# philipperemy/name-dataset

The Python library for names.

Repository: https://github.com/philipperemy/name-dataset
Canonical: https://ross.abutalabs.com/products/name-dataset
Language: Python
License: Apache-2.0
License Family: permissive
Topics: python, dataset, named-entity-recognition, name
Last push: 2025-04-09T01:49:51+00:00

## Health v2 (maintenance only)
Score: 39/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 15, release rhythm 35, longevity 100
- inputs: {"age_days": 2885, "days_push": 512, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1017, forks 155 (observed 2026-08-28T04:03:14.686198+00:00)

## What it is
A Python library and dataset of 730K first names and 983K last names with country rankings, gender prediction, fuzzy search, and autocomplete. Data was extracted from a large Facebook user dump and covers 105 countries.

## Use cases
- predict gender from a first name
- guess the country of origin of a name
- validate and enrich user names in a signup form
- fuzzy match misspelled names
- autocomplete name input fields
- analyze name popularity by country

## When to choose
- you need offline name-to-gender or name-to-country inference in Python
- you want a large curated name dataset for analysis or ML features
- you need fuzzy or prefix search over first and last names

## When to avoid
- your environment cannot spare ~3.2 GB of RAM
- you need real-time lookups with fast startup
- you require verified or consented data sources

## Facets
- artifact type: dataset
- maturity: active
- function: nlp, data-science, search-engine
- domain: data-science, analytics
- platform: python, cross-platform
- tags: names, gender-prediction, name-classification, fuzzy-search, autocomplete, demographics, natural-language-processing

## Member repositories
- philipperemy/name-dataset (main) score 39

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:14.686198+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:11:14.843788+00:00, confidence not recorded.
  - readme: https://github.com/philipperemy/name-dataset (fetched 2026-08-28T04:03:14.686198+00:00, sha 5ebe3aeb5b4c)
- Data as of 2026-08-30T08:39:29.467469+00:00.