geoip2fast 1.2.0

GeoIP2Fast is the fastest GeoIP2 country/city/asn lookup library that supports IPv4 and IPv6. A search takes less than 0.00003 seconds. It has its own data file updated twice a week with Maxmind-Geolite2-CSV, supports IPv4/IPv6 and is Pure Python!

GeoIP2Fast v1.2.0

GeoIP2Fast is the fastest GeoIP2 country/city/asn lookup library. A search takes less than 0.00003 seconds. It has its own data file updated with Maxmind-Geolite2-CSV, supports IPv4 and IPv6, works on Python3, Pypy3 and is Pure Python!

With it´s own datafile (geoip2fast.dat.gz), can be loaded into memory in ~0.07 seconds and has a small footprint for all data, so you don´t need to make requests to any webservices or connect to an external database. And it works on Linux, Windows and MacOS!

GeoIP2Fast returns ASN NAME, COUNTRY ISO CODE, COUNTRY NAME, CITY NAME/STATE/DISTRICT and CIDR. There is no external dependencies, you just need the geoip2fast.py file and the desired data file .dat.gz. The lookup speed is the same for any data file.

Content	File Name	File Size	Load Time	RAM Footprint
Country IPv4	geoip2fast.dat.gz	1.2 MiB	~0.04 sec	~22.0 MiB
Country IPv4+IPv6	geoip2fast-ipv6.dat.gz	1.8 MiB	~0.07 sec	~41.0 MiB
Country+ASN IPv4	geoip2fast-asn.dat.gz	2.3 MiB	~0.08 sec	~40.0 MiB
Country+ASN IPv4+IPv6	geoip2fast-asn-ipv6.dat.gz	3.1 MiB	~0.15 sec	~97.0 MiB

City databases are not included in the pip installation package, you need to download them manually from github releases or create them yourself using geoip2dat.py. You just need to save the desired file in your application directory and the GeoIP2Fast() class will look for the file first in your code directory, then in the library directory. City data already includes country data.

Download Content	File Name	File Size	Load Time	RAM Footprint
City IPv4	geoip2fast-city.dat.gz	12 MiB	~0.50 sec	~270.0 MiB
City IPv4+IPv6	geoip2fast-city-ipv6.dat.gz	14 MiB	~0.60 sec	~400.0 MiB
City+ASN IPv4	geoip2fast-city-asn.dat.gz	13 MiB	~0.60 sec	~310.0 MiB
City+ASN IPv4+IPv6	geoip2fast-city-asn-ipv6.dat.gz	17 MiB	~0.70 sec	~430.0 MiB

If you are using pypy3, the loading time will increase a little, but the speed will be a little faster and the memory footprint will be lower.

The new v1.2.0 databases are not compatible with versions equal to or older than v1.1.9, and vice versa, obviously. The last version with support only for countries and ASN only is v1.1.9, which is still available via pip install geoip2fast==1.1.9. The v1.1.9 code is faster than v1.2.0 because it does not have some necessary checks for the database with support for cities. On an Intel Core i7 processor, version v1.1.9 can perform 220K lookups per second, while version v1.2.0 does around 120K lookups per second. Both remain the fastest.

When using it as a Python library, if you want to load a file other than geoip2fast.dat.gz, you simply create the object by typing the name of the file you want to work with. The library first looks for the given file in the current directory and then in the library directory. If desired, you can directly specify the path. Example:

