1 रिपॉजिटरी
Awesome GitHub RepositoriesConditional Data Transformations
Logic that applies data transformations only when specific predicates are met.
Distinct from Conditional Transformations: None of the candidates cover general conditional transformation of synthetic data values; most focus on code or prompts.
Explore 1 awesome GitHub repository matching software engineering & architecture · Conditional Data Transformations. Refine with filters or upvote what's useful.
Awesome Conditional Data Transformations GitHub Repositories
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- lk-geimfari/mimesis
lk-geimfari/mimesis
4,818GitHub पर देखेंMimesis is a Python synthetic data generator used to create realistic fake datasets and mock data for software testing and development. It functions as a schema-based dataset generator capable of producing structured records and relational datasets, while also serving as a production data anonymizer to replace sensitive information with synthetic values. The library distinguishes itself through comprehensive multilingual support, allowing for the generation of locale-specific information to simulate regional user profiles. It ensures reproducibility through deterministic data generation using
Transforms generated synthetic values only when they meet a predefined predicate.
Pythondatadataframedatascience
