.log(row.ATCOCode, row.CommonName, row.Latitude, row.Longitude);
}

Rows come back by column name, not narrowed to a fixed set of fields: NaPTAN has around forty columns, different consumers want different ones, and the file gains columns between releases. Reading by name is the point — the alternative, which the TransXChange conversion used to do, was to slice out positions [0,1,4,10,14,18,19,29,30] and hope the DfT never reordered anything.

What each consumer does with a row differs enough that it belongs with the consumer: @gb-transit/enrich-naptan reduces the rail records to a coordinate per TIPLOC, transxchange2gtfs indexes every stop a TransXChange document references.