>>> from geoip2fast import GeoIP2Fast
>>> geoip = GeoIP2Fast(geoip2fast_data_file="/my_data_files_path/geoip2fast-city-asn-ipv6.dat.gz",verbose=True)
GeoIP2Fast v1.2.0 is ready! geoip2fast-city-asn-ipv6.dat.gz loaded with 4.488.721 networks in 0.54506 seconds and using 426.28 MiB.
>>> print(geoip.lookup("191.251.128.1").pp_json())
{
   "ip": "191.251.128.1",
   "country_code": "BR",
   "country_name": "Brazil",
   "city": {
      "name": "Araraquara",
      "subdivision_code": "SP",
      "subdivision_name": "Sao Paulo"
   },
   "cidr": "191.251.128.0/20",
   "hostname": "",
   "asn_name": "TELEFONICA BRASIL S.A",
   "asn_cidr": "191.250.0.0/15",
   "is_private": false,
   "elapsed_time": "0.000147356 sec"
}
>>> geoip.get_database_path()
'/my_data_files_path/geoip2fast-city-asn-ipv6.dat.gz'
>>>
>>> result = geoip.lookup("3.2.35.65")
>>> result.city.name
'São Paulo'
>>> result.city.subdivision1_code
'SP'
>>> result.country_name
'Brazil'
>>> result.country_code
'BR'
>>> result.asn_name
'AMAZON-02'
>>> result.elapsed_time
'0.000011612 sec'
>>>
>>> result = geoip.lookup("10.20.30.40")
>>> result.country_name
'Private Network Class A'
>>> result.cidr
'10.0.0.0/8'
>>> result.is_private
True
>>>

If you call geoip2fast from command line, it´s only use geoip2fast.dat.gz file, so if you want more data like CITY NAMES, ASN or IPv6 support, you have to copy the respective file over geoip2fast.dat.gz file.

You can create your own dat.gz file using geoip2dat.py file or you can also download the latest dat files for version v1.2.X that are updated automatically on Tuesdays and Fridays around 20pm GMT.

All legacy v1.1.9 data files will also be updated twice a week, but will be published at this link: DAT FILES FOR GEOIP2FAST v1.1.9

What's new in v1.2.0 - 27/Nov/2023
- DAT files updated with MAXMIND:GeoLite2-CSV_20231124
- CITY NAMES SUPPORT! We are fast and complete! beard, hair and mustache!
- To don´t increase the package size, the CITY files were 
  not included in the PyPI installation. If you need city names support 
  with/without ASN or with IPv6, you have to create by your own OR download at 
  https://github.com/rabuchaim/geoip2fast/releases/latest
- Significant changes in geoip2dat.py file. Read the new instructions!
- Data files generated with version 1.1.X will no longer work in versions 1.2.X
  Legacy dat.gz files will continue to be created and made available twice a week
  at the URL https://github.com/rabuchaim/geoip2fast/releases/tag/LEGACY_v1.1.9
- Changes to the "source info" information of geoip2fast.py files. Nothing for
  worry unless you use this information. The --source-info option
  still working, but it is hidden in the geoip2dat.py menu.
- New property "asn_cidr"
- Fix in memory usage under MacOS
- When trying to load a non-existent file it now raise an exception. Previously,
  the default file was loaded and no message was displayed.
- a new method to return the path of the dat.gz file that is currently being used
    from geoip2fast import GeoIP2Fast
    G = GeoIP2Fast(geoip2fast_data_file="/tmp/geoip2fast-asn.dat.gz")
    G.get_database_path()

- UNDER TESTS! try running "geoip2fast --download-dat" in your console ;-)
  It will download the most recent dat.gz files from the release repository and 
  save it in the library directory. Please, provide a feedback if you got any error.

With geoip2fast-city-asn-ipv6.dat.gz (with country, asn and IPv6):

With the traditional geoip2fast.dat.gz (only country, no asn, no IPv6):

Installation

pip install geoip2fast

Or cloning from Github

git clone https://github.com/rabuchaim/geoip2fast.git

python geoip2fast/setup.py

How does it work?

GeoIP2Fast has 6 datafiles included. Tha main file is geoip2fast.dat.gz with support Country lookups and only IPv4. Usually, these files are located into the library directory (/usr/local/lib/python3.XX/dist-packages/geoip2fast), but you can place it into the same directory of your application. The library automatically checks both paths, And the directory of your application overlaps the directory of the library. You can use an specific location also.

The bisect() function is used together with some ordered lists of integers to search the Network/CountryCode (Yes! an IP address has an integer representation, try to ping this number: ping 134744072 or this ping 2130706433 ).

If GeoIP2Fast does not have a network IP address that was requested, a "not found in database" error will be returned. Unlike many other libraries that when not finding a requested network, gives you the geographical location of the network immediately below. The result is not always correct.

