Side by side
Datafaker vs GoFakeIt
Both stand on test data generation tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Self-hosted
Datafaker offers broad synthetic-data generation with extensive provider and format options. Check the Java requirement and deprecated XML support before choosing a version.
Visit Datafaker Free plan APISelf-hosted
GoFakeIt offers a broad set of synthetic-data generators alongside customization through tags, custom functions and templates. It is a focused option for Go-based work rather than a hosted general-purpose data service.
Visit GoFakeItThe facts
| Datafaker | GoFakeIt | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Self-hosted | API, Self-hosted |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | datafaker.net | github.com |
| On test data generation tools | #14 of 28 | #18 of 28 |
Datafaker: what it does well
- 263 listed data providers
- Custom providers can be coded or loaded from YAML
- Supports collections and streams with null rates
- Generates CSV, JSON, SQL, YAML, and more
- Free under Apache License 2.0
What to know first
- Datafaker 2.x requires Java 17
- XML functionality is deprecated
- Datafaker 1.x is no longer maintained
- Weighted selection is limited to custom hardcoded providers
GoFakeIt: what it does well
- Lists more than 310 generation functions.
- Supports custom functions and struct tags.
- Seeds can produce reproducible results.
- Includes an HTTP server and command line tool.
- Supports CSV, JSON and XML.
What to know first
- Written in Go.
- Self-hosted deployment is listed.
- The documented installation uses a Go package command.
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