Install

pip install namegender

Usage

>>> import namegender
>>> namegender.predict('Otto')
{'name': 'Otto', 'gender': 'male', 'probability': 99.68185288877577, 'samples': 31432}
>>> namegender.predict_list(['Otto', 'Jane'])
[
  {'gender': 'male', 'samples': 31432, 'name': 'Otto', 'probability': 99.68185288877577},
  {'gender': 'female', 'samples': 370379, 'name': 'Jane', 'probability': 99.69382713382778}
]

Sources

• https://github.com/ropensci/genderdata

• https://catalog.data.gov/dataset/baby-names-from-social-security-card-applications-data-by-state-and-district-of-

• https://catalog.data.gov/dataset/baby-names-from-social-security-card-applications-national-level-data

• http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/nlp/corpora/names/0.html

• https://usa.ipums.org/usa/

• https://www.nappdata.org/napp/