Data file updates are made available twice a week in our github releases. Files with City data and IPv6 support can also be downloaded there.

There are network gaps in the files we use as a source of data, and these missing networks are probably addresses that those responsible have not yet declared their location. Of all IPv4 on the internet (almost 4.3 billions IPs), our coverage is around 99.64% and we do not have information on approximately 15 million of them (~0,36%). It must be remembered that the geographical accuracy is the responsibility of the network block owners. If the owner (aka ASN) of the XXX.YYY.ZZZ.D/24 network range declares that his network range is located at "Foo Island", we must believe that an IP address of that network is there.

Don't go to Foo Island visit a girl you met on the internet just because you looked up her IP on GeoIP2Fast and the result indicated that she is there.

Quick Start

Once the object is created, GeoIP2Fast loads automatically all needed data into memory. The lookup function returns an object called GeoIPDetail. And you can get the values of it's properties just calling the name of proprerty: result.ip, result.country_code, result.country_name, result.cidr, result.is_private, result.asn_name and result.elapsed_time. Or use the function to_dict() to get the result as a dict. You can get values like result.to_dict()['country_code']

At the moment of creation, you can define which data you want to use. Country+IPv4, Country+IPv4+IPv6, Country+ASN+IPv4 or Country+ASN+IPv4+IPv6. If don´t specify any file, the default geoip2fast.dat.gz will be used.

from geoip2fast import GeoIP2Fast

GEOIP = GeoIP2Fast()
result = GEOIP.lookup("200.204.0.10")
print(result)

# to use the country_code property
print(result.country_code)

# to print the ASN name property
print(result.asn_name)

# Before call the function get_hostname(), the property hostname will always be empty.
print("Hostname: "+result.hostname)
result.get_hostname()
print("Hostname: "+result.hostname)

# to work with output as a dict, use the function to_dict()
print(result.to_dict()['country_code'],result.to_dict()['country_name'])

# to check the date of the CSV files used to create the .dat file
print(GEOIP.get_source_info())

# to show the path of current loaded dat file
print(GEOIP.get_database_path())

# info about internal cache
print(GEOIP.cache_info())

# clear the internal cache
print(GEOIP.clear_cache())

# to see the difference after clear cache
print(GEOIP.cache_info())

There is a method to pretty print the result as json.dumps():

>>> result = MyGeoIP.lookup("191.251.128.1")
>>> print(result.pp_json())
{
   "ip": "191.251.128.1",
   "country_code": "BR",
   "country_name": "Brazil",
   "city": {
      "name": "Araraquara",
      "subdivision_code": "SP",
      "subdivision_name": "Sao Paulo"
   },
   "cidr": "191.251.128.0/20",
   "hostname": "",
   "asn_name": "TELEFONICA BRASIL S.A",
   "asn_cidr": "191.250.0.0/15",
   "is_private": false,
   "elapsed_time": "0.000147356 sec"
}

or simply: result.pp_json(print_result=True)

To see the start-up line without set verbose=True :

>>> from geoip2fast import GeoIP2Fast
>>> G = GeoIP2Fast()
>>> G.startup_line_text
'GeoIP2Fast v1.2.0 is ready! geoip2fast.dat.gz loaded with 459.270 networks in 0.03393 seconds and using 25.25 MiB.'
>>>

As mentioned, you can load a different dat file anytime:

>>> from geoip2fast import GeoIP2Fast
>>> G = GeoIP2Fast(geoip2fast_data_file="geoip2fast-asn-ipv6.dat.gz",verbose=True)
GeoIP2Fast v1.2.0 is ready! geoip2fast-asn-ipv6.dat.gz loaded with 753.871 networks in 0.14634 seconds and using 91.18 MiB.
>>> G.lookup("2a02:26f0:6d00:5bc::b63")
{'ip': '2a02:26f0:6d00:5bc::b63', 'country_code': 'NL', 'country_name': 'The Netherlands', 'cidr': '2a02:26f0:6d00::/40', 'hostname': '', 'asn_name': 'Akamai International B.V.', 'asn_cidr': '2a02:26f0:6800::/37', 'is_private': False, 'elapsed_time': '0.000197544 sec'}
>>>

Private/Reserved networks were included in the database just to be able to provide an answer if one of these IPs is searched. When it happens, the country_code will return "--", the "network name" will be displayed in the country_name and the range of that network will be displayed in the cidr property, and the property is_private is setted to True.

