# bchavez/Bogus

:card_index: A simple fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.

Repository: https://github.com/bchavez/Bogus
Canonical: https://ross.abutalabs.com/products/bogus
Language: C#
License: NOASSERTION
License Family: other
Topics: fake, data, generator, dotnet, csharp, faker, c-sharp, bogus, poco, data-access-layer, database, seed, test-data, data-generator
Last push: 2025-12-22T22:34:35+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 58, release rhythm 42, longevity 100
- inputs: {"age_days": 4106, "days_push": 254, "days_rel": 311, "gap_med": 50, "n_releases_24m": 4}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9731, forks 540 (observed 2026-08-28T04:10:36.976923+00:00)

## What it is
Bogus is a fake data generator library for .NET languages (C#, F#, VB.NET), ported from faker.js with a FluentValidation-inspired fluent API. It generates realistic fake data for populating databases, UIs, and tests.

## Use cases
- generate fake test data in C#
- seed a database with realistic dummy data
- create mock POCO objects for unit tests
- generate random names, addresses, and emails for demos
- populate UI prototypes with sample data
- port faker.js workflows to .NET

## When to choose
- you need realistic fake data for .NET testing or demos
- you want a fluent, rule-based API for defining data generation
- you need locale-aware fake data across many data categories

## When to avoid
- you need production-grade real data, not synthetic data
- you're outside the .NET ecosystem
- you need anonymization of existing real data rather than generation

## Facets
- artifact type: library
- maturity: active
- function: data-generation, testing, mocking
- domain: developer-tools, testing, data-science
- platform: dotnet, cross-platform
- tags: fake-data, faker, seed-data, test-data, fluent-api, nuget

## Member repositories
- bchavez/Bogus (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:36.976923+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 2026-08-29T17:21:13.619881+00:00, confidence not recorded.
  - readme: https://github.com/bchavez/Bogus (fetched 2026-08-28T04:10:36.976923+00:00, sha 532bd6bd7762)
- Data as of 2026-08-30T08:39:29.467469+00:00.