# brianvoe/gofakeit

Random fake data generator written in go

Repository: https://github.com/brianvoe/gofakeit
Canonical: https://ross.abutalabs.com/products/gofakeit
Language: Go
License: MIT
License Family: permissive
Topics: go, data, generator, random, fake, golang, seed
Last push: 2026-08-20T15:10:51+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 32, longevity 100
- inputs: {"age_days": 4149, "days_push": 13, "days_rel": 298, "gap_med": 134, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5382, forks 298 (observed 2026-08-28T04:09:16.265838+00:00)

## What it is
Gofakeit is a random fake data generator library for Go offering 310+ functions for names, emails, phones, companies, credit cards, and more, with support for seeding, custom functions, templates, and struct auto-filling. The repository also ships a companion command-line tool and an HTTP server for generating fake data outside of Go code.

## Use cases
- generate fake data for go unit tests
- seed a database with dummy records
- create random names and emails in golang
- populate structs with fake values using tags
- reproducible random data with a fixed seed
- fake data generator from the command line
- mock user data for local development

## When to choose
- you write Go and need fake data with zero dependencies
- you need reproducible output by setting a seed
- you want to auto-populate structs with fake values
- you want a CLI or HTTP endpoint that serves random data
- you need a wide variety of data categories (300+ functions) from one library

## When to avoid
- you need anonymized versions of real production data rather than synthetic values
- you are not in the Go ecosystem and prefer a native faker library for your language (though the CLI/server partly mitigates this)
- you need highly locale-specific realistic datasets beyond what the provided functions cover

## Facets
- artifact type: library
- maturity: stable
- function: data-generation, testing, cli, http-server
- domain: developer-tools, testing
- platform: go, cli, cross-platform
- tags: fake-data, mock-data, test-data, faker, seed, reproducible-randomness, struct-filling, templates, zero-dependencies, dummy-data

## Member repositories
- brianvoe/gofakeit (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:16.265838+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 2026-08-29T17:58:26.194744+00:00, confidence not recorded.
  - readme: https://github.com/brianvoe/gofakeit (fetched 2026-08-28T04:09:16.265838+00:00, sha a053a4eaebaa)
- Data as of 2026-08-30T08:39:29.467469+00:00.