>>> from geoip2fast import GeoIP2Fast
>>> geoip = GeoIP2Fast(verbose=True)
'GeoIP2Fast v1.2.0 is ready! geoip2fast.dat.gz loaded with 459.270 networks in 0.03393 seconds and using 25.25 MiB.'
>>>
>>> G.lookup("10.20.30.40")
{'ip': '10.20.30.40', 'country_code': '--', 'country_name': 'Private Network Class A', 'cidr': '10.0.0.0/8', 'hostname': '', 'asn_name': 'IANA.ORG', 'asn_cidr': '10.0.0.0/8', 'is_private': True, 'elapsed_time': '0.000015946 sec'}
>>> G.lookup("169.254.10.20")
{'ip': '169.254.10.20', 'country_code': '--', 'country_name': 'APIPA Automatic Priv.IP Addressing', 'cidr': '169.254.0.0/16', 'hostname': '', 'asn_name': 'IANA.ORG', 'asn_cidr': '169.254.0.0/16', 'is_private': True, 'elapsed_time': '0.000093106 sec'}
>>>

You can change the behavior of what will be returned in country_code property of "private networks" and for "networks not found":

>>> from geoip2fast import GeoIP2Fast
>>> G = GeoIP2Fast()
>>> G.set_error_code_private_networks("@@")
'@@'
>>> G.lookup("10.20.30.40")
{'ip': '10.20.30.40', 'country_code': '@@', 'country_name': 'Private Network Class A', 'cidr': '10.0.0.0/8', 'hostname': '', 'asn_name': 'IANA.ORG', 'asn_cidr': '10.0.0.0/8', 'is_private': True, 'elapsed_time': '0.000144236 sec'}
>>>
>>> G.set_error_code_network_not_found("##")
'##'
>>> G.lookup("23.142.129.0")
{'ip': '23.142.129.0', 'country_code': '##', 'country_name': '<not found in database>', 'cidr': '', 'hostname': '', 'asn_name': '', 'asn_cidr': '', 'is_private': False, 'elapsed_time': '0.000012352 sec'}
>>>

You can use it as a CLI also from any path:

# geoip2fast
GeoIP2Fast v1.2.0 Usage: geoip2fast.py [-h] [-v] [-d] <ip_address_1>,<ip_address_2>,<ip_address_N>,...
# geoip2fast 9.9.9.9,15.20.25.30 -d
{
   "ip": "9.9.9.9",
   "country_code": "US",
   "country_name": "United States",
   "cidr": "9.9.9.9/32",
   "hostname": "dns9.quad9.net",
   "asn_name": "",
   "asn_cidr": "",
   "is_private": false,
   "elapsed_time": "0.000034214 sec",
   "elapsed_time_hostname": "0.001079759 sec"
}
{
   "ip": "15.20.25.30",
   "country_code": "US",
   "country_name": "United States",
   "cidr": "15.0.0.0/10",
   "hostname": "<Unknown host>",
   "asn_name": "",
   "asn_cidr": "",
   "is_private": false,
   "elapsed_time": "0.000022537 sec"
}
# geoip2fast "2.3.4.5, 4.5.6.7, 8.9.10.11" | jq -r '.country_code'
FR
US
US
# geoip2fast 8.8.8.8,1.1.1.1,200.204.0.10 -d | jq -r '.hostname'
dns.google
one.one.one.one
resolver1.telesp.net.br

Using your own networks

For the next version, I´m planning to create an option to include your own networks in the database. For example, imagine you have a large private network on AWS, and each subnet is in a different region. You will be able to include them in the database to use GeoIP2Fast in your application. For now, you can edit the reservedNetworks variable at the beginning of the geoip2dat.py file and then generate your own data file.

How fast is it?

