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

geojson2postgres

v1.1.2

Published

Insert a GeoJSON file into PostgreSQL

Readme

geojson2postgres

Copy a geojson file to PostgreSQL

This package supports both a command line interface as well as a programmable API.

Command Line

To install:

npm install -g geojson2postgres

To run:

geojson2postgres <filename> <args> | psql <db>

args:
  --create (-c): drop the database if it exists and recreate it
  --file (-f) <filename>: the GeoJSON file to be processed
  --tablename (-t) <tablename>: the name of the SQL table to be created (defaults to the name of the GeoJSON file)

API

copyToDB(tablename, file, schema, emitRow)

Process a GeoJSON file and generate a PostgreSQL script to insert each feature into a database

Kind: global function

| Param | Type | Description | | --- | --- | --- | | tablename | string | Name of table to create in the database (table should not already exist) | | file | string | Name of the input GeoJSON file | | schema | Array.<{name: string, type: string}> | The schema of the table to be created. name is a column name and type is the type for that column | | emitRow | function | A function that takes in a single GeoJSON feature and returns an object where the keys are column names defined in the schema and the values are the values to be entered into each column |

Example

copyToDB({
	tablename : 'columbian_municipalities',
	file : process.argv[2],
	schema : [{name : 'department', type : 'text'}, {name : 'municipality', type : 'text'}],
	emitRow : function(feature){
		return {
			municipality : feature.properties.NOMBRE_MPI,
			department : feature.properties.NOMBRE_DPT
		};
	},
})

Where the json file looks something like:

{
  "type": "FeatureCollection",
  "crs": {
    "type": "name",
    "properties": {
      "name": "urn:ogc:def:crs:OGC:1.3:CRS84"
    }
  },
  "features": [
    {
      "type": "Feature",
      "properties": {
        "AREA": 7516765785.590000,
        "PERIMETER": 475636.130236,
        "WCOLGEN02_": 2,
        "WCOLGEN021": 566,
        "DPTO": "44",
        "NOMBRE_DPT": "LA GUAJIRA",
        "MPIO": "847",
        "NOMBRE_MPI": "URIBIA",
        "NOMBRE_CAB": "URIBIA",
        "CLASEMUN": "CM",
        "MPIOS": "44847",
        "ZONA": "ZONA06",
        "OF_REG": "DABAR",
        "REG_ZONAS": "DABARZONA06",
        "HECTARES": 751676.579000
      },
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [
            [
              -71.416042649212045,
              11.786808467660752
            ],
    		...
            [
              -71.416042649212045,
              11.786808467660752
            ]
          ]
        ]
      }
    }
  ]
}