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

pelias-labels

v1.19.0

Published

Pelias label generation

Downloads

341

Readme

This repository is part of the Pelias project. Pelias is an open-source, open-data geocoder built by Mapzen that also powers Mapzen Search. Our official user documentation is here.

Pelias Labels

Continuous Integration

Overview

Module that generates labels for Pelias search and geocoding results

Installation

$ npm install pelias-labels

NPM Module

The pelias-labels npm module can be found here:

https://npmjs.org/package/pelias-labels

About

The Pelias Labels module is intended to be used a post-processing step that generates a rules-based label for Pelias search and geocoding results. There are generic label assembly rules for all but the United Kingdom, the United States, Australia, and Canada, which have specific rules.

Examples

The first example is for an address in New York City.

{
  name: '30 West 26th Street',
  house_number: '30',
  street: 'West 26th Street',
  borough: 'Manhattan',
  locality: 'New York City',
  county: 'New York County',
  region: 'New York',
  region_a: 'NY',
  country: 'United States',
  country_a: 'USA'
}

The label uses the name, borough, locality, region, and country, resulting in: 30 West 26th Street, Manhattan, New York City, NY, USA

This next example is for a city in a dependency of the United States.

{
  locality: 'San Juan',
  dependency: 'Puerto Rico',
  dependency_a: 'PR',
  country: 'United States',
  country_a: 'USA'
}

Addresses and places in dependencies don't normally include the country, resulting in: San Juan, PR

The final example is for a neighbourhood in Paris.

{
  neighbourhood: 'Grange aux Belles Terrage',
  locality: 'Paris',
  county: 'Paris-7E-Arrondissement',
  macrocounty: 'Paris-1Er-Arrondissement',
  region: 'Paris',
  macroregion: 'Île-De-France',
  country: 'France',
  country_a: 'FR'
}

Regions aren't normally included in France labels, so the label for this would be: Grange aux Belles Terrage, Paris, France

Configuration

There are no configuration options at this time.

Contributing

This module should be a starting point for contributing to Pelias for those with specific knowledge of how addresses and places are formatted in a specific country. labelSchemas.js exports a map keyed by ISO3 country code, so country-specific rules should be added there.