Getting found · Independent · 23 Oct 2026

sapics/ip-location-db

ip to location database by ASN, GeoFeed, Whois, iptoasn.com, db-ip lite, GeoLite2

← Getting found
IP Location Database. IP to location files updated daily.

In simple English

This project gives you downloadable files that match internet internet protocol addresses to countries, cities and network names. You can use these files to find out where your website visitors come from. The files update automatically every single day. Some files are free to use without any credit required. Other files come from different providers and carry their own rules.

What it is

A collection of regularly updated geolocation datasets packaged in standard CSV and MMDB formats for offline lookups. It aggregates public routing archives and regional registry statistics to build permissive country and network databases.

What it is good for

Solo builders who need to geo-locate website visitors, block specific countries, or analyze server traffic without paying for a commercial service.

Stars2.2k
LicenceNo licence file
Latestlatest (2026-06-13)checked 23 Oct 2026
Last code change2026-10-23
Written inJavaScript
Setup effort
1 / 5
Payoff
4 / 5
Good
  • Updated daily from open routing archives and public registries.
  • Available in both simple CSV and fast MMDB database formats.
  • Includes permissive options that do not require attribution.
Watch for
  • Requires writing or using existing code to query the files.
  • Larger city databases need several hundred megabytes of disk space.
  • Different source files carry different licences that you must follow.
Replaces

Paid MaxMind GeoIP subscriptions or commercial geolocation APIs.

Works well with

MaxMind database reader libraries in Python, Go, or Node.js.

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How to get it

Download the CSV or MMDB files directly from the GitHub releases page for use in your own application.

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Data & Research › Data Enrichment & Collection › Data Enrichment.

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