With an virtual machine with 1 CPU and 4Gb of RAM, we have lookups lower than 0,00003 seconds. And if the lookup still in library´s internal cache, the elapsed time goes down to 0,000003 seconds. GeoIP2Fast can do more than 100K queries per second, per core. It takes less than 0,07 seconds to load the datafile into memory and get ready to lookup. Use verbose=True to create the object GeoIP2Fast to see the spent time to start.

Now some tests are included in the geoip2fast.py file.

Note: Of all tests, only --coverage [-v] test has IPv6 support. GeoIP2Fast has around 0.40% of coverage of all IPv6. All IPv6 networks have a total of 340.282.366.920.938.463.463.374.607.431.768.211.456 possible IPs (three hundred forty undecillion two hundred eighty-two decillion three hundred sixty-six nonillion nine hundred twenty octillion nine hundred thirty-eight septillion four hundred sixty-three sextillion four hundred sixty-three quintillion three hundred seventy-four quadrillion six hundred seven trillion four hundred thirty-one billion seven hundred sixty-eight million two hundred eleven thousand four hundred fifty-four IPs).

# geoip2fast -h
GeoIP2Fast v1.2.0 Usage: geoip2fast.py [-h] [-v] [-d] <ip_address_1>,<ip_address_2>,<ip_address_N>,...

Tests parameters:
  --self-test         Starts a self-test with some randomic IP addresses.
  --self-test-city    Starts a self-test with some randomic IP addresses and with city names support.
  --speed-test        Do a speed test with 1 million on randomic IP addresses.
  --random-test       Start a test with 1.000.000 of randomic IPs and calculate a lookup average time.

  --coverage [-v]     Shows a statistic of how many IPs are covered by current dat file.
  --missing-ips [-v]  Print all IP networks that doesn't have geo information (only for IPv4).

More options:
  -d                  Resolve the DNS of given IP address.
  -h                  Show this help text.
  -v                  Verbose mode.
  -vvv                Shows the location of current dat file.

geoip2fast --self-test

# geoip2fast --self-test
GeoIP2Fast v1.2.0 is ready! geoip2fast.dat.gz loaded with 459.270 networks in 0.09268 seconds and using 71.04 MiB.

Starting a self-test...

> 266.266.266.266          <invalid ip address>           [0.000018189 sec]  Cached > [0.000003038 sec]
> 192,0x0/32               <invalid ip address>           [0.000002468 sec]  Cached > [0.000001868 sec]
> 10.20.30.40           -- Private Network Class A        [0.000020032 sec]  Cached > [0.000001231 sec] IANA.ORG
> 38.174.13.98          CA Canada                         [0.000015079 sec]  Cached > [0.000001414 sec] AS-NSL-261
> 102.195.139.98        -- <not found in database>        [0.000004650 sec]  Cached > [0.000000471 sec]
> 139.5.38.161          IN India                          [0.000012635 sec]  Cached > [0.000000845 sec] Five network Broadband Solution Pvt Ltd
> 4.219.112.222         NO Norway                         [0.000009926 sec]  Cached > [0.000000727 sec] MICROSOFT-CORP-MSN-AS-BLOCK
> 137.44.167.24         GB United Kingdom                 [0.000009575 sec]  Cached > [0.000000663 sec] Jisc Services Limited
> 28.92.226.103         US United States                  [0.000009599 sec]  Cached > [0.000000605 sec] DNIC-AS-00749
> 180.115.120.126       CN China                          [0.000010468 sec]  Cached > [0.000000702 sec] Chinanet
(.....)

geoip2fast --speed-test

# geoip2fast --speed-test
GeoIP2Fast v1.2.0 is ready! geoip2fast.dat.gz loaded with 459.270 networks in 0.09292 seconds and using 71.05 MiB.

Calculating current speed... wait a few seconds please...

Current speed: 143159.49 lookups per second (1.000.000 IPs with an average of 0.000006985 seconds per lookup) [6.98522 sec]

geoip2fast --coverage

# geoip2fast --coverage
GeoIP2Fast v1.2.0 is ready! geoip2fast.dat.gz loaded with 4.488.723 networks in 0.47685 seconds and using 408.66 MiB.

Use the parameter '-v' to see all networks included in your /opt/geoip2fast/geoip2fast/geoip2fast.dat.gz file.

