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UPDATE October 2021: The original author of the code has a busy day job. Responses to issues and PRs will probably be delayed, sorry in advance!

Gender computer

Gender computer is a Python tool that tries to infer a person's gender from their name (mostly first name) and location (country). For example, Andrea is a first name typically used by men in Italy and women in Germany, while Bogdan is a first name typically used by men irrespective of the country. Similarly, a Russian person called Anna Akhmatova is more than likely a woman because of the -ova suffix.

Data provenance

The tool uses lists of male and female first names for different countries. Whenever available, the data came from national statistics institutes and was accompanied by frequency information. See this list for details about the source of data for each country.

The tool also uses the database of first names from all around the world provided together with gender.c, an open source C program for name-based gender inference ( We transform the database (i.e., the nam_dict.txt file shipped together with gender.c; see the archive on into a Python dictionary using the script.



python3 install


To use the tool simply create a new GenderComputer object and call the resolveGender method on a (name, country) tuple:

from genderComputer import GenderComputer
gc = GenderComputer()

print(gc.resolveGender('Alexei Matrosov', 'Russia'))
> male

print(gc.resolveGender('Matrosov Alexei', 'Russia'))
> male

print(gc.resolveGender('Bogdan', None))
> male

print(gc.resolveGender('w35l3y', 'Brazil'))
> male

print(gc.resolveGender('Ashley Maher', 'Australia'))
> female

The tool works well for clean names, but may produce unexpected results otherwise:

print(gc.resolveGender('jasondavis', 'USA'))
> None

print(gc.resolveGender('aix', None))
> female

Reporting bugs

Please use the Issue Tracker for reporting bugs and feature requests.

Patches, bug fixes etc are welcome. Please fork the repository and create a pull request when done fixing/implementing the new feature.



Tool that tries to guess a person's gender based on their name and location







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