Libraries

Client libraries and SDK's for nationality prediction with our API's

Predict nationality from a name with Python, R, Ruby or almost any programming language. Amazing people developed amazing libraries for our API's and we brought them together here.

Check Gender From a Name With Python

With Python being one of the most popular languages for data science, the community has created several robust packages for gender classification. With simple API's they allow you to input names and retrieve predicted genders with accuracy scores. The most used Python libraries are SteelPangolin/genderize and acceptable-security/gender.py.

Other Gender Classification Libraries

Genderize.io offers robust libraries for PHP, R, Ruby, and JavaScript to predict gender from names efficiently. Ideal for user profiling and data analysis, these libraries feature straightforward APIs for accurate results. Integrate gender classification seamlessly into your projects using their comprehensive tools and documentation, regardless of the programming language you prefer.