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Awesome GitHub RepositoriesAnonymization Rules
Configurable masking rules that replace sensitive column values with synthetic data during database restore operations.
Distinct from Column-Level Validation: Distinct from Column-Level Validation: focuses on replacing values with synthetic data for privacy, not checking values against validation rules.
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Awesome Anonymization Rules GitHub Repositories
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- qovery/replibyte
Qovery/Replibyte
4,381在 GitHub 上查看Replibyte is a tool that automates the lifecycle of database snapshots for non-production environments, handling the export, anonymization, subsetting, and restoration of data. It is designed to support privacy-compliant development workflows by replacing sensitive production data with synthetic values and extracting consistent subsets of rows while preserving referential integrity. The tool operates through a configurable pipeline defined in a YAML file, orchestrating stages such as dump, anonymize, subset, and restore. Each operation runs as an isolated, ephemeral container job, and snapsho
Replaces sensitive database column values with synthetic data during restore for privacy compliance.
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