Current IPv4 coverage:  99.64% (4.279.552.038 IPv4 in 3.246.406 networks) [0.59747 sec]
Current IPv6 coverage:   0.40% (1.364.444.943.175.748.876.962.337.373.462.462.464 IPv6 in 1.242.317 networks) [0.59747 sec]

geoip2fast --coverage -v

# geoip2fast --coverage -v
GeoIP2Fast v1.2.0 is ready! geoip2fast.dat.gz loaded with 753.871 networks in 0.13392 seconds and using 103.54 MiB.

Use the parameter '-v' to see all networks included in your /usr/local/lib/python3.11/dist-packages/geoip2fast/geoip2fast.dat.gz file.

- Network: 0.0.0.0/8           IPs: 16777216   -- Reserved for self identification    0.000042983 sec
- Network: 1.0.0.0/24          IPs: 256        AU Australia                           0.000017615 sec
- Network: 1.0.1.0/24          IPs: 256        CN China                               0.000011633 sec
- Network: 1.0.2.0/23          IPs: 512        CN China                               0.000009464 sec
- Network: 1.0.4.0/22          IPs: 1024       AU Australia                           0.000008925 sec
(.....)
- Network: 2c0f:ffc0::/32      IPs: 79228162514264337593543950336 ZA South Africa                        0.000026057 sec
- Network: 2c0f:ffc8::/32      IPs: 79228162514264337593543950336 ZA South Africa                        0.000028565 sec
- Network: 2c0f:ffd0::/32      IPs: 79228162514264337593543950336 ZA South Africa                        0.000026283 sec
- Network: 2c0f:ffd8::/32      IPs: 79228162514264337593543950336 ZA South Africa                        0.000026832 sec
- Network: 2c0f:ffe8::/32      IPs: 79228162514264337593543950336 NG Nigeria                             0.000027137 sec
- Network: 2c0f:fff0::/32      IPs: 79228162514264337593543950336 NG Nigeria                             0.000028008 sec
- Network: fd00::/8            IPs: 1329227995784915872903807060280344576 -- Reserved for Unique Local Addresses 0.000031203 sec

Current IPv4 coverage:  99.64% (4.279.420.966 IPv4 in 459.270 networks) [64.13669 sec]
Current IPv6 coverage:   0.40% (1.364.444.943.175.748.876.962.337.373.462.462.464 IPv6 in 294.601 networks) [64.13669 sec]

geoip2fast --missing-ips

# geoip2fast --missing-ips
GeoIP2Fast v1.2.0 is ready! geoip2fast.dat.gz loaded with 753.871 networks in 0.13392 seconds and using 103.54 MiB.

Searching for missing IPs... 

From 1.34.65.179     to 1.34.65.179     > Network 1.34.65.180/32     > Missing IPs: 1
From 1.46.23.235     to 1.46.23.235     > Network 1.46.23.236/32     > Missing IPs: 1
From 2.12.211.171    to 2.12.211.171    > Network 2.12.211.172/32    > Missing IPs: 1
(.....)
From 220.158.148.0   to 220.158.151.255 > Network 220.158.152.0/22   > Missing IPs: 1024
From 223.165.0.0     to 223.165.3.255   > Network 223.165.4.0/22     > Missing IPs: 1024

>>> Valid IP addresses without geo information: 15.551.441 (0.36% of all IPv4) [27.17811 sec]

Some IPs are excluded as described in page "Do Not Sell My Personal Information Requests" at Maxmind website.

GeoIP2Dat - update geoip2fast.dat.gz file anytime

The updates of geoip2fast.dat.gz file will be published twice a week on Github https://github.com/rabuchaim/geoip2fast/releases/latest. You can also create your own dat file whenever you want, see instructions below.

Download the Geolite2 Country CSV files from Maxmind website and place it into some diretory (in this example, was placed into /opt/maxmind/). Extract this zip file into this directory and run geoip2dat to see the options.

The options (--country-dir OR --city-dir) AND --output-dir are mandatory. Specify the path of extracted files in --country-dir or --city-dir option. And for --output-dir, put the current path ./.

