{"categories":[{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic"}],"enrichment":{"capability":"Guesses the gender of a person from their first name using a lookup database, with support for country-specific inference and internationalized names.","skillfed_tags":["name-parsing","demographics","data-enrichment"],"use_cases":["Preprocessing demographic data in research or analytics pipelines where gender inference from names is acceptable","Filtering or categorizing contact lists or user databases by inferred gender for marketing or segmentation","Handling name-gender mismatches in data quality checks or data cleaning workflows","Multilingual name processing where you need gender hints across different language origins","Building simple heuristics for form validation or user profile enrichment in low-stakes contexts"],"what_it_does":"Gender Guesser is a lightweight name-to-gender classifier that looks up first names in a static database and returns a gender classification. It returns one of six outcomes: unknown (name not in database), andy (equally likely male or female), male, female, mostly_male, or mostly_female. The package supports internationalized names (including non-ASCII characters), case-sensitive or case-insensitive matching, and country-specific inference\u2014the same name can yield different results depending on the country context you provide.\n\nThe package wraps data originally from Jorg Michael's standalone 'gender' program and is a fork of the SexMachine project. It has no external runtime dependencies and installs as a pure Python wheel. The underlying data is static and was last updated in the original package's 2016 release; the package itself has not been actively maintained since then, though the repository remains available.","worth_installing":"Yes, if you need a simple, dependency-free gender classifier for non-critical use cases and accept the copyleft licensing. The package is stable and has no known vulnerabilities, but be aware it is aging (last release 2016) with static data, so accuracy may be limited for modern or uncommon names. Not suitable for high-stakes demographic inference or proprietary software without GPL compliance."},"id":"gender-guesser","links":{"html":"https://skillfed.io/packages/gender-guesser","md":"https://skillfed.io/packages/gender-guesser.md","pypi":"https://pypi.org/project/gender-guesser/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2016-12-05","license_spdx":null,"license_treatment":"copyleft","name":"gender-guesser","python_support":"unspecified","summary":"Get the gender from first name."},"popularity":{"monthly_downloads":984046,"position":4579,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.4.0"}