Forge Realistic Data. Build Reliable Software.
Generate realistic, deterministic, country-specific synthetic data for development, testing, automation, API mocking, demos, and environment seeding.
var customers =
DataForger
.ForCountry(Country.PT)
.Create<Customer>(100);Everything you need for realistic test data
Six capabilities that make DataForger a drop-in replacement for hand-written fixtures.
Country Aware
Localized names, addresses, phone numbers, and identifiers for each supported country.
- Seven country providers built in
- Locale-correct formats and validation rules
- Country-specific identifiers such as NIF, CPF, and SSN
Deterministic
Repeatable generation using seeds. The same seed always produces the same data.
- Seeded pseudo-random generation
- Stable output across machines and runs
- Ideal for snapshots, diffs, and reproducible tests
Extensible
Custom generators plug into the pipeline when you need domain-specific values.
- Register generators per type or property
- Override built-in behavior per country
- Composable with existing providers
Enterprise Ready
Built for professional software development: predictable, typed, and maintainable.
- Strongly typed POCO mapping
- No runtime surprises or dynamic proxies
- Fits CI/CD and regulated environments
High Performance
Generate thousands of entities quickly without slowing down your test suite.
- Fast in-memory generation
- Scales to large collections
- Zero allocation overhead where possible
Open Source
Community-driven development with a public roadmap and open issue tracker.
- MIT licensed
- Public roadmap and issues
- Contributions welcome
Seven country providers
Localized names, addresses, formats, and national identifiers — out of the box.
One fluent API
Pick a country, describe your entity, call Create. Language-aware examples below.
var person = DataForger
.ForCountry(Country.PT)
.Create<Person>();
Console.WriteLine(person.Name);
// Ana MartinsWhy DataForger
Test data should be a solved problem, not a maintenance burden.
No more hand-written fixtures
Replace scattered seed files and hardcoded test data with one fluent API.
Locales that actually match
Names, addresses, formats, and identifiers follow each country's real conventions.
Reproducible by design
Seeded generation means a failing test fails for the same reason, every time.
Zero runtime footprint
A plain .NET library. No database, no service, no external API calls.
Enterprise use cases
Where synthetic data earns its place in professional pipelines.
Development & Testing
Seed databases with realistic fixtures instead of hand-written rows and brittle CSV files.
API Mocking
Return believable, schema-correct responses that mirror production data shapes.
CI/CD Pipelines
Deterministic seeds keep integration tests reproducible across every pipeline run.
Demos & Prototypes
Populate demos with locale-accurate data so stakeholders recognize their own market.
Load & Performance Testing
Generate thousands of unique entities to stress indexes, queries, and search.
Privacy-Safe Workflows
Synthetic data carries no PII, simplifying sharing across teams and environments.
Open source at heart
DataForger is MIT licensed and developed in the open. Report issues, propose country providers, or ship custom generators — the roadmap lives on GitHub.
Star on GitHubForge Realistic Data. Build Reliable Software.
Start generating realistic, deterministic test data in minutes.