If you want to add support for ASN data, add the option --asn-dir. And if you want to add IPv6 support, just add --with-ipv6 to your command line.

You can choose the language of country locations. The default is en.

After creation of geoip2dat.dat.gz file, move or copy this file to the directory of your application or to the directory of GeoIP2Fast library. You choose.

From now you don't depend on anyone to have your data file updated. There's no point the code being open-source if you're dependent of a single file.

The Philosophers call it 'Libertas'

Using your own networks

For the next version, I´m planning to create an option to include your own networks in the database. For example, imagine you have a large private network on AWS, and each subnet is in a different region. You will be able to include them in the database to use GeoIP2Fast in your application. For now, you can edit the reservedNetworks variable at the beginning of the geoip2dat.py file and then generate your own data file.

Suggestions and ideas are welcome. The initial idea is to include an option --include-networks in geoip2dat.py where you enter a json file.

Create your own GeoIP CLI with 6 lines

1. Create a file named geoipcli.py and save it in your home directory with the text below:

#!/usr/bin/env python3
import os, sys, geoip2fast
if len(sys.argv) > 1 and sys.argv[1] is not None:
    geoip2fast.GeoIP2Fast().lookup(sys.argv[1]).pp_json(print_result=True)
else:
    print(f"Usage: {os.path.basename(__file__)} <ip_address>")

2. Give execution permisstion to your file and create a symbolic link to your new file into /usr/sbin folder, like this (let's assume that you saved the file into directory /root)

chmod 750 /root/geoipcli.py
ln -s /root/geoipcli.py /usr/sbin/geoipcli

3. Now, you just need to call geoipcli from any path.

# geoipcli
Usage: geoipcli <ip_address>

# geoipcli 1.2.3.4
{
   "ip": "1.2.3.4",
   "country_code": "AU",
   "country_name": "Australia",
   "cidr": "1.2.3.0/24",
   "hostname": "",
   "is_private": false,
   "elapsed_time": "0.000019727 sec"
}

# geoipcli x.y.z.w
{
   "ip": "x.y.z.w",
   "country_code": "",
   "country_name": "<invalid ip address>",
   "cidr": "",
   "hostname": "",
   "is_private": false,
   "elapsed_time": "0.000012493 sec"
}

# geoipcli 57.242.128.144
{
   "ip": "57.242.128.144",
   "country_code": "--",
   "country_name": "<network not found in database>",
   "cidr": "",
   "hostname": "",
   "is_private": false,
   "elapsed_time": "0.000019127 sec"
}

GeoIP libraries that inspired me

GeoIP2Nation - https://pypi.org/project/geoip2nation/ (Created by Avi Asher)

This library uses sqlite3 in-memory tables and use the same search concepts as GeoIP2Fast (based on search by the first´s IPs). Simple and fast! Unfortunately it is no longer being updated and that is why I developed GeoIP2Fast.

GeoIP2 - https://pypi.org/project/geoip2/ (created by Maxmind)

This is the best library to work with Maxmind (paid subscription or with the free version). You can use http requests to Maxmind services or work with local Maxmind MMDB binary files. Pretty fast too. Sign-up to have access to all files of the free version https://dev.maxmind.com/geoip/geolite2-free-geolocation-data

* Maxmind is a registered trademark - https://www.maxmind.com

TO DO list

• a pure-python version for REDIS with a very small footprint (pure protocol, won´t use any REDIS library) <<< On the way at https://github.com/rabuchaim/geoip2redis
• a GeoIP Server; <<< On the way a docker container, your own GeoIP server inside your network. With rest API or socket (super fast)
• a mod_geoip2fast for NGINX;
• a better manual, maybe at readthedocs.io;
• Done in v1.2.0 - a version with cities;
• Done in v1.1.0 - IPv6 support.
• Done in v1.0.5 - a version with ASN.
• Done in v1.0.2 - provide a script to update the base. If you have the paid subscription of Maxmind, you can download the files, extract into some directory and use this script to create your own geoip2fast.dat.gz file with the most complete, reliable and updated GeoIP information.

Sugestions, feedbacks, bugs, wrong locations...

E-mail me: ricardoabuchaim at gmail.com