Developer Builds India-Specific Fake Data Generator for Realistic App Testing

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A developer has released an open-source library called 'indian-fakedata' to address the problem of culturally inaccurate mock data used in app development and ML model training. Standard fake-data tools randomly combine names, religions, and locations without regard for demographic context, producing impossible profiles such as a Sikh person named Mohammed Sharma from Mizoram. The new library generates contextually consistent Indian demographic profiles, linking attributes like religion, caste, language, state, and district in realistic combinations. Each generated profile includes over 60 fields spanning identity documents, financial data, lifestyle habits, and psychographic traits. The tool is aimed at developers building applications for the Indian market who require high-fidelity test data.

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