dsietz/test-data-generation
Test Data Generation
This library helps software development teams create realistic test data for their applications. You feed it existing samples of data (like customer names or addresses), and it learns the patterns to generate new, similar-looking data on the fly. This avoids using sensitive production data or complex data masking processes for testing.
No commits in the last 6 months.
Use this if you need to quickly generate high volumes of representative, non-sensitive test data for your software without relying on actual production databases or manual data preparation.
Not ideal if you require mathematically random data or exact replicas of production datasets, as this tool focuses on generating data that 'looks like' your samples based on learned patterns.
Stars
36
Forks
3
Language
Rust
License
Apache-2.0
Category
Last pushed
Dec 18, 2021
Monthly downloads
674
Commits (30d)
0
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