just another .mmdb
The project is discontinued.
This is another .mmdb which initially is build to verify existing geo data with real measurements.
However it works like any other .mmdb you can find on the Internet.
The goal is to update this .mmdb weekly.
You can get the .mmdb here: https://yammdb.serv.app/geo.mmdb
Raw data can be found here: https://raw.serv.app/
Limitations
- This is not convering the entire IPv4 space, roughtly from 975k routed subnets, we have data on about 717k.
- 1.1.1.1 like any other anycast IP will return incorrect data, the IP has to be unicast
Locations
Currently we have Servers in the following locations, we use to take measurements.
| Continent | Country | City | Info |
|---|---|---|---|
| EU | UK | London | |
| EU | NL | Amsterdam | |
| EU | DE | Frankfurt | |
| EU | FR | Paris | Thanks to Bunny |
| EU | CZ | Prague | Thanks to Skylonhost |
| EU | PL | Warsaw | Thanks to Webhorizon |
| EU | AT | Vienna | |
| EU | CH | Zurich | |
| EU | ES | Madrid | Thanks to Ginernet |
| EU | RU | Moscow | |
| EU | TR | Istanbul | Thanks to Rabisu |
| NA | US | New York | |
| NA | US | Seattle | |
| NA | US | Miami | |
| NA | US | Dallas | |
| SA | BR | Sao Paulo | Thanks to Misaka |
| AF | NG | Lagos | Thanks to Misaka |
| AS | RU | Novosibirsk | |
| AS | JP | Tokyo | CN2 |
| AS | CN | Hong Kong | CN2 |
| AS | IN | Mumbai | |
| AS | PK | Pakistan | Thanks to Virtury |
| AS | SG | Singapore | |
| OC | AU | Sydney | Thanks to Advinservers |
This list will likely be expanded, if you want to sponsor us a virtual server for this, you can hit me up.
Structure
The Datastructure is the following.
| Name | Type | Description |
|---|---|---|
| iso_code | string | ISO 3166-1, Alpha2 |
| continent_code | string | NA, SA, AF, EU, AS, OC |
| location(latitude,longitude) | double | WGS |
| accuracy_radius | double | latency (ms) |
Install dependencies for python example
pip3 install geoip2
Example
Reading the data is as easy as:
import geoip2.database
reader = geoip2.database.Reader("geo.mmdb")
response = reader.city("1.1.1.1")
print("Continent",response.continent.code)
print("Country",response.country.iso_code)
print("Latitude",response.location.latitude,"Longitude",response.location.longitude)
print(f"Latency {response.location.accuracy_radius}ms")
Currently accuracy_radius is used for the latency measured, since custom fields are not possible in the default reader.